2026-04-26 10:00:52
Ah, analytics. The lifeline of any business.
If you have been using web analytics for a long time, then you know that it can hugely impact how you do digital marketing.
In this article, we talk about omnichannel analytics, why analytics are hard for notifications, and what we believe is needed to empower PMs.
Hi Devs!
This blog post explains the most intricate data warehouse SQL techniques in detail.
Banks are so screwed. They are about to be attacked by central banks, fintech, and crypto companies.
let us explore more advanced SQL concepts. It may sound a bit complicated at first glance, but I will provide simple examples suitable for beginners…
AI is being used to help analysts with routine tasks. But it can also be a real contender on the analytics team.
In this article, we’ll be deep-diving on how to build Apache Superset from the source. The official documentation is too complicated for a new contributor and thus my attempt to simplify it.
True story from retail finance about LTV modeling with ML algorithms for evaluation customer acquisition channels.
Qrvey's turnkey solution to multi-tenant analytics takes the stress out of building and delivering embedded analytics for SaaS applications.
Is graph really the new star schema? What do graphs like to non-insiders, and what attracts them to the community, methodologies, applications, and innovation?
I'm pretty sure you would have heard the term API, and if you were wondering what it is, then this is the article for you.
What Is Vesting Schedule?
How can we know ours ads are making impact that we aim for? What if targeted ads are not working the way we want them to?
I do not track you. I don't have to, and I don't care to.
It is not a secret to anyone that YCombinator is the most successful accelerator in the world. They have made well over 2,538 investments.
Dune analytics quickly became the go-to tool for DeFi analytics. What was it that made it grow so quickly. We explain the details here.
I'll share insights into how we can uncover untapped potential in pricing, assortment management, and stock logistics with data-based instruments and processes.
Hello, people! I'm an IT analyst from Russia, and I want to make the world around me better. Last time I worked for the biggest Russian energy company as a business analyst, and during my work, I noticed that it is unnecessary to be good at making the final result even if you are a really good professional in your field.
A story of how to make NestJS application scale and being able to process thousands of requests per second.
Causal Impact analysis is a valuable tool, but it comes with its set of limitations that practitioners need to be mindful of.
What is a universal semantic layer, and how is it different from a semantic layer? Is there actual semantics involved? Who uses that, how, and what for?
Fundraising is a funny art.
Mobile App Heatmaps: What they are and why they matter. UXCam mobile app heatmaps are one of the most powerful tools for mobile apps.
Measuring AI impact made clear: experiments, causal methods, and sanity checks to separate real improvement from coincidence.
In these difficult days for all of us, I’ve heard all sorts of things. From the fake news sent through Whatsapp, like vitamin C can save your life, to holding your breath in the morning to check if you’ve been hit by COVID-19. The mantra that everyone keeps repeating is “stay at home!”, okay fine, but what exactly does “stay home” mean? The question seems ridiculous when you think of a relatively short period, 15 days? A month? But if we look critically at the situation, we surely realize that it won’t be 15 days, and it won’t be a month. It will be a long, long time. Why am I saying this? Because “stay at home” doesn’t protect us from the virus. Staying at home is to protect our health care facilities from collapse. And I’m not saying that this is wrong. I’m just saying that if we want to protect the health care system from collapse, well then we’ll stay home a long, long time. But in doing so we will irreparably damage the economic system by profoundly changing our social and political model. It is inevitable. Let’s face it and not have too many illusions.
In this post, we highlight some key differences between a Customer Data Platform (CDP) and other tools generally used in a marketing tech stack. We also tackle the all-important question on many companies’ minds: “should I build or buy a CDP?.”
Elections play crucial role in all democracies and social media is an important aspect in this process. Presently, political parties increasingly rely on social media platforms like Twitter and Facebook for political communication.The use of social media in political marketing campaigns has grown dramatically over the past few years. It is also expected to become even more critical to future political campaigns, as it creates two-way communication and engagement that stimulates and fosters candidates relationships with their supporters.
Discover how a backend developer overcomes obstacles in processing large JSON log files.
Big data is a big problem, at least getting anything useful out of it. Every day there is about three quintillion (the next step up is sextillion or one zettabyte) bytes of data created and only about 20% of it is structured and available to easily process. Nearly all useful processing that is done relies on a philosophy that is little changed from the green bar reports we were generating during the night shift and handing out up till the turn of the century. The whole map/reduce process is overnight batch processing, you aren’t working on live data, you are working on a snapshot, which might be fine for some companies, but for others, they need to be able to make decisions on high-velocity inbound data in near/real time.
If you are a two-degree marketplace like Uber, you cater to millions of users requesting a ride through your driver partners accepting and fulfilling those requests. For a three-degree marketplace like Swiggy, there is another static component added (like restaurants or stores), where delivery partners pick up the orders.
From astrophysics to data science, here's a story of a lifetime journey with modeling the Universe and other dynamic things that move through space and time.
Self-host your own website analytics with Umami.
A large portion of mild and asymptomatic cases may go unreported. The data will never be perfect, the true cases are likely much larger as the testing frequency and effectiveness vary in different regions.
Optimizing Business Decisions With MILP (Mixed Integer Linear Programming) and Python: the Ultimate Solution for Business Analytics
How does a "link in bio" placement in Instagram captions influence engagement? Read this article to discover what the data says about Instagram link in bio.
Closing the gap between successful & failed eCommerce. How do we make value concrete in an intangible world?
Have that old laptop that's just in the back of your closet? Figure out how to give it a new life!
Unify data silos on-premise and across cloud environments to provide data locality, accessibility, and elasticity
“Can machine learning models help improve ball accuracy, precision and retention, leading to scoring after throw-ins?
Uncover the science behind the fun! Explore why game analytics matter in modern development, driving data-driven decisions and optimizing player experiences.
List of Top 10 Data Scientist skills that guaranteed employment. As well as a selection of helpful resources to master these skills
The article tells how one can leverage RLS in both Power BI and Apache Superset to mitigate potential data breaches.
Graphs, and knowledge graphs, are key concepts and technologies for the 2020s. What will they look like, and what will they enable going forward?
Learn how to seamlessly incorporate Mixpanel analytics into your email communication by integrating it with Mailgun using Latenode.com automation platform.
A list of the most important API metrics every API product manager and engineer should know, especially when you are looking into API analytics and reporting.
Adding Firebase to Project
Laravel Telescope is a customized debugging panel with different aspects of the application, where each aspect is highlighted in a separate menu item.
Today, web analytics are an important part of how millions of businesses operate. Businesses of all sizes and stripes rely on services like Google Analytics to help them understand consumer wants and optimize web experiences for them. Data analytics is a rapidly growing field as well, expected to be worth $550 billion by 2028.
You can read the first part of this article here. For those who for some reason don’t like to follow the links, let me remind you briefly: in the first part, we made a retrospective of fintech trends in 2020 and delved into the first 5 trends in 2021.
Basis my experience of using Google Analytics, Heap & FullStory, I think no one does a perfect job. Here's an ideal PRD for Web Analytics
Umami Analytics is an open-source alternative to Google Analytics. It is free (open source) and allows self hosting (no vendor lock in).
Product teams have a lot of great practices that data teams would benefit from adopting. Namely: user-centricity and proactivity.
Simplicity is the best policy.
ChainIntelGPT is a revolutionary AI-powered platform that combines real-time blockchain data analysis and a natural language search engine.
We will guide you through a specific dataset, demonstrating how to implement the library and interpret results.
Historically, technological revolutions have triggered similar waves of anxiety, only for the long-term outcomes to demonstrate a more optimistic narrative.
Adding tracking code to your site allows you to monitor how users interact with your site. Collecting tracking data gives you insight into their online behavior and helps you to optimize your online marketing strategies.
Over the next decade or so, we’ll see an incredible transformation in how companies collect, process, transform and use data. Though it’s tired to trot out Marc Andreessen’s “software will eat the world” quote, I have always believed in the corollary: “Software practices will eat the business.” This is starting with data practices.
Year of the Graph Newsletter, September 2019
With the emergence of online platforms, B2B businesses have had to reconsider their pricing strategies. But, these same technologies help the organizations create dynamic B2B pricing models that bring substantial profits if implemented correctly. For example, an integrated sales and B2B pricing software can help sales reps negotiate with customers and reduce the processing period.
Analytics works by extracting meaningful patterns in data and interpreting and communicating them.
Matthew Benham graduated from the world-renowned University of Oxford in 1989 with a degree in Physics.
With an emerging pattern of organizations embracing the DevOps framework, adopting Microservice Architecture is steadily gaining the respect it deserves.
Assisterr is a web3 and crypto analytics tool that combines ChatGPT and dynamic dashboards with on-chain and off-chain data.
Apache Flink is one of the most versatile data streaming open-source solution that exists. It supports all the primary functions of a typical batch processing system such as SQL, Connectors to Hive, Group By, etc. while providing fault-tolerance and exactly-once semantics. Hence, you can create a multitude of push-based applications using it.
How To Measure The Results Of In-App Events When Onelinks Don’t Work
Foursquare is evolving, and its next steps will be powered by the Foursquare Graph
Artificial Intelligence(AI) has already proven to solve some of the complex problems across the wide array of industries like automobile, education, healthcare, e-commerce, agriculture etc. and yield greater productivity, smart solutions, improved security and care, business intelligence with the aid of predictive, prescriptive and descriptive analytics. So what can AI do for Manufacturing Industry?
Understanding how to clean data is essential to ensure your data tells an accurate story
Blockchain economies exist in cyberspace and regular economies exist in geographical space. Cyberspace is inherently different from geographical space. That said, we believe it is not a stretch to assert that a blockchain fits the definition of an economy.
There are many different forms of data analytics, and these have different applications in business.
Indicators for burnout risk of software developers can be measured at an early stage with analytical software-based methods and allow for timely countermeasures
Think about all of the things you could do with unlimited data and insights about your sales. Now, think about all of the things you could do with future data and insights about your sales?
What the Python community's discussion about deprecating wheels can tech us about data-driven decision making in open-source
3 years ago, disaster struck.
How companies used game analytics to generate great revenue from their games.
A snapshot of the adoption wave for graphs in the real world, and the evolution of their use to support and advance AI – generative or otherwise.
I believe listicles have a huge potential for testing demand hypotheses. Have you tried using listicles for your demand validation?
While working on Cube.js, we’re seeing a lot of different visualization libraries. Given that Cube.js provides an API layer for analytics on top of an SQL database and doesn’t play on the visualization field, any charting library can be used to build dashboards with it. That’s why we’re always on a search for a nice and developer-friendly visualization library.
Monte Carlo is a conceptually simple but powerful technique that is widely used. It makes use of randomness to answer questions.
For many businesses the lack of data isn’t an issue. Actually, it’s the contrary, there’s usually too much data accessible to make an obvious decision. With that much data to sort, you need additional information from your data.
Some time ago, a few friends and I decided to build an app. We duck-taped our code together, launched our first version, then attracted a few users with a small marketing budget.
The emergence of technology is playing an inevitable role in business. It’s drastically transforming the way people work together in an organization. Both these technologies are revolutionizing every aspect of our life. These technologies are creating a culture where the collaboration of IT leaders and businesses results in realizing values from all generated data.
The story behind the birth of a new entry in the graph database market and its differentiation in a very densely populated market.
People have a wide range of different "tools" that can give them cheap and fast relief of anxiety or other psychological conditions.
In the beginning, learning Machine Learning (ML) can be intimidating. Terms like “Gradient Descent”, “Latent Dirichlet Allocation” or “Convolutional Layer” can scare lots of people. But there are friendly ways of getting into the discipline, and I think starting with Decision Trees is a wise decision.
Free Mobile App Analytics Tools: Explore our comprehensive reviews. Uncover key features, benefits, and make an informed choice for your app success.
Reasoning: ChatGPT4.0 got the joke, ChatGPT3.5 did not
Creativity: ChatGPT4.0 does a better job.
Analytics: ChatGPT4.0 is a better programer than ChatGPT3.5
Data-based analysis shows that Collective Code Ownership can do harm and affected code areas can probably become hotspots of maintenance.
Beware, not all traffic is created equally. If you’re a website owner running advertising and SEO campaigns, the chances are that traffic is important to you. An effective campaign can lead to a healthy increase in visitors, but watch out - statistically speaking, the majority of browsers that navigate onto your pages will not only be uninterested in your product but won’t actually be human at all.
In this article I want to share my experience with developing an AI service for a web analytics platform called Swetrix.
A cursory guide for digital copywriting.
A preambular article describing the fundamental principles & intuition behind the “LIME” concept in Artificial Intelligence & Machine learning.
In this post, we will dig into the Google HEART framework: a simple way to ensure you take into consideration every aspect of the user journey.
According to a McKinsey study of over 400 large enterprises across 12 industries, companies with high-performance engineering teams best their competition in all areas, including revenue growth, customer satisfaction, and brand perception. The evidence is so clear that the study itself is called, “How software excellence fuels business performance,” and it concludes that software development is integral to business success in all industries — retail, financial services, manufacturing, and of course, software companies, all require a strong engineering department to succeed.
Yet, many executives view their engineering departments as a “black box.” While other departments report on their success with metrics like revenue, customer retention rate, or cost of new customer acquisition, engineering metrics don’t often make it into the board deck. But engineering metrics are essential to understanding how your company is doing. They convey critical information about your company’s ability to deliver value to your customers, and your company’s potential for future success.
Plus, engineering is expensive — it’s important to know whether that’s money well-spent.
For a holistic picture of how your engineering department — and your business — is doing, you need to start tracking engineering metrics.
Love in the time of COVID is a… challenge, to say the least.
The “manifesto for data practices” (datapractices.org), was produced by a Data for Good Exchange, sponsored by Data for Democracy and Bloomberg, promoted by former U.S. Chief Data Scientist DJ Patil. The document’s creators incurred no risk by creating and promoting it, so it should not be surprising that the product fails to live up to its own ethical standards. We won’t fix ethics by fixing those tools, the creators of those tools built systematic bias into their products before deploying them.
Unlock the potential of every QR Code! Autonix trackable Link and QR Code Generator lets businesses collect and analyze visitor data for informed decisions.
If you have ever worked or currently working in the IT field, then you definitely faced the common term «machine learning.
As we have already figured out, in all financial markets the price of any asset is shown in the form of graphs that are constantly changing during the trading session. Candlestick analysis of the currency market remains popular to this day, proving its effectiveness and relevance.
In this blog, you will see how we slashed data ingestion time by half using Hudi and Alluxio.
Setting up a website is relatively easy in 2020. Gone are the days when you had to code the whole thing on notepad and then connect to your host with some additional FTP software.
Big data has made a slow transition from being a vague boogie man to being a force of profound and meaningful change. Though it’s far from reaching its full potential, data is already having an enormous impact onhealthcare outcomes across the world — both at the public and individual levels.
For far too long, online marketers, agencies, and other influencers have created collateral that they think will appeal to their target market.
Images. That's it. Images. As a point of practicality, take a fashion designer (as a forum member vividly described to me at one point). You are given an image or have an image at your disposal that simply tickles your curiosity and want to incorporate it in one of your new lines. Let's swerve a little into the genetics section. Given a petri dish image for instance, with pigmented bacteria or similar organisms, and you would like to find the abundance of that organism or organisms in this specific image. Get the gist?
Austin here, your friendly neighborhood software engineer from Hacker Noon, with some exciting news! We are pleased as punch to announce that contributing writers can now see pageviews and total time reading for all stories published with Hacker Noon since we began in 2016. How cool is that? Previously our stats page was only accessible for recent story performance.
If you want to learn how to spy on your top direct competitors' ads – this guide is for you.
Role of of pharma analytics to enumerate the factors accountable for falling medication adherence and the increasing role of data analytics and machine learnin
Yield farming and crypto investments are profitable, as long as you understand the risks and assess them accurately. Risks are hidden everywhere: smart contracts, impermanent loss, rug pulls, liquidation, token volatility, people's greed. Why settle for less when some projects promise more than 10,000% APY? In an environment like this, going for 150% returns feels like you're losing money. But is it the right thing to do?
Build real-time analytics platform on AWS with data ingestion, processing, storage and visualization. Utilize tools like Kinesis, S3 and Firehose for insights.
If you have an answer, we’d love to hear from you.
Car insurance is about as dull as things can get, right? WRONG. In the dawn of artificial intelligence, machine learning and robotics, just about every industry is undergoing huge transformation - and the insurance industry is no different. For instance, auto-reminders are now in place so clients can have a peace of mind - one of the many ways technology affords us more convenience.
The gradient descent algorithm is an approach to find the minimum point or optimal solution for a given dataset. It follows the steepest descent approach. That is it moves in the negative gradient direction to find the local or global minima, starting out from a random point. We use gradient descent to reach the lowest point of the cost function.
API Analytics are key for any platform company that wants to gain insights into their API and platform usage. These insights can be leveraged by product owners, growth teams, developer relations, and more to make more strategic decisions based on the raw health of your platform business rather than just gut feelings. However, many API platforms have a very high volume of API calls per day. This volume creates a set of unique challenges when designing an analytics system that scales without crippling their platform or having sticker shock when looking at their cloud vendor’s bill. This post goes into some of the inner workings of how we designs Moesif’s API analytics platform to handle companies with billions of API calls a day.
Image: Goodreads.com
There are many articles on analyzing Spotify data and many applications as well. Some are a one-time analysis on individual's music library and some are an app for a specific purpose. This app is different in that it does not do one thing. It is meant to grow and provide a place to add more analysis. This article is about how the audio features time series was created.
Predictive models now rule over modern analytics stacks from recommendation engines to demand forecasting and fraud detection.
Graph database Neo4j is building an ecosystem for Graph-powered features for Generative AI and beyond with all major cloud platforms
Amazon Neptune, the managed graph database service by AWS, makes analytics faster and more agile while introducing a vision aiming to simplify graph databases.
This article is to study how social distancing impacts the spread of the corona virus and thus impacting the number of hospital beds needed. This study is based on varying the basic reproduction number Ro and simulating its impact on the spread of the virus using a simple Epidemic model called SIR.
2019 Tech Trends for Marketers: How finely tuned is your targeting?
News and analysis on where Knowledge Graphs, Graph Databases, Graph Analytics and Graph AI are today and where they’re headed to. New types of Knowledge Graphs.
This article describes the design and the implementation in Alluxio to keep metadata synchronized.
Graphs, analytics and Generative AI. An account of the different ways graphs and AI mingle, plus industry and research news.
Decentralization has become an inevitable process, not just in the crypto industry but far beyond it as well. This is easy to understand since users prefer full ownership of assets and freedom of action, instead of widespread interventions by third parties. It appears that the FBI understands the current trend and is ready to take preventive action.
Data has become an increasingly important factor when it comes to the health of any app or website. Having all of your important numbers such as the number of downloads, amount of money generated from downloads and even the most recent feedback is the key to continued success.
A story of how I created NFT Sorter, a tool that lists over 150+ projects sorted by Twitter followers, number of tweets, average likes, replies, and retweets.
In the following tutorial, I’ll show you how to create a basic analytics dashboard with Node, Express, and Cube.js. As a database, we’re going to use MongoDB with MongoDB BI Connector. If you’re not familiar with it, I highly recommend you go through the Building a MongoDB Dashboard tutorial. It covers the basics of setting up Mongo and its BI Connector.
A guide for testing analytics events for QA-engineers
In a world that’s set to continue its transition online, optimizing your company’s website has never been more vital.
The podcast industry is booming. Each week the number of Americans who listen to podcasts tops the number of those who have Netflix accounts.
ARR originally stood for Annual Recurring Revenue, which had a rather definition of only looking at recurring contracts with a service length of a year or more.
The 5 hottest dbt Repositories you should star on Github 2022 - Those are mine!
You, obviously. And millions of people from around the world. What audience are you advertising to? Who are you writing for? Learn more about our readers here.
So we’ve all heard that “data is the new oil” way too many times. It’s been said so often that I personally feel slightly nauseous every time someone says that (sorry).
How cognitive biases make us overlook problems in our code and how we vigorously defend our opinions against data-based insights. And what can help against it.
This article guides when and how to implement and maintain event tracking and product funnels. It uses practical real life examples
Avoid silent analytics bugs by using two Open Source tools. First, get free from vendor lock-in by replacing the vendor analytics SDKs with RudderStack SDK that
PowerBI is shifting from "PBIX" to "PBIR". This article explains what actually changes, who benefits and how teams should prepare for the future without panic.
It is 2020 and the data analytics has gained so much attention even outside of the tech community. "Data is gold", they say - no one wants to be left behind. However, getting the right strategy is neither a straightforward nor static process.
Today, let’s dig deep into another significant indicator to learn more about the trading volume of QATAR 2022 TOKEN.
In this post, we'll look at a few ways to provide insight into stream viewers.
In this episode, we discuss how the company first began, how it has grown, and the solutions it currently offers.
Obviously, this is the hottest time for football token projects to bloom and the value of their fan token cryptos will rise in the run-up to the event. However,
Let's talk about the Pareto law, the dashboard fallacy, and how to answer the hardest question in analytics
Learn everything you need to know about Analytics via these 188 free HackerNoon stories.
So you have started a new business? Congratulations! Launching a brand can be as competitive as struggling to find a satisfactory corporate job. And promoting it can also be quite challenging. You may think that it is enough to drive it alone with passion and enthusiasm, but even with these two attributes, you know what has exactly been missing.
In a world where product differentiators are minimal, customer experience is becoming the decisive factor. In a report by PwC, 73% of respondents listed customer experience as important, yet companies are still not leveraging this opportunity enough. Organizations should also consider that 42% of the same respondents said that they are ready to pay more if that guarantees a better experience.
AI is about to expose weak BI architecture. "DirectQuery" collapses under machine curiosity. Decision-aligned design is the only way forward.
Hidden cloud BI cost: data egress between platforms. Learn how “zombie data movement” quietly inflates analytics bills in modern BI architectures.
Data analytics is transforming external audits using Power Query, CCH and risk-based planning for faster, smarter audits.
Website analytics give you genuine reports and examinations of how your webpage guests act once on your site.
Enterprise software companies sell very differently today than just a decade ago. Previously, most software was shrink-wrapped, required a lot of effort to distribute and implement, and was sold to an executive who would have to deploy it throughout their department or organization. The buying process involved a long sales cycle and often included pilots, cost-benefit analyses, procurement, and legal reviews.
Let’s take a deeper look into Google Analytics 4 and explore some of its key features that you might not yet know about.
This article highlights a number of stories which show the different facets of game analytics that may be good or not so great.
A few weeks ago MariaDB launched their new database-as-a-service (DBaaS), SkySQL, amid the Coronavirus Pandemic. While they also offered a $500 credit to get started, as of last week, they announced a program to offer their fully-managed analytics (columnar based storage) service for free to help fight COVID-19.
P value is the probability that the results we are seeing are real and not by random chance. P-Hacking is a term used to describe the scientific manipulation of data to get the desired P value. All of us do this with our experiments, consciously or not.
Interview with Tyler Hochman, CEO of FORE Enterprise.
Big data is a sort of Data addition that contains greater variety, arriving in increasing volumes and with more velocity which is also called three Vs. It could explain in several words by severals but actually what stands for it.
If you're searching for a simple and effective method to incorporate real-time page views into your next.js website, you've come across the perfect tutorial.
When your company is client-oriented, one of your priority tasks is understanding your clients’ problems and gathering insights on how people use your product and when exactly they benefit from it.
In this article you will learn what are columnar databases, why and when do people use them and what are the most common columnar databases.
Written by founder and CEO of Kick Ecosystem and KickEX exchange Anti Danilevski
A 90-day BI rebuild that eliminated DirectQuery spikes, optimized 500M-row models, and saved $110K annually through smarter data architecture.
Data is increasingly playing a dominant role in business. Know how automating your data catalog can help with efficient data management in 2022.
The worst nightmare of analytics managers is accidentally blowing up the data warehouse cost. How can we avoid receiving unexpectedly expensive bills?
Credit: Shonagh Rae
Intro
Predictive analytics is able to predict which customers are most likely to churn or which products are most likely to be returned. Here are 6 other use cases.
The propagation of artificial intelligence (AI) is making a significant impact on society, changing the way how we work, live, and communicate. AI today is allowing the world to diagnose diseases and develop clinical pathways. It is also being used to match individuals’ skill sets with job openings and create smart traffic that leads to the reduction of pollution. There are many examples of applying AI technologies in the sustainable growth of the planet and organisations.
What does graph have to do with machine learning, and data science? A lot, actually, and it goes both ways.
Businesses need agile tools to quickly identify and communicate actionable insights for more informed decision-making.
Recommendation in Healthcare with simple analytics to show most trending products on the platform.
How CTV/OTT measurement influences the results and helps in optimization.
I'm working on a leaner and more transparent alternative to Google Analytics without all the privacy baggage. It's called Plausible Analytics and you can see the live demo here.
Modern BI workloads demand more than star schemas. Learn when dimensional models work and when purpose-driven analytical tables improve performance.
How to evaluate product releases without an A/B test. A trustworthy framework using causal inference, Synthetic Control, and rigorous data guardrails.
We discuss Piwik, an open source analytics software and why marketing teams are choosing privacy-oriented alternatives to Google Analytics.
Due to the frenzy of pandemic-included quarantines, it’s no surprise that media consumption has seen a massive increase. People’s time that would have otherwise been spent perusing malls or going to live events, is now being spent on the sofa.
In order to capture API calls from arbitrary environments, we had to create middleware for many of the common web API frameworks. Here's what we learnt.
In databases, data update is to add, delete, or modify data. Timely data update is an important part of high quality data services.
While everyone dreams of owning a flourishing business, running it successfully is a daunting task. No matter the scale of the business, small or large, maintaining profitably takes a toll. As per the statistics published by the Bureau of Labour Statistics, about 20 percent of small businesses fail during the first year of commencement. More so, in about the fifth year, almost half of them lose the race.
Dr. Nicole Forsgren, Jez Humble, and Gene Kim published the results of their years of research developed upon 23 000 datasets from international companies.
SEO bleeds as Google's AI Overviews steal clicks and authority. Adapt your strategy now, or be erased from the battlefield of attention.
UX analytics is crucial for developing your product. It provides necessary business information about how exactly your customers use the released application.
With bad data, you are sending money out the door to target the wrong audience and generating clicks that do not convert.
Occasionally you need to process some HTTP server logs and extract analytical data from them.
Technology is now one of the essential elements for the growth and development of many businesses. Artificial Intelligence (AI) is an example of such tech becoming popular with businesses, like online lending.
How well do you know your target audience? It was Lewis Carroll who famously said, “If you don’t know where you are going, any road will get you there.” While this is a romantic saying, it’s not a realist marketing strategy in this day and age.
In this blog, we are gonna perform the analysis on the Meteorological data, and prove the hypothesis based on visualization.
Follow me along on how I explored Germany’s largest travel forum Vielfliegertref. As an inspiring data scientist, building interesting portfolio projects is key to showcase your skills. When I learned coding and data science as a business student through online courses, I disliked that datasets were made up of fake data or were solved before like Boston House Prices or the Titanic dataset on Kaggle.
Learn how to scale operations effectively. This guide explores how to streamline workflows and empower non-engineers to move fast without breaking things.
Business enterprises that want a competitive advantage must have certain tools to enhance their survival chances.
This Slogging thread by Yuvraj Malik, Akshay M. Bharadwaj, Will Fang, Jiani wei, Evan Leong and Ansley Miller occurred in product-school's official #06producttools channel, and has been edited for readability.
Before you can start finding things out about your audience, you have to figure out what you want from your social media marketing strategy.
On what it means to be an orchestrator and why the more i get into tech, the more i want to go analog.
Econometric methodologies model counterfactual consequences upfront so that an analyst can predict what would happen without intervention.
Table of Contents
Effective dashboard design helps DevOps, SRE and developers easily understand the system and quickly troubleshoot incidents. Here's how to do it right.
How do my users move in this city? Where do they go? What does the “flow” of this city look like? How does that change throughout the day?
Explore the world of log aggregation and analytics to transform your data into invaluable insights.
The burden the COVID-19 novel coronavirus has placed on the world is enormous. There’s a great thirst for information and clarity. So, we at Logz.io have decided to offer a Community COVID-19 Dashboard Project, so that everyone can better understand how the outbreak impacts the world and their region. We see that as a community effort. We invite the global community of engineers and data scientists to add data to this public dashboard that will cover not just the direct impact of the coronavirus on public health, but other aspects of society as well. We want to help everyone better understand the impact of COVID-19 anywhere around the world.
In the healthcare landscape, providers and lawmakers alike are faced with the challenge of making the best possible decisions for patients and the industry as a whole. From choosing the best treatments to using resources in a responsible manner, medical leaders are making decisions on a daily basis that can significantly impact health outcomes and costs.
All the Key differences between Google analytics and Mikros and highlighted here in this blog
With modern-day work largely centered on digital platforms, automating the handling of big data has become more important than ever. This is where Artificial Intelligence (AI) comes in— performing tasks more efficiently by imitating our abilities to learn and solve problems. As technology advances at breakneck speed, fueled by the IoT environment, it has paved the way for a synergistic relationship between Artificial Intelligence and Big Data.
Disclaimer: Many points made in this post have been derived from discussions with various parties, but do not represent any individuals or organisations.
Boosting conversions is an important part of growing your business and having the right tools to boost conversions is crucial to meeting your objectives.
By now you must have read quite a few articles about Snowflake’s absolutely mind-blowing and record-setting IPO. This article is not intended to speculate on whether the valuation makes sense or not, but rather help you understand the technological concepts that make Snowflake so unique, and why it has proven to be so disruptful for the data space in general and the data warehousing space in particular.
Below you can find the article of my colleague and Big Data expert Boris Trofimov.
Data Science and analytics in the sports market is expected to increase to $2.93 billion at a rate of 20.65%. According to a survey conducted by KPMG, 97% of sports professionals believe that technology, including data science and analytics, will have a significant impact on the sports industry in the coming years.
Economic intelligence is embedding a structured way of reasoning into decision systems.
Quick 1-hour method to audit startup funnels and find conversion leaks for SaaS and growth-focused companies.
Benchmark a Hybrid Transactional and Analytical RDBMS (Photo: Sawitre)
Towards a Knowledge Graph economy. The Year of the Graph Newsletter, Summer 2020
What work does a data engineer actually do? Let me tell you one thing: it’s not what you think they should be doing, especially not the part where they are running around collecting data for you or building yet another one of those dashboards that will only be used for a few weeks.
Tencent has implemented a 1000-node Alluxio cluster and designed a scalable, robust, and performant architecture to accelerate the game AI training.
“Data Rules” is a book about the relationship of data with economic institutions and society, but also about the interplay with data technologies
An article that I read recently stated that 41% of businesses struggle to turn data into decisions. This got me thinking about my own experience with product analytics.
Google announced that it would ban the usage of third-party cookies; it has made a lot of publishers afraid that they won't be able to utilize user data.
In addition, I have been interested in the functioning of our brain for a year now and have read a lot about it. That's how I came across the cognitive biases.
Use this five-stage maturity framework to validate, benchmark, and map your company’s progress toward digital maturity and leadership.
This article covers 7 data engineering gotchas in an ML project. The list is sorted in descending order based on the number of times I've encountered each one.
My 2022-year-in-review for blogging. It covers my top posts from this year, top all-time posts by traffic, and the insights I’ve gleaned from the data.
Get started with data analytics using the open-source MariaDB database and the ColumnStore engine all running on Docker
How GEO (Generative Engine Optimization) is reshaping visibility. Why the next decade belongs to brands trusted by both humans and machines.
Comprehensive and insightful approach to fraud detection using the Anomaly Model but also explains detailed the limitations of traditional fraud prevention
A “lean data” strategy is necessary for today’s e-commerce businesses to stay nimble, avoid “data muck” and not be bogged down by too much data.
Data analytics tools are increasingly being used in businesses, but many people still make critical decisions based on assumptions and guesses. The most common reason for this is the lack of a single, integrated source of information that gives executives accurate and consistent data whenever needed.
One of the trickiest things for companies or really anyone running a website is figuring out the success of their site, how many visits they are getting, and how they got them, while at the same time respecting their visitor’s privacy.
Most of us default to Google Analytics, Mixpanel, or similar tools because they're familiar and comprehensive. But here's the thing: landing pages aren't websit
If you're working on something that users actually use, then you're most likely also acquiring data en masse. When it comes to free text feedback, this data might get lost or stay in the hands of some analysts. How to take a few easy steps, to turn that data into actionable steps instead.
Most engineers in their professional life will have to deal with data integrations. In the past few years, a few companies such as Fivetran and StitchData have emerged for batch-based integrations, and Segment for event-based ones. But none of these companies have solved the problem of data integrations, which becomes more and more complex with the growing number of B2B tools that companies use.
Learn easy ways to find and leverage your most popular pages to maximize the organic traffic to your website and boost sales for your business.
Discover how Impactful's CTO pioneers eco-friendly business analytics for a sustainable future in our insightful interview with Slav Dunaev.
As a data analysis tool, Power BI comes loaded with plenty of report generation and design features. However, do not rely on the default settings of the tool.
Whenever we talk to prospects about what’s broken in their marketing efforts, 8 out of 10 tell us analytics and attribution. How to fix 4 common pitfalls.
Are you building a Software-as-a-Service platform? Wondering what data is essential for your business? Time for a Data Analytics Strategy.
Good news is you know Google Page Speed tools exist and, probably, wonder how to use them to improve your website. Though there is much information out there about the performance tools and website performance analytics, it may seem a bit confusing. We gathered the most important facts to help you understand the topic and use it to your advantage. Whether you are a marketer or a developer, keep on reading as we may have one or two new things here you didn't know.
An infographic to take a look at how to use more of your organization's data with Google Analytics 360 to form solid data based business decisions proactively.
In this blog, we look at strategies for selecting the right BI tool as well as some important things to keep in mind throughout the process.
“It’s a basic truth of the human condition that everybody lies. The only variable is about what…”
“Truth begins in lies…"
What does marketing automation mean? Are activities planned triggered on user-generated events. Simple and clear.
Writers don't want artificial intelligence products. Why would they? They're losing their jobs to them.
Alluxio brings back data locality for the disaggregated analytics stack in K8s.
AI dashboards can turn unstable metric definitions into trusted operating decisions before teams agree on what the numbers actually mean.
By building observability and analytics into your notification system, you can identify and quickly resolve issues by monitoring how your product is performing.
Everything you need to consider before you’re ready to make the Build vs Buy decision for your subscription analytics platform.
The ubiquity of analytics hides potential complexity underneath, especially when you start to consider products where the analytics are more front and centre.
To determine how testing protocols for COVID-19 vary across the United States, we sent requests under public records laws to all 50 states, New York City, and Washington, D.C. The requests were sent to health departments the week of March 16 and were identical. The database below contains responses we have received, as well as publicly available guidance from some jurisdictions.
The team behind Qnum Analytics, tool leveraging AI to help businesses fix leaky inventory buckets, shares their origin story and what makes their team special.
Visit the /Learn Repo to find the most read blog posts about any technology.
2026-04-26 06:13:32
April 24 2026 | Global — As structural changes reshape the crypto market, liquidity is increasingly moving across trading venues rather than concentrating in a few dominant platforms. Global crypto derivatives exchange Zoomex states that the shift is not driven by shrinking market activity, but by evolving trader behavior — with users prioritizing execution quality and trading efficiency over platform size.
According to CoinGlass, total crypto trading volume reached approximately $20.6 trillion in Q1 2026, with derivatives accounting for around $18.6 trillion — nearly 90% of total activity. This structural imbalance highlights a broader transformation: crypto markets are increasingly driven by trading activity rather than long-term holding, where execution speed, liquidity quality and responsiveness directly impact outcomes.
Zoomex observes that in a derivatives-dominated landscape, liquidity is no longer a static resource held by a few legacy exchanges. Recent industry moves reinforce this: the NYSE’s parent company taking a stake in crypto trading, and Deutsche Börse’s heavy commitment to tokenized derivatives, signal that the competition has shifted from "asset listing" to "flow capture."
"As traders become more selective, platform choice is increasingly defined by execution efficiency, usability, and trust," states the Zoomex team. "Zoomex addresses this through a unified account structure that removes friction between spot and derivatives trading, combined with deep liquidity across more than 590 perpetual contracts to support stable execution."
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At the execution level, liquidity is not only about availability — it is about usability.
Research from CryptoRank indicates that Zoomex demonstrates strong order book depth across major assets:
In addition, execution tests show that a 1 BTC market order on Zoomex results in approximately 0.03% slippage.
These metrics suggest that traders can access more stable execution environments across multiple assets, helping reduce implicit trading costs and maintain consistency in strategy performance.
In 2026, many execution inefficiencies stem not from the market, but from technical debt. Zoomex’s infrastructure is engineered to maintain sub-10ms latency, a critical benchmark that reduces slippage in fast-moving markets.
This technical edge is supported by a unified account structure, allowing traders to pivot between spot and derivative strategies without the delay of internal transfers. By shortening the distance between trading intent and execution, Zoomex solves the "operational friction" that often plagues legacy platforms.
As trading environments become more complex, usability has emerged as a key differentiator. A 2025 study by the Financial Conduct Authority (FCA) found that "ease of use" is now a top-tier factor in platform selection.
Zoomex aligns with this shift by offering a simplified interface that reduces operational complexity. However, simplicity does not come at the expense of transparency. The system is designed to keep order execution and account records clear and verifiable, ensuring consistency in how trades are processed.
In an industry where trust is the ultimate currency, transparency must be more than a marketing slogan—it must be a technical reality. Zoomex believes that a platform's integrity is defined by the clarity of its fund flows and the impartiality of its execution engine.
"To Zoomex, transparency is more than a report; it’s a verifiable fund flow," the team emphasizes.
"Through our real-time asset display system and rigorous anti-manipulation protocols, we ensure that every trade is executed in a 'glass-box' environment, where fairness is hard-coded into the engine." By eliminating information asymmetry and preventing internal wash trading, Zoomex ensures that every participant—from individual retail traders to large-scale institutions—operates on a truly level playing field.
The next round of exchange competition will hinge on more than just a long menu of products. As derivatives continue to dominate and institutional participation expands, the deciding factor is shifting toward the predictability of the trading experience.
Zoomex’s positioning is clear: In a faster and more fragmented market, the winners will be those who minimize friction. By providing a direct and predictable trading experience that aligns with how modern traders evaluate platforms, Zoomex is not just participating in the liquidity shift — it is leading it.
Founded in 2021, Zoomex is a global cryptocurrency trading platform with over 3 million users across more than 35 countries and regions, offering 700+ trading pairs. Guided by its core values of “Simple × User-Friendly × Fast,” Zoomex is also committed to the principles of fairness, integrity, and transparency, delivering a high-performance, low-barrier, and trustworthy trading experience.
Powered by a high-performance matching engine and transparent asset and order displays, Zoomex ensures consistent trade execution and fully traceable results. This approach reduces information asymmetry and allows users to clearly understand their asset status and every trading outcome. While prioritizing speed and efficiency, the platform continues to optimize product structure and overall user experience with robust risk management in place.
As an official partner of the Haas F1 Team, Zoomex brings the same focus on speed, precision, and reliable rule execution from the racetrack to trading. In addition, Zoomex has established a global exclusive brand ambassador partnership with world-class goalkeeper Emiliano Martínez. His professionalism, discipline, and consistency further reinforce Zoomex’s commitment to fair trading and long-term user trust.
In terms of security and compliance, Zoomex holds regulatory licenses including Canada MSB, U.S. MSB, U.S. NFA, and Australia AUSTRAC, and has successfully passed security audits conducted by blockchain security firm Hacken. Operating within a compliant framework while offering flexible identity verification options and an open trading system, Zoomex is building a trading environment that is simpler, more transparent, more secure, and more accessible for users worldwide.
:::tip This story was published as a press release by Blockmanwire under HackerNoon’s Business Blogging Program
:::
Disclaimer:
This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR
2026-04-26 04:00:57
Humans with irrational brains writing about machines with rational brains. This tag is sponsored by Bright Data. Write a story on data collection at scale for AI and win from $2,500!
What’s the one algorithm that’s used in almost every Machine Learning model? It’s Gradient Descent. There are a few variations of the algorithm but this, essentially, is how any ML model learns. Without this, ML wouldn’t be where it is right now.
We explore the link between three popular loss functions: crossentropy, logloss and perplexity
As a beginner, jumping into a new machine learning project can be overwhelming. The whole process starts with picking a data set, and second of all, study the data set in order to find out which machine learning algorithm class or type will fit best on the set of data.
Prompting is pretty much the only skill you now require to be a master of these new large and powerful generative models such as ChatGPT.
ChatGPT has taken over Twitter and pretty much the whole internet, thanks to its power and the meme potential it provides.
There can be one or many solutions to a given problem, depending on the scenario, As there can be many ways to solve that problem. Think about how do you approach a problem. Lets say you need to do something straight forward like a math multiplication. Clearly there is one correct solution, but many algorithms to multiply, depending on the size of the input. Now, take a more complicated problem, like playing a game(imagine your favorite game, chess, poker, call of duty, DOTA, anything..). In most of these games, at a given point in time, you have multiple moves that you can make, and you choose the one that gives you best possible outcome. In this scenario, there is no one correct solution, but there is a best possible solution, depending on what you want to achieve. Also, there are multiple ways to approach the problem, based on what strategy you choose to have for your game play.
This isn’t just editing, but actually the creation of completely new images, allowing you to change object positions, subject poses, and more.
I set out to find out Alpaca/LLama 7B language model, running on my Macbook Pro, can achieve similar performance as chatGPT 3.5
The telecommunications industry is experiencing an extraordinary shift: infrastructure that operates with independent judgment.
In order to understand how a certain metric varies over time and to predict future values, we will look at the 10 Best Datasets for Time Series Analysis.
While it is evident that machine learning algorithms are able to solve more challenging requirements, they are not yet perfect.
Explore how AI transforms B2B marketing through enhanced content creation and analytics, while learning to sidestep common pitfalls for maximum benefit.
As soon as we have a new technology, we use it to make p*rn. Any rudimentary search on the printing press, radio, TV, and the internet proves this. In fact, the internet’s early success was likely due to the technology’s ability to propagate erotic images and videos.
Explore an in-depth comparison of AI-generated vs human-written text, highlighting the role of perplexity and burstiness in language models.
Because of the hefty amount of data that are there without any practical use.
If you follow AI you might have heard about the advent of the potentially revolutionary Capsule Networks. I will show you how you can start using them today.
Image annotation is one of the most important tasks in computer vision. With numerous applications, computer vision essentially strives to give a machine eyes – the ability to see and interpret the world. At times, machine learning projects seem to unlock futuristic technology we never thought possible. AI-powered applications like augmented reality, automatic speech recognition, and neural machine translation have the potential to change lives and businesses around the world. Likewise, the technologies that computer vision can give us (autonomous vehicles, facial recognition, unmanned drones) are extraordinary.
There are multiple approaches that you might take to create Artificial Intelligence, based on what we hope to achieve with it and how will we measure its success. It ranges from extremely rare and complex systems, like self driving cars and robotics, to something that is a part of our daily lives, like face recognition, machine translation and email classification.
In this article, we will compare four of the most advanced AI bots: GPT-4, Bing, Claude+, Bard, and GitHub Co-Pilot, by asking them to solve coding challenges.
Generative AI has made groundbreaking strides in the past few months, and Generative AI models have risen in general popularity.
In this story i would go through how to begin a working on deep learning without the need to have a powerful computer with the best gpu , and without the need of having to rent a virtual machine , I would go through how to have a free processing on a GPU , and connect it to a free storage , how to directly add files to your online storage without the need to download then upload , and how to unzip file for free online .
The cryptocurrency market faces uncertainties, but attention is shifting to the potential of Web3, Blockchain, and Tokenization.
2030 will be weird
Autonomous mobile robots for assembly factories as a databus for computers. Creating advanced eco-system using modular architecture and AI-driven factory OS
ChatGPT-5 and AGI is on the way and it is bound to change the world as we know it.
The article showcases the top 10 AI tools that can transform the way you work and live by automating tasks and improving productivity.
I believe that AI’s impact and future pathways are overstated because human nature is ignored in such statements.
Computer vision enables computers to understand the content of images and videos. The goal in computer vision is to automate tasks that the human visual system can do.
I have always been a pretty private person, but lately, the weight of it feels as unbearable as ever.
Let’s speak about usage of edge AI devices for office entrance security system development with the help of face and voice recognition.
This guide will cover the basics of working with AI text prompts and how you can effectively utilize them to render the images you envisioned.
Learn to fine-tune PaddleOCR for custom text recognition: from environment setup and data prep to training and deploying your tailored OCR model
Facial recognition-based authentication to verify a user in a web application is discussed in a beginner-friendly manner using FaceIO APIs.
ChatGPT made AI mainstream, but real transformation comes from ecosystems that embed AI across business, not from relying on a single model.
Will AI replace humans and create an inevitable worldwide unemployment crisis?
A reflection on why true automation starts with human thinking, not technology. Systems only work as clearly as the minds that design them.
Learn how to run Mixtral locally and have your own AI-powered terminal, remove its censorship, and train it with the data you want.
This article discusses alternative ML team organizational models and recommendations for matching team structures to the company's stage of development.
Educators are beginning to incorporate AI into the classroom at nearly every grade level making the learning experience more personalized and efficient.
While non-AI tools can also be useful, these specific tools have significantly improved my efficiency and performance.
As if taking a picture wasn’t a challenging enough technological prowess, we are now doing the opposite: modeling the world from pictures. I’ve covered amazing AI-based models that could take images and turn them into high-quality scenes. A challenging task that consists of taking a few images in the 2-dimensional picture world to create how the object or person would look in the real world.
In this paper, readers will find an overview roadmap to generating a strong ML system that starts from data management to streamline operations efficiently.
ChatGPT is a large language model developed by OpneAI. Here are some ways you can use ChatGPT for Python programming.
Chatbots are extremely helpful for business organizations and also the customers. The majority of people prefer to talk directly from a chatbox instead of calling service centers. Facebook released data that proved the value of bots. More than 2 billion messages are sent between people and companies monthly. The HubSpot research tells that 71% of the people want to get customer support from messaging apps. It is a quick way to get their problems solved so chatbots have a bright future in organizations.
Hello, Machine Learning community!
What to know about SingularityNET (AGI)?
Generative artificial intelligence (AI) is moving at warp speed. Keep up with the latest trends and developments by subscribing to several AI newsletters!
Dalle mini is amazing — and YOU can use it!
AI in education transforms learning experiences for all stakeholders and reshapes conventional educational paradigms.
An overview of 174 AI Tools, a very long overview. Most are free or have a free trial period, some you have to pay for immediately. I’ve broken it down into 8 c
An effective chatbot requires a massive amount of training data in order to quickly solve user inquiries without human intervention. However, the primary bottleneck in chatbot development is obtaining realistic, task-oriented dialog data to train these machine learning-based systems.
Secure the future of Your Business with GenAI. Consider 3 factors needed for successful deployment of GenAI in your business.
Unreadable text can spoil an image, and that has paved the way for the image enhancer function. Read this post to learn what this function can do.
Scale AI needs your help training AI models.
Text classification datasets are used to categorize natural language texts according to content. For example, think classifying news articles by topic, or classifying book reviews based on a positive or negative response. Text classification is also helpful for language detection, organizing customer feedback, and fraud detection. Though time consuming when done manually, this process can be automated with machine learning models. The result saves companies time while also providing valuable data insights.
While the release of GPT-3 marks a significant milestone in the development of AI, the path forward is still obscure. There are still certain limitations to the technology today. Here are six of the major limitations facing data scientists today.
Perplexity’s Comet browser changed how I work—AI-powered, distraction-free, and built for productivity, not ad clicks.
Data is very important in building computer vision models and these are the 10 Biggest Datasets for Computer Vision.
Lean AI can revolutionize venture capital investment by identifying successful startups and helping founders avoid challenges with economic uncertainty.
Everybody remembers their first time.
AI boosts individual performance but weakens organisational thinking. Why smarter workers and faster tools can leave companies less intelligent than before.
Learn how to effectively communicate with machines with this 101 post series on Prompt Engineering.
This model takes a picture, understands which particles are supposed to be moving, and realistically animates them in an infinite loop!
Explore how AI hallucinations, often seen as flaws, can fuel human creativity. Discover DALL-E 3s power to imagine the surreal and inspire artistic breakthrough
Once upon a time, in a galaxy far, far away…just kidding, it was in Silicon Valley, OpenAI was founded as a nonprofit research lab with a mission to save the
For those interested in AI, make sure these twelve AI Twitter accounts are on your daily feed.
Using ChatGPT to help write a bash script to download YouTube videos
AI art, neural networks & creative disruption—explore how a simple apple exposes the edge between human intuition and machine intelligence.
Learn to build effective feedback loops for AI products, connecting real user signals to model metrics for continuous improvement and better performance.
Manipulating Structured Data (from PDFs) with the Model behind ChatGPT, LangChain, and Python for Powerful AI-driven Applications.
Four engines, one prompt, slightly suspiciously honest commentary.
Exploring Emotion, Identity, and Creativity Through a Human-AI Art Experiment with DALL·E 3
The term ‘MLOps’ is appearing more and more. Many from a traditional DevOps background might wonder why this isn’t just called ‘DevOps’. In this article we’ll explain why MLOps is so different from mainstream DevOps and see why it poses new challenges for the industry.
Founder of Makerpad, Ben Tossell, goes over potential business ideas that could come true with ChatGPT.
List of top trending AI tools
Is the SaaS industry on the brink of collapse? Explore how AI is reshaping software creation and pricing.
Here’s DreamFusion, a new Google Research model that can understand a sentence enough to generate a 3D model of it.
Speech Recognition is the ability of a machine or program to identify words and phrases in spoken language and convert them to textual information.
Introducing gptrim, a free web app that will reduce the size of your prompts by 40%-60% while preserving most of the original information for GPT to process.
Omnity AI: Revolutionize token distribution on social media with AI-driven multichain Grants, launching on X. Expand Web3 communities securely and efficiently.
OrcaMind.ai is an AI-powered thinking, on-chain intelligent whale — AI-powered and built to navigate the deep waters of Web3.
This article deals with a technique called "SetFit" that requires minimum data to train a ML model that outperforms the GPT-3 model performance significantly.
I wasn’t around when the internet was discovered for the first time but I could only imagine this must be what it’s like to do so.
Learn how ChatGPT can work alongside your marketing team to harness the power of AI to achieve unprecedented growth and success.
$300 computer to run generative AI models locally, e.g. large language model inference and stable diffusion image generation.
Let's take a look at a few construction startups that simplify the work of construction companies through artificial intelligence, robotics, and automation.
Undetectable AI bypasses AI content detectors by turning ChatGPT generated text into 100% human written quality text
If you're like most security practitioners, you're always on the lookout for new tools and techniques to help you gather intelligence. ChatGPT is one of those n
For those looking to build predictive models, this article will introduce 10 stock market and cryptocurrency datasets for machine learning.
On February 13, Lumoz announced the official launch of Lumoz Chain and released the migration guide and reward plan for Verifier nodes.
AI's impact on Agile Project Management and Scrum Mastery will go from “interesting” to “total game-changer” faster than you think.
You’re not a suspect for writing too well — you’re just a human who still knows how to use language.
In this article, I will share my experience using GitHub Copilot for SQL and explore how it impacted my coding efficiency.
For digital nomads, college students, stay-at-home parents or anyone looking for remote work positions, this article introduces online/remote work positions that are available today in the fields of AI Data Collection and Data Annotation.
In an era where data privacy is paramount, setting up your own local language model (LLM) provides a crucial solution for companies and individuals alike.
Santiago explains why Instagram is dead.
NVIDIA's new AI model, Perfusion, advances text-to-image generation with enhanced control and fidelity for concept-based visuals.
Alex documents how people are using GPT-4.
Beginners face a choice: acquire foundational knowledge or await further simplification.
Everyone is GPU-poor these days So my mission is to fine-tune a LLaMA-2 model with only one GPU and run on my laptop
OpenAI cofounder and chief scientist Ilya Stuskever talks about ChatGPT and the promise of models like GPT-4
AI is being used to help analysts with routine tasks. But it can also be a real contender on the analytics team.
Learn how to effectively communicate with machines with this 101 post series on Prompt Engineering
Linkedin boasts 930 million users. Stand out and attract more opportunities with a ChatGPT-optimized LinkedIn profile.
Tom Goldstein goes over how many GPUs it will take to run ChatGPT.
The development in the field of technology has enhanced over the years. With time, we get terms like Artificial Intelligence, machine learning, and deep learning in technology. We often confuse in these terms and define them similarly. But it is not a precise definition as these terms are different from each other. If you do not want to make this mistake again, then you must read out this article. Here we are going to discuss the difference in these three terms AI, ML, and Deep learning.
Curated list of top resources to learn about AI in finance.
Is AI capable of writing web scrapers or at least help write some? Is it capable of finding the right selectors by itself? We find out..
The road to building or fine-tuning an LLM for your company can be a complex one. Your team needs a guide to start.
In this blog post, we will focus on one of our AI subsets, machine learning, and estimate how much it costs to train, deploy, and maintain algorithms.
Leaders should adapt to AI's evolving role. Combining human intuition and AI can enhance decision-making. AI is a tool, not a replacement for humans.
Discover how Claude Desktop with MCP tools eliminated digital fragmentation, enabling deeper product thinking and transforming weeks of work into hours.
I often hear people talking about neural networks as something as a black-box that you don’t understand what it does or what they mean. Actually many people can’t understand what they mean by that. If you understand how back-propagation works, then how is it a black-box?
While Microsoft and Google spend billions, startups craft new, nimble, environmentally-friendly AI models.
Elon Musk has called for an immediate pause of at least 6 months in the training of AI systems more powerful than GPT-4.
AutoGPT is the latest AI agent generated by GPT-4, offering efficient capabilities for custom marketing, lead generation, and prompt creation.
Discover the best NotebookLM alternatives in 2025. Compare 6 AI-powered research and note-taking tools to boost productivity, learning, and workflow.
In NLP, Document-Term Matrix (DTM) is a matrix representation of the text corpus. The TF-IDF score is widely used to populate the DTM.
Learn about my experience with mentees from around the world and the mutual benefits of mentoring in fields like AI, Crypto, FinTech, and EdTech.
Most people would think I was crazy for starting 2020 as a college dropout (sorry mom!), but I wish I made this decision sooner.
However, as time has proven over and over again, humankind is unable to duplicate the same kind of AI that we see in the movies..yet.
Soon AI bots will create 99.9% of all content on the internet. This creates serious problems for free thinking and creativity. Can we solve these problems?
OpenxAI, the world’s first permissionless, peer-to-peer AI network, today announced its launch on Base
All about the Dojo Supercomputer, what it is, why it was created, how it works and what it will be used for
Using ChatGPT to create a custom portfolio website in record time! I discuss ChatGPT's strengths, weaknesses, and tip and tricks to use while coding.
Learn why ready-made AI tools are not well-suited for engineering drawings processing and how to actually use AI to extract data from technical drawings.
As an IT sourcing analyst with ValueCoders a leading offshore IT outsourcing firm, I have helped several startups, SMEs, and enterprises build their mobile apps.
Let’s face it — forgetting things sucks. It’s frustrating not to remember where you left your keys or to stumble over your words because you can’t recall the name of that colleague you just ran into at the grocery store. However, forgetfulness is core to the human condition, and in fact, we’re lucky that we’re able to do so.
Learn to add face recognition authentication to your web application
What do all recent super powerful image models like DALLE, Imagen, or Midjourney have in common? Other than their high computing costs, huge training time, and shared hype, they are all based on the same mechanism: diffusion.
Introduction
Learn how to leverage embeddings to have an OpenAI chatbot, built with React and Node.js, respond correctly to specific contextual prompts.
Future-proof your e-commerce store for ChatGPT’s new shopping features, by prioritizing tools like Reviews.Shop (for off-page) and Schema.org (for on-page).
As the world is moving towards a digital age, traditional retailers face existential threats from the likes of Amazon and Walmart. To level the playing field, offline retailers are also turning to artificial intelligence as shoppers take a multichannel approach to making purchases. From helping customers find the items through visual search to personalizing their entertainment experience through chatbots, AI is revolutionizing the retail industry in a number of ways. Major retailers like Starbucks and Lowe’s use AI to improve customer experience.
Performant machine learning models require high-quality data. And training your machine learning model is not a single, finite stage in your process. Even after you deploy it in a production environment, it’s likely you will need a steady stream of new training data to ensure your model’s predictive accuracy over time.
Machine Learning is an application of Artificial Intelligence. It allows software applications to become accurate in predicting outcomes. Machine Learning focuses on the development of computer programs, and the primary aim is to allow computers to learn automatically without human intervention.
An important part of the robot is its eyes and perception of the outside world. For this purpose, the Depth Camera is well suited.
An exhaustive guide to AI visibility tools written by someone who has tried all of them.
Looking for opportunities to apply marketing AI to your B2B or SME? In this article, we cover 7 marketing categories and 20+ tools to do the heavy lifting 🦾📈
Google released a list of free Intro to Generative AI courses. This article provides a review of the learning path, including cheat sheets and summaries.
Is the rise of vibe coding also the end of software engineering? How will vibeware change the nature of the software entrepreneur, and the meaning of work?
Machine learning, what a buzzword. I’m sure you all want to understand machine learning, and that’s what I’m going to teach in this article.
Karate Club is an unsupervised machine learning extension library for the NetworkX Python package. See the documentation here.
That’s the beauty of AI prompts: they can understand context and generate human responses that are sometimes too good to be true.
7 most innovative AI (and especially ChatGPT) powered low-code code tools.
Vibe coding lets AI generate code—but skips the skills that make developers indispensable. Learn why shortcuts can ruin careers in 2025 tech.
Do you want to make your loved one's life ultramodern? So, here are AI gift ideas some sort of high-tech equivalent in everyday life.
AI GTM strategy is shifting from SEO to AEO. Learn how creator-led trust and AI visibility drive growth in the era of answer engines.
Whether you’re a beginner looking for introductory articles or an intermediate looking for datasets or papers about new AI models, this list of machine learning resources has something for everyone interested in or working in data science. In this article, we will introduce guides, papers, tools and datasets for both computer vision and natural language processing.
The boundary between machine and humans was clear. But now the machine has become creative! Can self expression still be at the core of our humanity?
Learn how this algorithm can understand images and automatically remove the undesired object or person and save your future Instagram post!
For the first KDnuggets post on Hacker Noon, we bring you a lighter fare of very nerdy computer humor from the series of self-referential jokes started on Twitter earlier this week. Here are some of our favorites.
If you do understand all of the jokes, then you congratulate yourself on having excellent knowledge of Data Science and Machine Learning! If you have actually laughed at 2 or more jokes, then you have earned MS in Computer Humor! If you just smirked, you probably have a Ph.D. And I have a great joke about AGI, but it will be ready in 10 years.
Enjoy, and if you have more, add them in comments below!
Yann LeCun, @ylecun
Check out part one of this series for what the next five to fifteen years looks like in AI. In part two we get super sci-fi and see if our crystal ball can reach 50 years into the future.
AI-powered learning for software developers is here to stay. Here's how we're building the learning platform of the future at Educative.
This tutorial is the sixth one from a series of tutorials that would help you build an abstractive text summarizer using tensorflow , today we would build an abstractive text summarizer in tensorflow in an optimized way .
Comparison of Mask R-CNN and U-Net — instance and semantic segmentation algorithms and logic behind building a two-model car damage detection ML solution.
With ChatGPT's help, you can now make the most out of your SQL queries.
With Microsoft SQL Server 2022, object storage becomes a first class citizen through a technique called external tables.
Build production-ready LLM agents. Learn 15 principles for stability, control, and real-world reliability beyond fragile scripts and hacks.
Dopple.ai is a free AI chatbot that lets you interact with virtual characters based on real and fictional people.
In Reinforcement Learning (RL), agents are trained on a reward and punishment mechanism. The agent is rewarded for correct moves and punished for the wrong ones. In doing so, the agent tries to minimize wrong moves and maximize the right ones.
Much has been said about ChatGPTs ability to code but in my experience, ChatGPT is only as good a coder as the programmer guiding it to write the code.
Build a real-time video streaming pipeline with FFmpeg and MediaMTX. Learn to stream webcams to browsers using WebRTC with step-by-step tutorials.
Discover 7 AI tools that will save you so many hours.
AI is evolving fast, but security isn’t keeping up. Discover why zero-trust architecture is critical for safe, scalable AI agent deployment.
Explore the evolving landscape of education and AI with Marc Andreessen and Ben Horowitz. Discover why GenZ may find success beyond traditional college degrees.
Learn how to deploy deep learning models with Model Server.
AI-based audits are not yet perfect, but they may be the next step in smart contract auditing.
read this post carefully to learn how ChatGPT will help you improve and expand your knowledge rather than take your job!
In this article, we fine-tune a large language model to understand the plot of a Handel opera.
What is diffusion large language model LLM, and why it matters. In the context of Inception Labs releasing Mercury Coder.
With torchvision datasets, developers can train and test their machine learning models on a range of tasks, such as image classification and object detection.
Hugging Face offers solutions and tools for developers and researchers. This article looks at the Best Hugging Face Datasets for Building NLP Models.
Discover Grokipedia; Elon Musk's bold challenge to Wikipedia. Explore how this open-source knowledge repository could reshape the future of information and AI.
There are numerous ways that AI can help us in data scraping and data analysis. Check out these tools and methods!
Researchers created a simple collection of photos and transformed them into a 3-dimensional model.
Modern search Q&A explained: how knowledge graphs, DeepQA, and MRC turn messy web pages into direct, trustworthy answers.
Cursor AI is a new code editor that uses artificial intelligence to make coding easier for developers. It is based on Visual Studio Code.
This article presents a GitHub Copilot review and assesses its impact on enhancing development speed in real-life scenarios.
How to create a YouTube summary using Python and the OpenAI GPT model.
If you’re looking for basic knowledge about AI concepts, AI tutorials, or want to check out some interesting AI-powered games and tools, we’ve compiled a list of the best free Android apps for AI and machine learning. We’ve divided the list into the following four categories: chatbots, educational, games, and tools & services. From NLP to object recognition, numerous apps on this list apply a variety of machine learning processes.
Discover 5 top AI coding tools revolutionising software engineering. Enhance team efficiency, accelerate development, and stay competitive.
As generative AI tools like ChatGPT grow in popularity, the applications appear to be endless. Here are some of the most useful applications of generative AI.
In ChatGPT, you would have to write a prompt for variations of one content but in Bard you can get 3 different drafts in one place ready to use.
FLUX represents a groundbreaking achievement in open source txt2img technology, genuinely outperforming and producing superior quality images.
Intro to Lightbug 🔥🐝, a lightweight HTTP framework in pure Mojo that allows to build web services with simplicity of Python and performance of C++
Seeing ChatGPT in action has felt to me like the first time I saw a web browser, or I realized I could surf the Internet from the tiny screen of my Palm Treo.
As one of the most advanced AI models, ChatGPT offers the potential to transform the way we approach tasks in both professional and personal settings.
The future of gaming will use an AI-powered system that can study game plays, accuracy, and judge the ratio of time spent online with user proficiency
From AI researchers to industry experts, tune in to these podcasts and explore the latest developments in the fascinating world of artificial intelligence.
Use ChatGPT to effortlessly generate PlantUML code, saving time and enhancing the creation UML diagrams process
If you’re the type that wants straight answers to every query without going through several blog posts, then you should consider AI-chat search engines.
Replicating human interaction and behavior is what artificial intelligence has always been about. In recent times, the peak of technology has well and truly surpassed what was initially thought possible, with countless examples of the prolific nature of AI and other technologies solving problems around the world.
Hands-on example to achieve shorter prompts, better performance and save money on your API calls. All using synthetic data from GPT-4.
Going beyond AI avatars and generative art, Nufa is an AI-powered body image app that helps you view your body the way it can be with proper diet and exercise.
When you think of Artificial Intelligence, the first thing that comes to mind is either Robots or Machines with Brains or Matrix or Terminator or Ex Machina or any of the other amazing concepts having machines that can think. This is an appropriate but vague understanding of Artificial Intelligence. In this article we’ll see what A.I. really is and how the definition has changed in the past.
This AI can reconstruct, enhance and edit your images!
ChatGPT-5 combined with AGI and even video will truly change the way our schools, workplaces and lives in general operate.
Coordinate multiple AI agents and MCP servers (written in Java, .NET, Python and TypeScript) with LlamaIndex.TS and Azure AI Foundry.
Bigger. Better. Beefier. That's probably the best way to categorize the latest (and greatest!) version of ChatGPT: GPT-4.
Last year I shared DALL·E, an amazing model by OpenAI capable of generating images from a text input with incredible results. Now is time for his big brother, DALL·E 2. And you won’t believe the progress in a single year! DALL·E 2 is not only better at generating photorealistic images from text. The results are four times the resolution!
Publishing in 2025 isn’t just about writing, it’s about building a publishing system.
Content creators can use ChatGPT in 9 different ways to boost their productivity and efficiency. Learn more.
A look at using the open-source Cleanlab package to automatically boost the accuracy of LLMs with a few lines of code.
Explore the future with LK-99! Unravel its potential as a superconductor, shaping tech, energy, and transport. AI is increasing the acceleration, AGI is coming!
ai.com launches autonomous AI agents for consumers, founded by Crypto.com CEO Kris Marszalek, with a Super Bowl LX ad premiere on February 8, 2026.
The video industry is in the midst of a technological revolution, as the exploration and application of artificial intelligence, machine learning, and deep learning radically expand the possibilities for business practices.
In this comprehensive guide, we'll show you how to build a voice agent in Vapi that achieves an impressive ~465ms end-to-end latency.
Make your ChatGPT prompts 2X better!
The idea that machines could think occurred to the very first computer builders and programmers.
The best way to turn the majority of documents into structured data is to use a next generation of powerful, flexible templates that find data in a document
Claude 3.5 Sonnet artifacts are to structured output such as code generation, what vector retrieval is to rag. It is the search and retrieval system for structu
One-third of the total food produced is wasted according to the Food And Agriculture Association of the United Nations. It is approximately 1.3 billion tonnes and food scarcity is one of the major concerns globally. Isn’t it strange and funny?
A hands-on guide to neural network quantization: theory, PyTorch implementation, and practical tips for optimizing models for edge devices
Looking for sentiment analysis companies or sentiment annotation tools? If so, you’ve come to the right place. This guide will briefly explain what sentiment analysis is, and introduce companies that provide sentiment annotation tools and services.
Gato from DeepMind was just published! It is a single transformer that can play Atari games, caption images, chat with people, control a real robotic arm, and more! Indeed, it is trained once and uses the same weights to achieve all those tasks. And as per Deepmind, this is not only a transformer but also an agent. This is what happens when you mix Transformers with progress on multi-task reinforcement learning agents.
Boost AI Performance with Fine-Tuning
Learning how to find the optimal q-value can produce significant improvements in a ML-algorithm's ability to learn both in terms of speed and quality.
AI coding agents excel at building features but fail at production integrations. The issue isn't AI capability—it's lack of integration-specific infrastructure.
The arrival of truly intelligent, always-on, AI-native revenue engines is dismantling the way we’ve structured go-to-market motions for 20 years.
As much as there may be some positives to deepfake technology, the negatives easily overwhelm the positives in our growing society.
WELL3 is a pioneering force reshaping health and wellness through Decentralized Physical Infrastructure Network and integrated AI systems.
Advanced speech recognition systems like Whisper will forever change how we relate to computers and AI models. See the future in action with these new apps.
Product categorization, sometimes referred to as product classification, is a field of study within natural language processing (NLP). It is also one of the biggest challenges for ecommerce companies. With the advancement of AI technology, researchers have been applying machine learning to product categorization problems.
Eliminate your confusion between AI and ML, two different topics that are often confused for one another.
What I mean is that these AI tools, although very useful, don't do magic. But they can be good assistants to programmers.
The healthcare industry has been grappling with a severe shortage of personnel…
Why does AI always draw watches at 10:10? Explore the surprising link between human design, data bias, and AI creativity.
By the end of 2024, synthetic identities accounted for 85-95% of all fraud losses in financial services.
ChatGPT isn't the only thing taking over your newsfeed. Check out this syndicate.
It’s far more efficient to run multiple Claude instances simultaneously, spin up git worktrees, and tackle several tasks at once.
Manipulate Real Images With Text - An AI For Creative Artists! StyleCLIP Explained
Proof of Usefulness is a global hackathon powered by HackerNoon that rewards one thing and one thing only: usefulness. Win from $150k!
There were several artificial intelligence plagiarism tools out there. Now, the popular ChatGPT model from open.ai released their own.
How a new wave of AI voice models are turning text into emotionally rich, real-time performances. This is the future of voice: programmable and persuasive.
This article investigates how the July 2024 CrowdStrike crash exposed the fragility of automated AI‑driven security systems and their global fallout.
Think Web3 is just for crypto enthusiasts? These 5 blockchain and AI applications are already transforming industries. Shared by aelf, AI blockchain.
We've got a Cambrian explosion of new companies building a massive array of software to democratize AI for the rest of us. We created the AI Infrastructure All.
Real production systems require architecture, determinism, integration, and human interaction. Prompting harder does not produce those properties.
Miniswap, a Warhammer marketplace founded by Cambridge students, is betting on taste, curation, and community over AI automation. Learn how they raised $3.5M.
Anthropic's new weekly usage limits for Claude Code power users aim to curb excessive consumption, impacting all subscribers.
Unlock the power of AI with these 9 free tools! Boost productivity, improve decision-making, & enhance your personal life.
Transformer models have become the defacto standard for NLP tasks. As an example, I’m sure you’ve already seen the awesome GPT3 Transformer demos and articles detailing how much time and money it took to train.
Real use cases of using ChatGPT in the real yachting business. Bossting sales & building sales guide using AI.
Kateryna Korotieieva explores how product managers can build sustainable, AI-powered products by focusing on resilience, ethics, and long-term value.
Using ML to analyze and predict CLV offers more accurate, actionable insights by learning from behavioral data at scale.
Groq’s Deterministic Architecture is Rewriting the Physics of AI Inference. How Nvidia Learned to Stop Worrying and Acquired Groq
This comprehensive guide evaluates the top 8 speech-to-text APIs in 2026.
Human behaviour describes how people interact and in this article, we will look at the 8 Best Human Behaviour Datasets for Machine Learning.
LiteLLM — a package to simplify API calls across Azure, Anthropic, OpenAI, Cohere and Replicate.
In this article, I want to talk more about the broader influence of AI in product management tools, more than I’d like to go into chatbot-specific applications.
A search-powered personal assistant is a digital assistant that uses search engine technology to help users with various tasks. Here's how to make one.
According to Karl Pinto, AI’s most transformative contributions are arriving where there’s the least spotlight.
A guide for AI entrepreneurs on how to prepare a dataset for a machine learning project.
Explaining the elements that make prompt engineering work and its importance.
LLMs (like GPT) are really bad at following negative instructions. The post includes a demonstration, practice takeaways (prompt engineering), and some thought
GPT-3 was meant to understand and construct natural language. But as these tools prove, it's pretty good at programming languages, too.
Discover how Weblab Technology fine-tunes GPT assistants with OpenAI for powerful natural language processing.
We train an open-source LLM to distinguish between William Shakespeare and Anton Chekhov.
Dive into a hands-on comparison of Cursor, Windsurf, and Copilot with GPT-5, highlighting their strengths in greenfield and brownfield projects.
Part II of the series: use MCP and Solana AgentKit to build an AI Agent that can trade USD and EUR stablecoins.
We know there's a lot of unethical ways to use AI but at what point are we not even going to know AI was used?
Building software with Cursor is super fast, and you should definitely use it. However, there are some downsides.
Internet search is switching to AI's. Trying to manually keep track of what AI’s are saying about my brand got my head spinning, so I thought of a solution.
I told AI to Write Poems and Raps – Here are The Results of Human-AI collaboration.
!3 best hidden open-source libraries to make you an AI wizard
In this blog, I will be introducing you to Faceio’s face recognition authentication and I will be building a simple app to showcase the way to integrate it.
GEN-1 is able to take a video and apply a completely different style onto it, just like that…
The research and breakthroughs in embedding inversion attacks make it clear that embeddings are, in fact, reversible back into forms that are fully human readab
GenAI wrappers are printing millions. Learn from success stories, tackle objections, and find how to build your own AI-powered app—no coding skills required!
Is graph really the new star schema? What do graphs like to non-insiders, and what attracts them to the community, methodologies, applications, and innovation?
Enterprises will need to understand how they will use customer data and how it will get processed through AI models that are trained with the latest innovation.
Generative AI threatens journalism, education, and creativity by spreading misinformation, displacing jobs, and eroding quality.
We'll share our journey of creating a technical support chatbot designed to assist our front-line team by answering user questions.
Have you ever tuned in to a video or a TV show and the actors were completely inaudible, or the music was way too loud? Well, this problem, also called the cocktail party problem, may never happen again. Mitsubishi and Indiana University just published a new model as well as a new dataset tackling this task of identifying the right soundtrack. For example, if we take the same audio clip we just ran with the music way too loud, you can simply turn up or down the audio track you want to give more importance to the speech than the music.
What if we trained AI to complete equations instead of images of Cats?
Access to training data is one of the largest blockers for many machine learning projects. Luckily, for various different projects, we can use data augmentation to increase the size of our training data many times over.
The human race has come a long way in history. The recent technological advancements contribute to this progress, making lives easier for everyone. Robots, supercomputers and interactive applications are no longer science-fiction tropes. Data scientists and machine learning engineers are working on realistic machines with human-like intelligence. Artificial intelligence is an integral part of our everyday life. From our smartphones to the GPS navigation in our cars- life without AI seems impossible. Here are some ways that AI impacts our life;
Google A2A - a first look at another agent-agent protocol and compared to Anthropic’s MCP.
A practical guide to using machine learning in business, from defining problems and choosing models to deployment, monitoring, and delivering real value.
Nike and Tesla are embracing Web3 and blockchain. Find out how they leverage blockchain technology for enhanced innovation with Web3 & AI integration.
In this article, I’ll dive into OpenAI's latest offerings and analyze what they could mean for the future of ChatGPT wrappers like my own startup, Olympia.
Learn how integrating ChatGPT, Google Speech-to-Text, and Amazon Web Services Polly in VR, can create realistic and interactive conversations with AI avatars.
FBIO's key trial denied…
A deep dive into 5 early adopters of vector search- Pinterest, Spotify, eBay, Airbnb and Doordash- who have integrated AI into their applications.
Astra Nova CEO Faizy Ahmed says the key to using AI is as a co-pilot, not a replacement.
AI is on the rise. In some ways it was always inevitable. But ask any researcher who suffered through the 1990s in AI research and they might not agree. AI and neural networks in particular were considered a backwater for researchers for decades. If you wanted a dead end career go into neural nets. In the 1990s, one of the leading thinkers behind neural networks, Geoffrey Hinton, could barely get funding. Nobody came to his classes. He worked on his ideas in isolation.
CodeRabbit alternative for 2026: Kilo's Code Reviews combines AI code review with coding agents, deploy tools, and 500+ models in one unified platform.
AR and VR finally have their killer app: The beauty and fashion industry.
I experimented with 30 camera lenses so you don't have to. I put the lenses up against the "photo" prompt in MJ.
Examples of how DeepSeek R1 reasoning LLM "thinks", and instructions on how to run it locally with ollama.
We have about 50% of all money raised left. Enough to do another Mighty. And I’ll give it my all again because what else would I do anyway?
Research suggests that data scientists spend a whopping 80% of their time preprocessing data and only 20% on actually building machine learning models. With that in mind, it’s no wonder why the machine learning community was quick to embrace crowdsourcing for data labeling. Crowdsourcing helps break down large and complex machine learning problems into smaller and simpler tasks for a large distributed workforce.
The quest to understand consciousness and develop artificial general intelligence has long been a topic of study in the fields of computer- and neuroscience.
Learn how a discussion with ChatGPT turned into CassIO, an amazing library for Apache Cassandra users
Google Antigravity is changing the computing world. Use these 20 carefully curated prompts engineered for maximum customization for your use case.
Complete guide on how to run opensource AI models locally. From choosing the model suitable for your needs to selecting hardware.
"In a world where AI's impact on jobs is undeniable, this insightful exploration unveils how AI serves as both a catalyst and a weapon, transforming industries
An AI-powered Linux shell that can do what you say was made possible with OpenAI GPT-2 language model.
Why we cannot see any aliens out there.
Get an overview of TimeGPT, and learn how to boost any prediction using MindsDB plus AI models from Nixtla.
We spent the last year building the best VS Code extension for agentic engineering.A million downloads later, we’ve learned how important an E-2-E experience is
Explore time series analysis: from cross-validation, decomposition, transformation to advanced modeling with ARIMA, Neural Networks, and more.
A DIY approach you can use or extend to automate GPT for recursive project delivery.
Quantization shrinks 140GB LLMs to under 4GB, bringing enterprise AI to consumer GPUs. A deep dive into GPTQ, AWQ, GGUF, and beyond.
With YouPro, the new YouChat provides more accurate and precise answers for more complex responses. YouImagine’s new Standard Diffusion XL is a great improvemen
This story reveals what people are looking for by summarizing what they need after 100+ user interviews
The predictions for the future of tech jobs and the macro trends that will impact our collective experience
OpenAI's GPT-4 could impact 80% of US workers' jobs, but is the end for software engineers?
Use Membrane (Integration App) to build integrations to any app with AI.
How Telegram Mini-Apps Are Onboarding A New Generation Of Crypto Users
How to build a conversational Bot with the Blenderbot model, an Open Source Language Generation Model made by Facebook AI so that you can have your own Siri.
Google Antigravity is not just for coding. It is for your entire computer. Stop scrolling - everything you do on a computer has just been automated.
AI medical transcription converts doctor-patient conversations into accurate clinical notes, streamlining documentation for healthcare providers.
It Takes More than Thinking: Humans Put the Vibe into Vibe Coding. An article about software engineers in a post-AI world, Vibeware and embracing ourselves
GitHub Copilot is a tool that most of us likely know about.
Would you want your chatbot to start discussing Taylor Swift lyrics instead of providing tech support? Well.. that’s what our chatbot did. Here's why.
Inspired by living beings, reinforcement learning teaches machines (or agents) to gather positive rewards and avoid negative ones in their environment.
According to Stack Overflow's 2024 survey, 76% of developers are using or planning to use AI tools.
GPT Pilot is a dev tool that writes 95% of coding tasks.
Artificial intelligence is rapidly becoming an integral part of modern society. This article addresses growing concerns about what happens when AI malfunctions.
The experience turned out to be nearly 100% “vibe coding.” In just 12 minutes, I laid down the initial gameplay by simply instructing Cursor on my goals.
Learn what to do when an AI prompt fails—explore step-by-step fixes from prompt tweaks to model changes and fine-tuning in this practical guide.
Is AI generated content writing ruining the internet? And will artificial intelligence create content rank in Google? We look at the performance of AI content.
OpenClaw lets you run frontier AI models like Minimax M2.5 and GLM-5 100% locally on Mac M3 or DGX Spark — zero API costs, total privacy. Here's how.
New invest-tech company, insytz, says they can solve this lack of foresight and ensure history doesn’t repeat itself.
You will require coding skills if you want to work in the field of artificial intelligence (AI). How do you begin? and Which programming language to use?
RAG optimizes language model outputs by having them reference external knowledge bases before generating responses.
Hands on tutorial for hyperparameter optimization of a RandomForestClassifier for Heart Disease UCI dataset with Weights and Biases Sweeps.
Learn how to combine categorical features in your dataset to improve your machine learning model performance.
A review of Patrick Jackson's book Quantum Paranormal as well as his work and research on the topic of UFOs, haunted houses, and spherical UFOs.
OpenClaw is an open source AI assistant that runs on your machine. Learn how to install it, set it up, and use it for daily tasks.
Explore the world of Unity AI and learn how to design smart NPCs and enemy behaviors for your games.
The main constraint on AI-assisted development was not model capability but how context was structured and exposed.
How I made a video story from my short sci-fi novel with the help of AI.
MeMemes is a mobile app that uses AI to transform people into over 30 famous meme images.
Leading researchers like Karl Friston describe AI as "active inference" —creating computational statistical models that minimize prediction-error. The human brain operates much the same way, also learning from data. A common argument goes:
You think that GPT-4 is a game changer? Have a look at this because the Spatial Web is a World-Changer! Nothing less.
How much of your productive time is taken away by all those meaningless news, stories and activities? Especially if you are a high performing executive or professional, how productive would you be if you weren’t distracted? We lose a lot of time on the activities that seem to be crucially important, while they are not. Although social media and numerous web-based communication platforms have definitely made communication a much less bothersome task, it is simply mind boggling to realize just how much of our time is spent on social media.
We recently covered a model able to imitate someone’s voice called VALL-E. Let’s jump a step further in the creative direction with this new AI called MusicLM. MusicLM allows you to generate music from a text description.
Read this post for insight into how Google is reinventing search with AI through the Magi project.
GPT-4 Turbo: catch up on all the updates from OpenAI in this quick article!
All about new ChatGPT's updates from Open AI
5/21/2024: Top 5 stories on the HackerNoon homepage!
In late 2017, a Reddit user released a series of synthetic videos containing celebrity likenesses. Since then, deepfake technology has exploded in popularity as people speculate over its future applications. Concerns over the tech's potential for political disinformation and unauthorized pornographic content have led to the implementation of regulations surrounding its use. Simultaneously, innovators and deepfake software startups are scrambling to find ways we can use the tech to revolutionize commercial industries.
Embedding and LLM's needs to be tested and evaluated or hallucinations will happen. Experimentation and evaluation on custom data is a must - openai and genai
CAPTCHA was invented between 1997 and 2000. It was used to protect against spam requests received every day in the now-defunct AltaVista search engine.
In this article, I will demonstrate the use of AI-driven digital humans and deepfakes in various industries and media channels.
I will explain ChatGPT in five levels (a child, a teen, a college student, a grad student, and an expert).
The Future of AI: Embracing Change, Creating Opportunity.
In the right hands, tech can set us free—but it's in the wrong hands right now. So what can you do to prepare? Read this.
In this post, I will also use Github Copilot as a benchmark to infer what an "AI for coding" can do today…
What can actually be done using GPT-4?
A deep technical survey of the top ten best open-weight LLMs you can run locally on a Quad Nvidia DGX Spark cluster in 2026, multiple models running together.
This year, 30% of engineering leaders have figured out how to turn AI into a substantial competitive advantage. Have you?
How CMOs win CFO buy-in using incrementality, trust, AI, and capital allocation to drive margin expansion and revenue durability.
AI is transforming software - and security. Discover why it’s the best (and hardest) time to be an AppSec engineer.
A practical guide to Propensity Score Matching — learn how to estimate treatment effects without running a traditional A/B test.
Let's learn everything you need to know about MCP, A2A, AGP, ACP—the new AI protocols.
Donda Stem Player, LALAL.AI, Audioshake, Spleeter and more - how AI stem separation technology makes us creators.
Direct Indexing is leading the way as a passive investing vehicle.
Plask.ai is a free web app and service that can record you moving around using your webcam and convert it to an animated humanoid skeleton, which can be used to
Ocean Protocol is technology that allows data sharing in a safe, secure and transparent manner without any central intermediary. Using Ocean Protocol, data scientists and artificial intelligence researchers can unlock and analyze big data, while respecting data privacy.
With Chat2Query, you don’t need to be an SQL expert to extract insights from your data.
The introduction of Large Language Models (LLMs) like OpenAI's GPT series has revolutionized various industries, and DevOps is no exception. As organizations co
Me: I don't know much about football. What's your favorite football team? Bot: My favorite team is the seattle seahawks. Do you have any kids? I've got two daughters.
Me: I have a son, Timmy, he's 14. How old are your daughters? Bot: They're 7 and 8 . What do you like to do for fun? I love cooking.
Me: I like MMA and cooking as well. What recipes do you like? Bot: I love to cook french food. I also like to shop. … Me: What's a good place to buy clothes? Bot: ebay is a great place to start. It's free and you get to spend a lot of money.
Me: Haha so you like spending money? Bot: Yes, I love spending money. It makes me feel good to be able to spend my money.
GPT Pilot is a dev tool that increases developer’s productivity 20x by offloading 95% coding tasks from developer to LLM.
AI + Blockchain = Bright Future. However, how do we observe ethics and build responsibly as we unlock this powerful combo?
The Da Vinci code for the NFT art generation is called steganography. Artists must use new techniques for hiding their secrets inside their artworks.
Learn what's adversarial machine learning, how adversarial attacks work, and ways to defend them.
A blog about how prompts unlock the potential of AI - exploring the importance of prompt engineering, techniques to shape AI models
Build your first real AI agent with this simple guide for beginners—learn, code, and create smart tools that take action.
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Disclaimer
Visit the /Learn Repo to find the most read blog posts about any technology.
2026-04-26 02:00:46
Cargo and crates.io were developed in the rush leading up to the Rust 1.0 release to fill the needs for a tool to manage dependencies and a registry that people could use to share code. This rapid work resulted in these tools being connected with an API that initially didn't return the correct HTTP response status codes. After the Rust 1.0 release, Rust's stability guarantees around backward compatibility made this non-trivial to fix, as we wanted older versions of Cargo to continue working with the current crates.io API.
\ When an old version of Cargo receives a non-"200 OK" response, it displays the raw JSON body like this:
error: failed to get a 200 OK response, got 400
headers:
HTTP/1.1 400 Bad Request
Content-Type: application/json; charset=utf-8
Content-Length: 171
body:
{"errors":[{"detail":"missing or empty metadata fields: description, license. Please see https://doc.rust-lang.org/cargo/reference/manifest.html for how to upload metadata"}]}
This was improved in pull request #6771, which was released in Cargo 1.34 (mid-2019). Since then, Cargo has supported receiving 4xx and 5xx status codes too and extracts the error message from the JSON response, if available.
\ On 2024-03-04 we will switch the API from returning "200 OK" status codes for errors to the new 4xx/5xx behavior. Cargo 1.33 and below will keep working after this change, but will show the raw JSON body instead of a nicely formatted error message. We feel confident that this degraded error message display will not affect very many users. According to the crates.io request logs only very few requests are made by Cargo 1.33 and older versions.
\ This is the list of API endpoints that will be affected by this change:
GET /api/v1/cratesPUT /api/v1/crates/newPUT /api/v1/crates/:crate/:version/yankDELETE /api/v1/crates/:crate/:version/unyankGET /api/v1/crates/:crate/ownersPUT /api/v1/crates/:crate/ownersDELETE /api/v1/crates/:crate/owners\ All other endpoints have already been using regular HTTP status codes for some time.
\ If you are still using Cargo 1.33 or older, we recommend upgrading to a newer version to get the improved error messages and all the other nice things that the Cargo team has built since then.
Tobias Bieniek on behalf of the crates.io team
\ Also published here
\ Photo by Jonathan Kemper on Unsplash
2026-04-26 00:03:52
How are you, hacker?
🪐 What’s happening in tech today, April 25, 2026?
The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, we present you with these top quality stories. From STM32 Ethernet Explained to Is AI Really the New Compiler?, let’s dive right in.
By @quyhoang [ 3 Min read ] AI isn’t the new compiler many believe it to be. Learn where the analogy of AI as a compiler fails and why you should still care about the code Read More.
By @embeddednetworking [ 21 Min read ] Article talks about STM32 microcontrollers with a built-in Ethernet controller. That includes microcontrollers from F1, F2, F4, F7, H5, H7 series. Read More.
🧑💻 What happened in your world this week?
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We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it.See you on Planet Internet! With love, The HackerNoon Team ✌️
2026-04-25 23:03:23
In this guide, we will walk you through building a production-ready analytics admin dashboard shell using shadcn/ui, Next.js, and Base UI. You'll scaffold the full layout sidebar navigation, statistics widgets, sales charts, earnings reports, and a product data table using a single CLI command and a clean, component-driven architecture.
Admin dashboards are among the most requested UI blocks in web development and among the most underestimated.
On the surface, you need a sidebar, some charts, and a data table. But the moment you start building, the complexity compounds: responsive breakpoints, accessibility in dropdowns, collapsible nav states, consistent spacing, dark mode, and making sure the whole thing doesn't fall apart when real data flows in.
Most teams either spend weeks building from scratch or bolt together mismatched component libraries that fight each other in production. Neither is ideal.
This is exactly the problem that shadcn/ui was designed to address, and the Shadcn Dashboard ecosystem has extended that philosophy further with a set of composable, production-grade dashboard blocks built on both Radix UI and Base UI primitives.
In this guide, you'll install a complete analytics dashboard shell in minutes, then understand exactly how each piece fits together so you can customize it confidently.
By the end of this tutorial, you'll have a fully functional analytics admin dashboard shell that includes:
The entire layout is built with a 12-column CSS Grid system, scales across screen sizes, and follows shadcn/ui's composable pattern, meaning you own the code and can extend it as needed.
Before getting started, make sure you have:
npx create-next-app@latest)npx shadcn@latest init if you haven't already)npm, pnpm, yarn, or bun
If you need a refresher on setting up shadcn/ui from scratch, the official shadcn/ui docs are the best reference.
The dashboard-shell-01 block is available directly through the shadcn CLI. Run the appropriate command for your package manager:
pnpm:
pnpm dlx shadcn@latest add @shadcn-space/dashboard-shell-01
npm:
npx shadcn@latest add @shadcn-space/dashboard-shell-01
yarn:
yarn dlx shadcn@latest add @shadcn-space/dashboard-shell-01
bun:
bunx --bun shadcn@latest add @shadcn-space/dashboard-shell-01
This single command scaffolds the complete block into your project components, types, assets, and all. No manual copy-pasting of boilerplate.
Note: Getting started guides and official Shadcn CLI documentation page. Check there for version-specific instructions.
After installation, you'll see the following structure added to your project:
app/
dashboard-shell-01/
page.tsx
components/
shadcn-space/
blocks/
dashboard-shell-01/
app-sidebar.tsx
site-header.tsx
nav-main.tsx
statistics.tsx
sales-overview-chart.tsx
earning-report-chart.tsx
top-product-table.tsx
salesbycountrywidget.tsx
user-dropdown.tsx
notification-dropdown.tsx
assets/
logo/
logo.tsx
This is a clean, flat component structure. Each file has a single responsibility, making it easy to swap out, restyle, or replace individual pieces without affecting the rest of the dashboard.
The page entry point at app/dashboard-shell-01/page.tsx controls how everything works together. It imports all the dashboard blocks and composes them into a responsive 12-column grid:
import AppSidebar from "@/components/shadcn-space/blocks/dashboard-shell-01/app-sidebar";
import StatisticsBlock from "@/components/shadcn-space/blocks/dashboard-shell-01/statistics";
import SalesOverviewChart from "@/components/shadcn-space/blocks/dashboard-shell-01/sales-overview-chart";
import EarningReportChart from "@/components/shadcn-space/blocks/dashboard-shell-01/earning-report-chart";
import TopProductTable from "@/components/shadcn-space/blocks/dashboard-shell-01/top-product-table";
import SalesByCountryWidget from "@/components/shadcn-space/blocks/dashboard-shell-01/salesbycountrywidget";
export default function Page() {
return (
<AppSidebar>
<div className="grid grid-cols-12 gap-6 p-6 max-w-7xl mx-auto">
<div className="col-span-12">
<StatisticsBlock />
</div>
<div className="xl:col-span-8 col-span-12">
<SalesOverviewChart />
</div>
<div className="xl:col-span-4 col-span-12">
<EarningReportChart />
</div>
<div className="xl:col-span-8 col-span-12">
<TopProductTable />
</div>
<div className="xl:col-span-4 col-span-12">
<SalesByCountryWidget />
</div>
</div>
</AppSidebar>
);
}
Let's break down the layout decisions here.
AppSidebar as the layout wrapper. The sidebar is the outermost shell. It provides the persistent navigation structure and wraps all dashboard content. This is a common pattern - your sidebar owns the layout, and your content slots in as children.
Widgets stack on smaller screens and shift into a main + side layout on larger screens for a clean, structured dashboard.
max-w-7xl mx-auto. The content area is capped at 7xl (1280px) and centered. This prevents the layout from becoming uncomfortably wide on very large monitors.
app-sidebar.tsx - The Layout Shell
This is the most complex component in the shell. It renders the collapsible sidebar navigation and wraps the main content area. Under the hood, it uses Base UI primitives (not just Radix) for the sidebar panel, which gives you finer control over accessibility and animation behavior.
Key features to look for in this component:
SiteHeader at the top of the content areanav-main.tsx - Navigation Menu
This component renders the sidebar's navigation items. It's separated from app-sidebar.tsx intentionally keeping nav data separate from layout logic makes it easy to swap out your routes or add role-based navigation visibility without touching the sidebar shell.
In a real application, you'd feed this component your route definitions from a config file or API response.
site-header.tsx - Top Bar
The site header sits at the top of the main content area (not the sidebar). It typically includes:
NotificationDropdown - for user alertsUserDropdown - for profile actions like settings and logoutBoth dropdowns are separate components, keeping the header itself clean and easy to maintain.
statistics.tsx - KPI Widgets
The statistics block renders a row of key performance indicator (KPI) cards. These typically show metrics like total revenue, active users, orders, and conversion rate, the "at a glance" numbers that executives and product teams check first thing.
Each stats card is self-contained and accepts a value, label, trend indicator, and icon. You'll want to connect these to your real data layer (an API route, SWR hook, or React Query call) once you're out of the prototype phase.
sales-overview-chart.tsx - Time-Series Sales Chart
This component renders a line or bar chart showing sales trends over time, typically weekly or monthly. It takes up 8 columns on desktop, making it the dominant visual on the page.
The chart is built to accept time-series data arrays. Swap in your actual sales data from your backend, and the chart will reflect it automatically.
earning-report-chart.tsx - Revenue Breakdown
The earnings report chart takes up the remaining 4 columns next to the sales overview. It typically shows a donut or bar chart breaking down revenue by category, channel, or product line.
This component pairs naturally with the sales overview, one shows the trend, the other shows the composition.
top-product-table.tsx - Data Table
The top products table is a full-featured data table with sortable columns, product names, sales figures, revenue values, and status indicators. It uses shadcn/ui's Table primitives, which are built on accessible HTML <table> elements with clean styling applied on top.
For production use, wire this up to a paginated API endpoint and add TanStack Table for server-side sorting and filtering. The TanStack Table integration guide on HackerNoon is a great next read once you have this shell running.
salesbycountrywidget.tsx - Geographic Distribution
The final widget in the 4-column slot shows a breakdown of sales by country. This can be a ranked list with progress bars, a choropleth map, or a simple table, depending on your data volume and visual needs.
For smaller datasets, the ranked list with inline progress bars (which this component uses by default) is the most readable format.
Now that the shell is running, here are the most common customizations you'll want to make.
Open nav-main.tsx and update the navigation array with your actual routes:
const navItems = [
{ title: "Overview", href: "/dashboard", icon: LayoutDashboard },
{ title: "Analytics", href: "/dashboard/analytics", icon: BarChart3 },
{ title: "Orders", href: "/dashboard/orders", icon: ShoppingCart },
{ title: "Customers", href: "/dashboard/customers", icon: Users },
{ title: "Settings", href: "/dashboard/settings", icon: Settings },
];
Use Lucide React for icons, it's already included with shadcn/ui and has excellent tree-shaking support.
Each widget component accepts props or uses internal state with mock data. To connect real data, create a server component wrapper or use a data-fetching hook:
// Server component approach (Next.js)
import { getSalesOverview } from "@/lib/api/sales";
export default async function SalesOverviewWrapper() {
const data = await getSalesOverview();
return <SalesOverviewChart data={data} />;
}
For client-side data fetching, SWR or TanStack Query works cleanly with these components.
The dashboard shell respects shadcn/ui's CSS variable theming system. Update your globals.css to change the color palette:
:root {
--primary: 221.2 83.2% 53.3%;
--primary-foreground: 210 40% 98%;
/* ... other tokens */
}
Dark mode is supported out of the box via the dark class on the <html> element.
One thing worth highlighting: this dashboard shell is built on both Radix UI and Base UI primitives and specifically uses the Base UI version for key interactive components.
Base UI (from the MUI team) offers headless, unstyled components with a focus on accessibility and animation control. Compared to Radix alone, it gives you:
This matters for dashboards because dropdowns, popovers, tooltips, and modals are core to the UX, and accessibility in these patterns is frequently underinvested. Using Base UI primitives means you're starting from a solid foundation rather than fighting with aria-* attributes manually.
If you want to preview the complete, unmodified source code for the dashboard shell before or after installation, visit this dashboard shell page.
The page shows the full component code with syntax highlighting, making it easy to reference individual files without cloning your project.
Once your analytics dashboard shell is running with real data, here are the logical next extensions:
Add authentication. Wrap your dashboard routes with a session check using NextAuth.js or Clerk. The sidebar and header already have slots for user state - connect them to your auth provider.
Add a date range picker. Most analytics dashboards need temporal filtering. shadcn/ui ships a DateRangePicker component that integrates cleanly with the chart components here.
Add TanStack Table for the product table. The default table component is great for static or small datasets. For server-side pagination, sorting, and filtering, TanStack Table is the standard choice in the shadcn/ui ecosystem.
Add real-time updates. If your data changes frequently, consider Supabase Realtime, Pusher, or Server-Sent Events to push live updates to the statistics widgets without a full page refresh.
Dark mode toggle. Add a theme toggle button to the site header's action area. The next-themes library handles this in about 10 lines of code.
Building a production-grade analytics admin dashboard used to mean weeks of work assembling a sidebar, finding compatible chart libraries, wrestling with responsive grids, and handling accessibility edge cases in dropdowns and modals.
The dashboard-shell-01 block improves things significantly. One CLI command gives you a complete, composable shell built on shadcn/ui and Base UI primitives with all the structural decisions already made correctly.
The result is a dashboard you actually own (not a black-box library dependency) that you can read, understand, and extend confidently.
The full block library, including this dashboard shell and others, lives at Shadcn Space, worth bookmarking if you're regularly building UI-heavy React and Next.js applications.
