2025-09-18 05:59:59
The plan is built for asymmetric upside. Presale buyers can stake right away at 228% APY, turning idle capital into compounding exposure. That setup rewards committed holders and builds an engaged base from day one, helping Pepeto sidestep the same volatility that has pressured PEPE.
2025-09-18 05:43:39
As global data volumes explode, with projections of 175 zettabytes by 2025, the way organizations manage and analyze information must evolve. Thirumal Raju Pambala highlights that Artificial Intelligence (AI) integrated into analytics platforms marks a pivotal shift, especially within systems like SAP Analytics Cloud.
\ This transformation addresses the increasing demand for real-time analysis and precision in forecasting, offering a compelling response to the limitations of traditional business intelligence.
At the heart of this innovation lies a robust machine learning infrastructure, designed to recognize complex patterns in massive datasets. By incorporating both supervised and unsupervised algorithms, the system adapts and evolves, enabling smarter decision-making. Notably, it has demonstrated up to a 43% improvement in identifying significant patterns and a 31% reduction in false positives, crucial metrics in sectors where operational accuracy is non-negotiable.
Natural Language Processing (NLP) redefines how users interact with their data. Instead of rigid, code-based queries, users can ask complex questions in plain language. The system interprets these with near-human accuracy, 89% on average, and delivers answers in real time. This interface boosts productivity by shortening resolution times by nearly half and making insights accessible to non-technical teams.
Beyond interpretation and forecasting, automated intelligence takes the spotlight. Organizations using AI-enhanced tools have reported a 58% drop in data preparation time and a 41% increase in trend identification. These tools don’t just support analytics; they actively reveal insights that traditional systems miss. From spotting new market trends to flagging operational bottlenecks, automation is no longer about convenience; it’s a strategic advantage.
One of the most valuable innovations is AI-driven forecasting. Companies leveraging these tools have achieved a 30% gain in forecast accuracy and reduced financial risk exposure by 25%. Adaptive forecasting algorithms adjust in real time to external variables, helping businesses maintain optimal inventory levels and manage demand fluctuations without overstocking or under-resourcing.
Intelligent data analysis features also extend to operations. With predictive maintenance, businesses have cut unplanned downtimes by 40% and improved asset reliability by 20%. AI detects early warning signals that traditional systems overlook, turning reactive maintenance into a proactive strategy. This translates directly into cost savings and longer equipment life spans.
AI-enhanced performance management tools deliver real-time insights into operational efficiency. Organizations have seen a 15% improvement in equipment effectiveness and up to 35% risk reduction through predictive alerts and dynamic threshold adjustments. The ability to act swiftly on data-driven recommendations is turning performance monitoring into a cornerstone of organizational agility.
AI isn't just transforming data, it’s transforming teamwork. With collaborative analytics tools, teams share real-time dashboards, insights, and reports regardless of geography. This has led to a 30% increase in cross-functional productivity and faster project execution. Analytics is no longer confined to specialized departments; it’s democratized, secure, and synchronized across the enterprise.
To ensure these tools deliver on their promise, organizations must focus on data governance and infrastructure. Proper stewardship boosts AI model accuracy by 27% and speeds up data preparation. Equally critical is change management. Structured training and gradual feature rollouts have been shown to double user adoption rates and significantly ease transitions to new systems.
\ In conclusion, AI advancements in deep learning, AutoML, and NLP are reshaping analytics by enhancing accuracy, accessibility, and insights. These innovations empower even non-technical users to make data-driven decisions with confidence. As Thirumal Raju Pambala notes, embracing intelligent systems is vital for organizations aiming to lead in a fast-evolving, data-driven business environment.
2025-09-18 05:42:48
Today at Logitech G PLAY 2025 in Shanghai, Madrid, and on livestream, Logitech G unveiled one of the most significant upgrades to its portfolio to date. The array of products and experiences included major innovations across PC and console gaming, esports, sim racing, and streaming tools, along with partnerships with McLaren Racing, NVIDIA, and more.
Logitech G PLAY 2025 is a live-streamed global gaming event that brings together press, partners, creators, and fans to explore the future of gaming, fueled by breakthrough technology, inclusive design, and the power of community.
"Gaming is a passion shared by more than three billion people worldwide," said Ujesh Desai, vice president and general manager of Logitech G.
“It’s the unique level of craftsmanship and precision of the impactful innovations that make gaming more fun, competitive, and deeply personal,” Desai continued "which is what drives us to keep improving and make better products. Whether you’re competing, streaming, racing, questing, or just hanging with friends, our goal is to make every moment better and help you play your best.”
Today, the company introduced its most advanced lineup yet, designed for all players, from hardcore competitors to social streamers. These new products elevate the gaming experience, powered by innovation, collaboration, and enabling the future of play. Those products include:
Logitech G crafted two new designs to deliver unparalleled realism, control, and customization. This expansion of the modular Racing Series lineup is built to redefine what’s possible for racers of all skill levels. These products deliver precision, durability, personalization, compatibility, comfort, and sustainability, enhancing accessibility and performance for sim racers.
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Logitech G RS Pedals feature a 75kg load cell brake, adjustable positioning, and G HUB tuning. These pedals were designed to work in perfect harmony with the RS50; these racing-grade components offer a level of responsiveness that leaves no room for error, just performance.
In addition, Logitech G and McLaren Racing unveiled the McLaren Racing Collection, a premium lineup of sim racing gear inspired by McLaren Racing’s iconic motorsport legacy. The collection includes:
The Logitech G A50 X McLaren Racing Edition Wireless Headset delivers pro-grade audio, PLAYSYNC system switching, and a 48 kHz broadcast-quality mic for an immersive racing experience.
The Logitech G RS Formula Wheel: McLaren Racing Edition, engineered for precision and performance with every turn
The Playseat Formula Instinct: Logitech G McLaren Racing Edition, a cockpit-style racing chair that replicates the authentic seating position of a Formula 1 car. Designed in collaboration with McLaren Racing’s racing engineers and esports drivers.
These breakthroughs deliver championship-level realism, comfort, and control in a stylish design to sim racers worldwide.
Designed in collaboration with the world’s top esports PROs, Logitech G introduced two new gaming mice, including:
Streamlabs released the industry’s first AI Streaming Agent, powered by NVIDIA ACE and Audio2Face technology, a true game-changer for streamers. The agent offers real-time scene switching, gameplay commentary, and automated highlight clipping, all supported by a lifelike virtual avatar that can serve as co-host and producer on every stream. This technology is now open to developers and designers via the Streamlabs App Store and Overlay Library, unlocking new creative possibilities for interactive livestreams.
Logitech G announced G HUB updates, including a new Games feature that centralizes game management across platforms (Steam, Xbox Cloud Gaming, EPIC Games Store, etc.) and offers community presets and G technology integrations like LIGHTSYNC and TRUEFORCE.
Logitech G expanded the PC gaming category with two new additions to the G3 and G5 Series lineups:
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The Logitech G321 LIGHTSPEED Wireless Gaming Headset delivers high-performance audio, all-day comfort, and reliable wireless at an accessible price. Designed for everyday players, it features LIGHTSPEED wireless for ultra-low latency and high-performance audio drivers for immersive sound. Its plush memory foam headband, breathable ear cups, and flip-to-mute mic ensure comfort and clear communication. The G321 is ideal for players seeking a great-sounding, comfortable, and high-performing wireless headset.
The Logitech G515 RAPID TKL is Logitech G’s most advanced low-profile keyboard. At only 22mm thin, it features magnetic analog switches, rapid trigger, and KEYCONTROL technology for customizable actuation down to 0.1mm, offering lightning-fast responsiveness and pixel-perfect precision. This compact tenkeyless keyboard boasts a durable stainless steel top plate, double-shot PBT keycaps, and pre-lubed switches for a smooth typing experience, making it ideal for high-speed accuracy.
The new gear reflects Logitech G’s design philosophy of creating performance tools tailored to diverse playstyles, from casual explorers to modders and tinkerers.
Designed for the next generation of console players, the new Logitech G A20 X Wireless Gaming Headset delivers seamless multi-platform audio with Logitech G’s signature performance and comfort. Featuring PLAYSYNC AUDIO technology, A20 X allows players to effortlessly switch between two gaming consoles and mobile devices with the press of a button.
With a 48 kHz microphone, PRO-G audio drivers, LIGHTSYNC, Bluetooth connectivity, and onboard DSP with customizable audio profiles, the A20 X is built for immersive play across every platform.
Lightweight, breathable, and engineered with post-consumer recycled materials, it’s the perfect companion for long gaming sessions, whether you are grinding ranked or exploring open worlds.
Availability and Pricing All products announced at Logitech G PLAY 2025 will be available for preorder on logitechg.com, with retail availability rolling out starting today and continuing through the next two quarters. For full product specs, community programs, and press materials, visit: www.logitechg.com/logitechgplay About Logitech G Logitech G, a brand of Logitech, is a global leader dedicated to serving the needs of Gamers and Creators with award-winning hardware, software, and solutions.
Logitech G’s industry-leading products include keyboards, mice, headsets, mousepads, simulation products such as wheels and flight sticks, webcams, lights, and microphones, specialized furniture solutions, and the first AI-powered streaming assistant for creators; all made possible through innovative design, advanced technologies, and a deep passion for gaming and creator communities.
Logitech designs software-enabled hardware solutions that help businesses thrive and bring people together when working, creating, and gaming.
As the point of connection between people and the digital world, our mission is to extend human potential in work and play, in a way that is good for people and the planet.
Founded in 1981, Logitech International is a Swiss public company listed on the SIX Swiss Exchange (LOGN) and on the Nasdaq Global Select Market (LOGI). Find Logitech and its other brands, including Logitech G, at www.logitech.com or company blog Find Logitech G at logitechG.com, the company blog or @LogitechG. McLaren is a trademark of McLaren Services Limited.
Contact
Matthew Mortellaro
Logitech G
:::tip This story was published as a press release by Gamingwire under HackerNoon’s Business Blogging Program. Do Your Own Research before making any financial decision.
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2025-09-18 05:29:16
In the fashion business today, the sale no longer marks the end of the product's journey—it's usually merely the beginning of a more involved process. With soaring return rates, particularly with the rise of online shopping, clothing retailers are coming to understand that reverse logistics is not only an operational imperative but also a strategic imperative.
Reverse logistics is a term used to describe the movement of products from the customer back to the retailer, and potentially back into the marketplace through resale, refurbishment, or recycling. In retail apparel, this encompasses size-related return handling, damaged products, customer dissatisfaction, and merchandise that is no longer required.
Fashion retail has some of the highest return rates across the industry, fueled by factors such as size discrepancies, color or fit errors, and the increased use of try-before-you-buy options.
Returns through e-commerce can average 30–40%, placing incredible pressure on the logistics process. If not managed effectively, these returns can create excessive costs, obsolete inventory, and adverse environmental effects. Customers increasingly anticipate free, simple, and quick returns as part of shopping, so reverse logistics needs to be as smooth and responsive as the forward supply chain.
A sound reverse logistics system in fashion begins at the return point. Shop owners should offer transparent, online-enabled return processes like web portals, automated shipping labels, and in-store returns.
When a returned product is received, it has to be inspected, sorted, and directed through the proper channel: resale, repair, recycling, or ethical disposal, as the case may be. Technology is the star of the show here: RFID tags and barcodes track returned products in real-time; AI software reads return patterns to identify root causes; and predictive analytics help companies better predict return sizes in advance and improve inventory management.
One of the most promising fields in reverse logistics is recommerce, the resale of gently used apparel. For those that are not repairable or resellable, textile recycling offers a sustainable solution. Material perhaps reprocessed to become insulation, recycled into new clothing, or turned into raw material, with landfill savings and reduced environmental footprint.
Cost efficiency is yet another critical aspect. Reverse logistics is definitely more expensive, but with practical design, in some cases, it can also generate value.
Advanced analytics can prevent returns by flagging troubled SKUs or misleading product descriptions, thereby reducing unnecessary returns. Even donations can contribute to tax benefits and reinforce a good brand reputation. Retailers who view reverse logistics as an opportunity, rather than a problem, can unlock new sources of revenue and foster stronger customer loyalty.
Forward-looking, reverse logistics will only become more relevant as sustainability legislation becomes more stringent and consumers become increasingly environmentally conscious. Brands that invest in nimble, data-driven reverse logistics models will be best placed to transition, capture value, and drive the way toward circular fashion. In the end, retail winners will be those that don't just move product forward well, but can also take the trip back—intelligently, carefully, and responsibly.
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2025-09-18 05:17:30
Waltham, United States, September 17th, 2025/CyberNewsWire/--Syteca, a global cybersecurity provider, introduced the latest release of its platform, continuing the mission to help organizations reduce insider risks and ensure sensitive data protection.
Syteca 7.21 is a major update designed to enhance user privacy, simplify access management, provide seamless oversight, and improve the user experience.
With release 7.21, Syteca delivers a set of new capabilities, from masking sensitive information in real time to simplifying remote access. These new features help address the most pressing challenges faced by security teams worldwide.
https://www.youtube.com/embed/nMZzoOkz6OI
Syteca has become the first cybersecurity vendor to deliver real-time sensitive data masking. With this feature, the platform automatically detects and obscures confidential information (e.g., passwords, credit card numbers, or personal IDs) during live sessions and in recordings.
By blurring this data, Syteca helps prevent exposure of private information and supports compliance with data privacy regulations like the GDPR, HIPAA, and PCI DSS.
Users can now launch remote sessions (RDP for Windows or SSH for Linux/Unix) directly in web browsers (Chrome, Safari, and Edge). This means that IT teams don't bother with installing agents, pushing updates, or troubleshooting installation issues. They just provide fast and secure access for both employees and vendors.
The Syteca platform can now record continuous videos of user sessions, capturing every click and cursor movement.
Full-motion session recordings give security teams complete visibility into user activity, which can provide more detailed audit trails and speed up incident investigations. Every session is encrypted for security.
Beyond new capabilities, Syteca 7.21 introduces a redesigned user interface. The updated UI has a cleaner design while keeping familiar navigation in place. The lighter interface and reduced on-screen clutter help users find key information faster, thus streamlining daily security tasks.
"Release 7.21 gives organizations better visibility and control over their internal security,” says Oleg Shomonko, CEO of Syteca.
“Features like live data masking, full-motion session recordings, and browser-based access mean our clients can enhance the security of their assets and streamline compliance while reducing IT overhead. This update reflects our focus on solving real IT security challenges without adding complexity."
Users interested in trying Syteca's brand new capabilities can access the demo portal at syteca.com.
Syteca is a comprehensive cybersecurity platform that helps organizations worldwide protect their inside perimeter. The Syteca platform combines advanced user activity monitoring (UAM) and robust privileged access management (PAM) solutions that empower organizations to govern access, mitigate insider threats, prevent data breaches, and streamline IT compliance. Syteca serves over 1,500 customers across different industries.
Chief Marketing Officer
Helen Gamasenko
Syteca
:::tip This story was published as a press release by Cybernewswire under HackerNoon’s Business Blogging Program. Do Your Own Research before making any financial decision.
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2025-09-18 05:06:03
Nowadays, beautiful charts are no longer the big show; they are the pre-show. It is estimated that every day we create an amount of data that reaches 2.5 quintillion bytes (which is sufficient enough to help you spend your entire life binge-watching Netflix). Still, most data usually lies there, and no one ever does anything constructive with it.
These tools, such as Power BI and Tableau, have the capacity to make data look fantastic, and what happens when you add machine learning into the mix is that the visuals must do something beyond just looking fantastic-the visuals must justify why the prediction is vital and win the trust of the user.
Besides, more than 70 % of organizations report insufficient trust in analytics as an immense obstacle to AI and ML integration. It is not really only about big-time dashboards; it is about building experiences that people can comprehend and care about using.
The ML-driven dashboards are not these general future predictors; they are specific advisors that clearly advise and explain why the sales should grow by next month, and what specific activities to undertake to monetize on that statement. When predictive analytics is accompanied by explorable, visual formats, which end users can access using a variety of devices, the dashboards foster trust and engagement amongst the end-users, whether they access desktops, smartphones, or wearable smart devices.
The end goal is to turn moves of complex algorithms into open-book stories that motivate balanced decision-making with practical business outcomes, not just reports that are left untouched:
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Integrate Predictive Outputs with Contextual Storytelling: The ML predictions must also not be put in the form of isolated numbers. In Power BI or Tableau, matching the forecast with background, historical trends, benchmarks of the relevant sphere, along with relevant KPIs, will give the user an idea of the significance of the estimates. To strike an example, a sales forecast is much more convincing when related to the annual cycles, the past campaign influences, and the market climate in a unified visual flow.
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Apply Explainable AI (XAI) Principles: Another feature that can help build trust is explainability that is integrated into the user experience in dashboards. This may contain feature significance graphs, model confidence bands, and scenario-based what-if analysis planes. Varying use of SHAP value summaries in Tableau to customize Power BI visuals facilitates the visualization presentation of XAI into overall BI tools so that non-technical users can identify the rationale behind the model outputs.
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Design for Cross-Platform Consistency: There is a growing consumption of desktop, mobile, and embedded analytics experiences by users. The design uniformity (the same color schemes, symbolic signs, interaction patterns) allows for keeping the trust and familiarity. What that implies is that the ML insights need to be just as interpretable when looked at through a CEO's iPad dashboard as when looked at through a review tab of a sales manager or through a field engineer on his mobile app.
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Blend Human Expertise with ML Recommendations: Dashboards should enable human-in-the-loop interaction, where ML suggestions are supplemented with expert commentary. For instance, an HR attrition model in Power BI can present both its prediction scores and an HR analyst’s qualitative assessment. This blend reduces “black box” skepticism by showing that AI augments rather than replaces human judgment.
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Make Interactivity the Gateway to Deeper Insight: Instead of having fixed images, interactive drill-downs enable the readers to drill down to find out the reasons behind the predictions. In Tableau, a forecasted spike can be clicked and might provide the background variables, comparisons against related historical events, and even connections to follow-on datasets. This dynamic changes the meaning of dashboards from a passive consumption context to an active decision-making context.
It boils down to the fact that machine learning is not magic; it is math with a marketing issue. The problem is not making the algorithm work, but rather work; the real question is how to make people want to believe in it and be willing to use it.
Combining the attention-grabbing Space-Age looks of Power BI and Tableau with the geekier-than-ever predictions of ML and adding in a bit of explainability, consistency, and storytelling, you transform dashboards into “must-haves” as opposed to “mehs.”
Since the most powerful ML-based dashboards are not just pretty graphs, but the type of data experience that causes people to nod, smile, and say, “Okay… now I get it.”
That is when predictive power no longer becomes a boardroom buzz phrase, but one that can put you in a position to pay or collect the rent.
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