In an AI-hungry enterprise world where performance and power bills climb in tandem, Liqid is pushing back with smarter, more efficient infrastructure. The composable infrastructure leader just rolled out its most ambitious hardware-software portfolio update yet—designed to give IT teams both the agility and muscle to handle modern AI workloads at scale, all while cutting down on wasted watts and dollars.
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F5, the global leader in application and API delivery and security, today announced major advancements to its F5 AI Assistant, now equipped with iRules code generation, giving XOps teams a unified, natural language interface to automate operations across F5 BIG-IP, F5 NGINX One, and F5 Distributed Cloud Services.
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Fingerprint, a global leader in device intelligence and fraud prevention, today unveiled Smart Signals, a major enhancement to its platform designed to help enterprises identify malicious bots and autonomous AI agents—without blocking legitimate automation or disrupting user experience.
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Omega Healthcare, a leader in tech-enabled revenue cycle management (RCM), is doubling down on AI. In a significant expansion of its collaboration with Microsoft, the company has rolled out over 20 new generative and agentic AI solutions to transform the healthcare revenue cycle—cutting costs, improving accuracy, and accelerating operations.
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In the fast-growing digital lending markets of Africa, Asia, and Latin America, millions of people are taking out loans for the first time—often without fully understanding what they've signed up for. Now, fintech platform Yabx is using generative AI to fix that.
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The buzz around agentic AI is deafening—and for good reason. These systems, powered by large language models (LLMs) and autonomous agents, are reshaping enterprise computing. But there’s a catch: they're inherently unpredictable, and deploying them at scale without blowing up your SLAs has remained a developer’s nightmare.
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In the ever-evolving world of K-beauty, where speed and trend accuracy define success, the traditional intuition-driven approach is giving way to something far more scalable—and measurable. A quiet revolution is taking hold, powered by structured global market data and AI automation, and the results are staggering.
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The global market for artificial intelligence in radiology is on a sharp upward trajectory, projected to surge from $2.33 billion in 2024 to $4.24 billion by 2031, according to a recent report from Valuates. That’s a compound annual growth rate (CAGR) of 9%, driven by a mix of tech evolution, clinical necessity, and the relentless march of imaging volume worldwide.
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In an industry-first move, RegASK has launched an agentic AI architecture tailored specifically for the labyrinthine world of regulatory operations. If you're in life sciences, consumer goods, or any sector bound by complex compliance rules, this is not your average AI assistant.
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