Presented by OutSystems After two years of flashy AI demos, rushed agent prototypes, and breathless predictions, enterprise technology leaders are striking a more pragmatic tone in 2026. In a recent webinar hosted by OutSystems, a panel of software executives and enterprise practitioners made the case that the most consequential AI work happening now is focused on the practical matters of governance, orchestration, and iteration, along with integrating agents into the... Read more ›
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As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache bottleneck."Every word a model processes must be stored as a high-dimensional vector in high-speed memory. For long-form tasks, this "digital cheat sheet" swells rapidly, devouring the graphics processing unit (GPU) video random access memory (VRAM) system used during inference, and slowing the... Read more ›
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Enterprise data teams moving agentic AI into production are hitting a consistent failure point at the data tier. Agents built across a vector store, a relational database, a graph store and a lakehouse require sync pipelines to keep context current. Under production load, that context goes stale. Oracle, whose database infrastructure runs the transaction systems of 97% of Fortune Global 100 companies by the company's own count, is now making... Read more ›
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Standard RAG pipelines break when enterprises try to use them for long-term, multi-session LLM agent deployments. This is a critical limitation as demand for persistent AI assistants grows.xMemory, a new technique developed by researchers at King’s College London and The Alan Turing Institute, solves this by organizing conversations into a searchable hierarchy of semantic themes.Experiments show that xMemory improves answer quality and long-range reasoning across various LLMs while cutting inference... Read more ›
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OpenAI is shuttering Sora, its stand-alone AI video generation app and social network, and the availability for developers to access the Sora 2 video model family through its application programming interface (API) to rely on it for their own products or video generation pipelines.The announcement came abruptly this afternoon with OpenAI posting a message on X and not giving an exact shutdown date for the services, instead promising "timelines for... Read more ›
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Anthropic on Monday launched the most ambitious consumer AI agent to date, giving its Claude chatbot the ability to directly control a user's Mac — clicking buttons, opening applications, typing into fields, and navigating software on the user's behalf while they step away from their desk.The update, available immediately as a research preview for paying subscribers, transforms Claude from a conversational assistant into something closer to a remote digital operator.... Read more ›
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Web infrastructure giant Cloudflare is seeking to transform the way enterprises deploy AI agents with the open beta release of Dynamic Workers, a new lightweight, isolate-based sandboxing system that it says starts in milliseconds, uses only a few megabytes of memory, and can run on the same machine — even the same thread — as the request that created it. Compared with traditional Linux containers, the company says Dynamic Workers... Read more ›
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Web infrastructure giant Cloudlflare is seeking to transform the way enterprises deploy AI agents with the open beta release of Dynamic Workers, a new lightweight, isolate-based sandboxing system that it says starts in milliseconds, uses only a few megabytes of memory, and can run on the same machine — even the same thread — as the request that created it. Compared with traditional Linux containers, the company says that makes... Read more ›
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Getting AI agents to perform reliably in production — not just in demos — is turning out to be harder than enterprises anticipated. Fragmented data, unclear workflows, and runaway escalation rates are slowing deployments across industries.“The technology itself often works well in demonstrations,” said Sanchit Vir Gogia, chief analyst with Greyhound Research. “The challenge begins when it is asked to operate inside the complexity of a real organization.” Burley Kawasaki,... Read more ›
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Engineers building browser agents today face a choice between closed APIs they cannot inspect and open-weight frameworks with no trained model underneath them. Ai2 is now offering a third option.The Seattle-based nonprofit behind the open-source OLMo language models and Molmo vision-language family today is releasing MolmoWeb, an open-weight visual web agent available in 4 billion and 8 billion parameter sizes. Until now, no open-weight visual web agent shipped with the... Read more ›
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Presented by SolidigmLiquid cooling is rewriting the rules of AI infrastructure, but most deployments have not fully crossed the line. GPUs and CPUs have moved to liquid cooling, while storage has depended on airflow, creating an operationally inefficient hybrid architecture.What appears to be a pragmatic transition strategy is, in practice, a structural liability. “A hybrid cooling approach is an operationally inefficient situation,” explains Hardeep Singh, thermal-mechanical hardware team manager at... Read more ›
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ByteDance, the Chinese tech giant behind TikTok, last month released what may be one of the most ambitious open-source AI agent frameworks to date: DeerFlow 2.0. It's now going viral across the machine learning community on social media. But is it safe and ready for enterprise use?This is a so-called "SuperAgent harness" that orchestrates multiple AI sub-agents to autonomously complete complex, multi-hour tasks. Best of all: it is available under... Read more ›
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The Innovation Showcase is back at Transform 2026: The Orchestration of Enterprise Agentic AI at Scale, taking place July 14 and 15 in Menlo Park.This year, we are moving beyond generative AI to autonomous agents, focusing on enterprise agentic orchestration, LLM observability and evaluation (LLMOps), RAG infrastructure, inference platforms and optimization, and agentic AI security and identity.We’re on the hunt for the 10 most innovative autonomous agent technologies poised to... Read more ›
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Not long ago, the idea of being a “generalist” in the workplace had a mixed reputation. The stereotype was the “jack of all trades” who could dabble in many disciplines but was a “master of none.” And for years, that was more or less true. Most people simply didn’t have access to the expertise required to do highly cross-functional work. If you needed a new graphic, you waited for a... Read more ›
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Getting AI agents to perform reliably in production — not just in demos — is turning out to be harder than enterprises anticipated. Fragmented data, unclear workflows, and runaway escalation rates are slowing deployments across industries.“The technology itself often works well in demonstrations,” said Sanchit Vir Gogia, chief analyst with Greyhound Research. “The challenge begins when it is asked to operate inside the complexity of a real organization.” Burley Kawasaki,... Read more ›
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Look, we've spent the last 18 months building production AI systems, and we'll tell you what keeps us up at night — and it's not whether the model can answer questions. That's table stakes now. What haunts us is the mental image of an agent autonomously approving a six-figure vendor contract at 2 a.m. because someone typo'd a config file.We've moved past the era of "ChatGPT wrappers" (thank God), but... Read more ›
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The prevailing assumption in AI development has been straightforward: larger models trained on more data produce better results. Nvidia's latest release directly challenges that size assumption — and the training recipe behind it may matter more to enterprise AI teams than the model itself. The open-weight model's Cascade RL post-training pipeline, detailed in Nvidia's technical report, offers a reproducible blueprint for enterprise teams building domain-specific reasoning systems without training from... Read more ›
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The AI image generation market has had an uncontested leader for months. Google's Nano Banana family of models has set the standard for quality, speed, and commercial adoption, while competitors from OpenAI to Midjourney have jockeyed for second place. That hierarchy shifted on Sunday when Luma AI, a startup better known for its Dream Machine video generation tool, publicly released Uni-1 — a model that doesn't just compete with Google... Read more ›
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Presented by Tulsa Innovation LabsAs the global energy system evolves, companies are racing to adopt technologies that can deliver real-world solutions, especially in hard-to-abate industries. Oklahoma, long known as the oil capital of the world, is a center for energy innovation, with Rose Rock Bridge at the forefront.A non-profit based in Tulsa, Rose Rock Bridge is a pilot deployment studio that connects early-stage energy startups with corporate energy partners, non-dilutive... Read more ›
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The $29.3 billion AI coding tool just got caught with its provenance showing. When Cursor launched Composer 2 last week — calling it "frontier-level coding intelligence" — it presented the model as evidence that the company is a serious AI research lab, not just a forked integrated development environment (IDE) wrapping someone else's foundation model. What the announcement omitted was that Composer 2 was built on top of Kimi K2.5,... Read more ›
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26.07.2026 03:36
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