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Snowflake offers help to users and builders of AI agents15:41 Snowflake is enhancing Snowflake Intelligence and Cortex Code to create a unified experience connecting enterprise systems, data sources, and AI models with Snowflake data. It’s part of the company’s vision to become the control plane for the agentic enterprise, enabling enterprises to align data, tools, and workflows with AI agents built on its platform. With these updates, the company said, Sno… Amazon’s $5B Anthropic bet is really about compute, not just cash13:54 Amazon on Monday said it was investing an additional $5 billion in Anthropic, a move that analysts say is aimed as much at easing the AI startup’s growing infrastructure bottlenecks as at deepening their strategic partnership. As part of the deal, Anthropic will lock in up to 5 gigawatts of compute capacity across AWS’s Trainium chips, including the new Trainium 3 and upcoming Trainium 4, the com… From the engine room to the bridge: What the modern leadership shift means for architects like me12:07 We all agree that the role of the technology leader is being rewritten in real time, and if you’re building the systems they depend on, you need to understand what they’re asking for now. Let me be honest about something. For most of my career, the conversations I had with CIOs followed a pretty predictable script. They’d describe a pain point, I’d map it to a solution and we’d talk timelines and… Addressing the challenges of unstructured data governance for AI11:13 Large enterprises in regulated industries, especially in data-rich financial services and insurance, have invested significantly in data governance programs. Other businesses have been catching up as part of their efforts to become more data-driven organizations . Data governance often starts with defining policies, classifying data sources, establishing data catalogs , and communicating non-nego… The cookbook for safe, powerful agents11:13 As companies move from experimenting with AI agents to deploying them in production, one pattern becomes clear: capability without control is a liability. Agents operate in long-running, stateful environments. They browse the web, read repositories, execute shell commands, call APIs and interact with internal systems. That power is transformative — and it meaningfully expands the attack surface .… Enterprises are rethinking Kubernetes11:13 For years, Kubernetes held an almost mythic place in enterprise IT. It was positioned as the control plane for the future, the standard abstraction for cloud-native systems, and the platform that would finally free enterprises from infrastructure lock-in. To be fair, some of that was true. Kubernetes brought discipline to container orchestration, enabled portable deployment models, and provided a… GitHub pauses new Copilot sign-ups as agentic AI strains infrastructure11:13 GitHub has paused new sign-ups for several individual Copilot plans and tightened usage limits, saying newer agentic coding workflows are consuming far more compute than its original pricing and service model was built to handle. The move is a reminder that as AI coding assistants grow more autonomous , vendors may have to balance developer demand against infrastructure cost and service reliabili… Hackers exploit Vercel’s trust in AI integration20.dubna Frontend cloud platform Vercel, the creator of Next.js and Turbo.js, has warned about a data breach after a compromised third-party AI application abused OAuth to access its internal systems. A Vercel employee used the third-party app, identified as Context.ai, which allowed the attackers to take over their Google Workspace account and access some environment variables that the company said were … Best practices for building agentic systems20.dubna Agentic AI has emerged as the software industry’s latest shiny thing . Beyond smarter chatbots, AI agents operate with increasing autonomy, making them poised to drive efficiency gains across enterprises. “Agentic refers to AI systems that can take actions on behalf of users, not just generate text or answer questions,” says Andrew McNamara , director of applied machine learning at Shopify . Agen… Making agents dull20.dubna I’ve been arguing for a while now that enterprise AI won’t really take off until it gets boring . Not boring in the sense of uninspired; no, I mean boring in the sense that enterprises can trust it, govern it, observe it, and hand it to rank-and-file employees without undue concern that things will go wrong. We have no shortage of over-funded startups clamoring to be the next big thing in AI, but… Oracle delivers semantic search without LLMs17.dubna Oracle says its new Trusted Answer Search can deliver reliable results at scale in the enterprise by scouring a governed set of approved documents using vector search instead of large language models (LLMs) and retrieval-augmented generation (RAG). Available for download or accessible through APIs, it works by having enterprises define a curated “search space” of approved reports, documents, or a… When cloud giants neglect resilience17.dubna In a recent article chronicling the history of Microsoft Azure and its intensifying woes , we see a narrative that has been building throughout the industry for years. As cloud computing evolved from a buzzword to the backbone of digital infrastructure, major providers like Microsoft, Amazon, and Google have had to make compromises. Their promises of near-perfect uptime shifted from an expectatio… Exciting Python features are on the way17.dubna Transformative new Python features are coming in Python 3.15 . In addition to lazy imports and an immutable frozendict type, the new Python release will deliver significant improvements to the native JIT compiler and introduce a more explicit agenda for how Python will support WebAssembly . Top picks for Python readers on InfoWorld Speed-boost your Python programs with the new lazy imports featur… Anthropic’s latest model is deliberately less powerful than Mythos (and that’s the point)17.dubna Anthropic has today released a new, improved Claude model, Opus 4.7 , but has deliberately built it to be less capable than the highly-anticipated Claude Mythos. Anthropic calls Opus 4.7 a “notable improvement” over Opus 4.6, offering advanced software engineering capabilities and improved visioning, memory, instruction-following, and financial analysis. However, the yet-to-be-released (and inadv… The two-pass compiler is back – this time, it’s fixing AI code generation16.dubna If you came up building software in the 1990s or early 2000s, you remember the visceral satisfaction of determinism. You wrote code. The compiler analyzed it, optimized it, and emitted precisely the machine instructions you expected. Same input, same output. Every single time. There was an engineering rigor to it that shaped how an entire generation of developers thought about building systems. T… |