Adobe today launched its most ambitious AI offensive to date, unveiling the Firefly AI Assistant — a new agentic creative tool that can orchestrate complex, multi-step workflows across the company’s entire Creative Cloud suite from a single conversational interface — alongside a raft of new video, image, and collaboration features designed to position the company …
Anthropic announced a new platform last week, Claude Managed Agents, aiming to cut out the more complex parts of AI agent deployment for enterprises and competes with existing orchestration frameworks. Claude Managed Agents is also an architectural shift: enterprises, already burdened with orchestrating an increasing number of agents, can now choose to embed the orchestration …
A viral post on X from veteran programmer and former Google engineer Steve Yegge set off a rhetorical firestorm this week, drawing sharp public rebuttals from some of Google’s most prominent AI leaders and reopening a sensitive question for the company: how deeply are its own engineers really using the latest generation of AI coding …
Microsoft today launched MAI-Image-2-Efficient, a lower-cost, higher-speed variant of its flagship text-to-image model that the company says delivers production-ready quality at nearly half the price. The release, available immediately in Microsoft Foundry and MAI Playground with no waitlist, marks the fastest turnaround yet from Microsoft’s in-house AI superintelligence team — and the clearest signal that …
Microsoft launches MAI-Image-2-Efficient, a cheaper and faster AI image model Read More »
Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation counts alongside academic papers, break single-turn RAG systems. New research from Databricks puts a number on that failure gap. The company’s AI research team tested a multi-step …
The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships. A survey of 200 senior site-reliability and DevOps leaders at large enterprises across the United States, United Kingdom, and European Union paints a stark picture of the hidden costs embedded …
43% of AI-generated code changes need debugging in production, survey finds Read More »
A growing number of developers and AI power users are taking to social media to accuse Anthropic of degrading the performance of Claude Opus 4.6 and Claude Code — intentionally or as an outcome of compute limits — arguing that the company’s flagship coding model feels less capable, less reliable and more wasteful with tokens …
Presented by Edgeverve Smart, semi‑autonomous AI agents handling complex, real‑time business work is a compelling vision. But moving from impressive pilots to production‑grade impact requires more than clever prompts or proof‑of‑concept demos. It takes clear goals, data‑driven workflows, and an enterprise platform that balances autonomy, governance, observability, and flexibility with hard guardrails from day one. …
Designing the agentic AI enterprise for measurable performance Read More »
Presented by AWS Autonomous agents are compressing software delivery timelines from weeks to days. The enterprises that scale agents safely will be the ones that build using spec-driven development. There’s a moment in every technology shift where the early adopters stop being outliers and start being the baseline. We’re at that moment in software development, …
Agentic coding at enterprise scale demands spec-driven development Read More »
Data drift happens when the statistical properties of a machine learning (ML) model’s input data change over time, eventually rendering its predictions less accurate. Cybersecurity professionals who rely on ML for tasks like malware detection and network threat analysis find that undetected data drift can create vulnerabilities. A model trained on old attack patterns may …
Five signs data drift is already undermining your security models Read More »