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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 …

Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents Read More »

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 …

Is Anthropic ‘nerfing’ Claude? Users increasingly report performance degradation as leaders push back Read More »

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 »

For the last 18 months, the CISO playbook for generative AI has been relatively simple: Control the browser. Security teams tightened cloud access security broker (CASB) policies, blocked or monitored traffic to well-known AI endpoints, and routed usage through sanctioned gateways. The operating model was clear: If sensitive data leaves the network for an external …

Your developers are already running AI locally: Why on-device inference is the CISO’s new blind spot Read More »

Four separate RSAC 2026 keynotes arrived at the same conclusion without coordinating. Microsoft’s Vasu Jakkal told attendees that zero trust must extend to AI. Cisco’s Jeetu Patel called for a shift from access control to action control, saying in an exclusive interview with VentureBeat that agents behave “more like teenagers, supremely intelligent, but with no …

AI agent credentials live in the same box as untrusted code. Two new architectures show where the blast radius actually stops. Read More »

When the One Big Beautiful Bill arrived as a 900-page unstructured document — with no standardized schema, no published IRS forms, and a hard shipping deadline — Intuit’s TurboTax team had a question: could AI compress a months-long implementation into days without sacrificing accuracy? What they built to do it is less a tax story …

Intuit compressed months of tax code implementation into hours — and built a workflow any regulated-industry team can adapt Read More »