The Agentic Reckoning: Enterprise AI organizations have a runtime problem, not a model problem — and most are building the wrong solution

VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most ...
TMCnet

Anyscale Launches on Microsoft Azure as a Native Integration for Enterprises to Build Sovereign AI and Take Control of Variable API Costs

Anyscale is the AI compute platform built by the creators of Ray, the most widely adopted open-source framework for scaling Python and AI workloads. Anyscale powers AI at companies including Coinbase, ...
eWeek

Google AI Studio Cheat Sheet: Features, Pricing, and More

Google AI Studio lets users test Gemini models, build apps, generate media, and export code. Here’s what it does, costs, and where it falls short.
Tech Times

AI vs AI Cybersecurity: Sysdig Documents First LLM-Agent Intrusion in the Wild

AI vs AI cybersecurity arrived in documented form on May 10, when an LLM agent drove a four-pivot intrusion to database exfiltration in under an hour with no human direction. CrowdStrike data puts ...
CSOonline

DSPM buyer’s guide: Top 10 data security posture management tools

Data security posture management (DSPM) tools help security teams examine their entire data environment to find shadow data, reducing the risk of data loss. Tracking down sensitive data across both ...
Spiceworks on MSN

IT job watch: Machine learning engineer

Machine learning engineer is one of the most in-demand IT career categories right now. That reality is thanks to the rapid ...
Computer Weekly

Scattered data, cloud transfers creating challenges in enterprise AI

The physical limits of on-premise storage and compute capacity originally drove the enterprise shift to the cloud, where users have access to “practically infinite” resources, according to Chalan Aras ...