AI agents work fine, your workflow doesn’t

Google is launching AI-powered “information agents” that can monitor topics in the background and proactively alert users to updates and changes.

Google is sprucing up its Gemini models, revamping search, and enabling AI agents in everything. There are also some spiffy new smart glasses coming this fall.

Both tools generate hypotheses; one goes on to analyze some of the data.

Exclusive: Some employees will be moved to new teams focused on AI agents and cloud infrastructure As Meta races to recenter itself around artificial intelligence, the tech giant is mandating more than 7,000 workers must move to new teams, and it’s radically changing some employees’ jobs. The Guardian has also learned that some of these reassigned employees will shift to two new teams: one building AI cloud infrastructure and another that’s building an internal AI agent codenamed Hatch. Late last week, Meta employees received a notice that engineers had been “selected” for reassignment and would begin reporting to the cloud infrastructure and Hatch teams by the end of this week. Meta made a similar move last month when it reshuffled at least 1,000 engineers onto a new data labelling team called Applied AI, or AAI – at first giving them the option to volunteer, but later telling workers, “transfers aren’t optional.” Continue reading...

AI agents are evolving from answering questions to taking actions inside browsers. They can now open pages, click buttons, fill forms, extract data, and automate multi step workflows across websites. Moonshot AI’s Kimi WebBridge brings this capability to Chrome and Edge, allowing local AI agents to safely interact with real browser sessions. In this article, […] The post Kimi WebBridge: Hands-on Guide to Kimi’s Browser Extension for AI Agents  appeared first on Analytics Vidhya.

Coinbase CEO Brian Armstrong sees AI agent payments outgrowing humans as x402 records 75M monthly transactions and Base leads USDC use soon.

Redis' Iris could accelerate enterprise AI adoption by bridging data retrieval gaps, enhancing efficiency, and reducing infrastructure costs. The post Redis launches Iris, a context and memory platform for AI agents appeared first on Crypto Briefing.

For years, enterprise data conversations centered on platforms. Which warehouse? Which lakehouse? Which cloud? In my recent Forbes pieces, “Beyond The Enterprise Data Platform: Why Ecosystems Win” and “How ERP Data Fits Into The Enterprise Data Ecosystem,” I argued that the more important question is no longer which platform wins. It is how the enterprise designs the ecosystem around data, applications, workflows, and governance. That question is becoming more urgent because AI agents are starting to act on enterprise data, not just analyze it. They are recommending actions, triggering workflows, engaging customers, and influencing decisions at a speed where manual review cannot be the only control. That changes the role of data management. Clean, governed, and trusted data is no longer a back-office requirement. It determines whether artificial intelligence can operate within the business without creating more risk than value. That is the lens for Informatica World 2026. The event sho