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.
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.
A December 2025 paper from Silicon Valley venture capital firm Foundation Capital, titled “AI’s trillion-dollar opportunity,” has generated significant excitement in the enterprise AI industry. The reason? It introduces the new concept of a “context graph,” a knowledge graph designed to capture a new AI paradigm known as “decision traces.” The context graph is emerging as a potentially powerful idea.
The context graph approach could capture the full context, reasoning, and causal relationships behind critical business decisions, making it a highly practical concept. As the paper notes, “Agents don’t simply need rules; they need access to the decision traces that show how rules were applied in the past, where exceptions were granted, how conflicts were resolved, who approved what, and which precedents actually govern reality.” This point is echoed by some of the commentary on the prediction, which points out that the most important knowledge comes from the data about the decisions that
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
AEON raised $8m led by YZi Labs to build an AI-native settlement layer, using its x402 protocol on BNB Chain to let agents pay 50m+ merchants via on-chain receipts. AEON has completed an $8 million pre-seed funding round to build…
AI's rapid advancement in finance reshapes job roles, emphasizing AI collaboration skills over traditional technical expertise, impacting market dynamics.
The post Citadel CEO Ken Griffin says AI agents complete complex finance tasks in days appeared first on Crypto Briefing.
Aptos Foundation commits $50M to Decibel DEX, Shelby storage, and zero-knowledge research as AI agents move closer to running money onchain. Block times at 28 milliseconds. That number arrived quietly on May 12. Aptos didn’t make a scene about it. The same week, Aptos on X confirmed that Aptos Foundation and Aptos Labs had committed […]
The post Aptos Just Rewired Its Entire Stack for AI – Here’s What $50M Buys appeared first on Live Bitcoin News.
