thenextweb
AI can recommend a deal. Governed execution decides whether it should happen

Every revenue leader now has AI somewhere in the deal cycle. It drafts the proposal, suggests the discount, recommends the next move, and does it all in seconds. The speed is real. But a recommendation is not a decision. When AI proposes a price or a deal structure, something still has to answer the harder […]<br /> This story continues at The Next Web [...]

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venturebeat
Moving past speculation: How deterministic CPUs deliver predictable AI performance

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and [...]

Match Score: 157.75

venturebeat
Agent context layers: Enterprises governing their AI data are catching twice as many bad answers as the ones who aren't

Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]

Match Score: 86.80

venturebeat
As enterprises confront AI agent sprawl, xpander wants them to own their own control and context layer

Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]

Match Score: 66.58

venturebeat
Enterprises with AI context layers report agent failures at more than twice the rate of those without one

A company builds a governed context layer specifically to stop its AI agents from confidently giving wrong answers. Once that layer is live, the company is more than twice as likely to report the fail [...]

Match Score: 63.66

venturebeat
Why Meta bought Manus — and what it means for your enterprise AI agent strategy

Facebook and Instagram parent company Meta’s agreement to acquire Manus for more than $2 billion — announced last night by both companies and reported in The Wall Street Journal — marks one of t [...]

Match Score: 62.87

venturebeat
OpenClaw 2.0 is here, ushering in the era of 'multiplayer' AI coding: What it means for enterprises

The viral fervor we saw earlier this year around OpenClaw, the open source AI harness that turns powerful language models into autonomous workers the user can message via their favorite channels (Tele [...]

Match Score: 62.15

venturebeat
The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context sourc [...]

Match Score: 60.25

venturebeat
Beyond Von Neumann: Toward a unified deterministic architecture

A cycle-accurate alternative to speculation — unifying scalar, vector and matrix computeFor more than half a century, computing has relied on the Von Neumann or Harvard model. Nearly every modern ch [...]

Match Score: 54.83

venturebeat
Cloudflare’s new Dynamic Workers ditch containers to run AI agent code 100x faster

Web infrastructure giant Cloudlflare is seeking to transform the way enterprises deploy AI agents with the open beta release of Dynamic Workers, a new lightweight, isolate-based sandboxing system that [...]

Match Score: 54.18