venturebeat
What ServiceNow and OpenAI signal for enterprises as AI moves from advice to execution

ServiceNow announced a multi-year partnership with OpenAI to bring GPT-5.2 into its AI Control Tower and Xanadu platform, reinforcing ServiceNow’s strategy to focus on enterprise workflows, guardrails, and orchestration rather than building frontier models itself.For enterprise buyers, the deal underscores a broader shift: general-purpose models are becoming interchangeable, while the platforms that control how they’re deployed and governed are where differentiation now lives.ServiceNow lets enterprises develop agents and applications, plug them into existing workflows, and manage orchestration and monitoring through its unified AI Control Tower.  The partnership does not mean ServiceNow will no longer use other models to power its services, said John Aisien, senior vice president of [...]

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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: 182.10

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: 160.03

venturebeat
Echelon's AI agents take aim at Accenture and Deloitte consulting models

Echelon, an artificial intelligence startup that automates enterprise software implementations, emerged from stealth mode today with $4.75 million in seed funding led by Bain Capital Ventures, targeti [...]

Match Score: 156.40

venturebeat
Agentic orchestration: Enterprise AI organizations know how to govern agents but still can't meter what they cost

Across 107 enterprises, agentic orchestration is not a choice of a single platform.The typical enterprise runs three orchestration platforms at once, and selects them for flexibility across models rat [...]

Match Score: 143.48

venturebeat
Agentic security: Enterprises enforce agent permissions two-thirds of the time — and isolate high-risk agents less than one in five

Across 116 enterprises, agents are in production and so are the incidents: A majority have already had a confirmed agent security event or a near-miss. Two-thirds of enterprises enforce scoped permiss [...]

Match Score: 142.56

venturebeat
Infrastructure and compute: Enterprises are buying AI compute for speed while flying blind on what it costs

Across 170 enterprises, AI infrastructure has moved decisively into production — two-thirds now run AI workloads live and three in 10 run them at scale — while the ability to account for what that [...]

Match Score: 132.60

venturebeat
ServiceNow resolves 90% of its own IT requests autonomously. Now it wants to do the same for any enterprise

ServiceNow is handling 90% of its own employee IT requests autonomously, resolving cases 99% faster than human agents. On Thursday it announced the product technology it wants to use to do the same fo [...]

Match Score: 128.13

venturebeat
Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents

Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms — Anthropic’s Claude leads by a wide margin — chosen for the gravity of the underlying model and judged [...]

Match Score: 115.39

venturebeat
The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs

Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model [...]

Match Score: 112.76