venturebeat
The consequential AI work that actually moves the needle for enterprises

Presented by OutSystems After two years of flashy AI demos, rushed agent prototypes, and breathless predictions, enterprise technology leaders are striking a more pragmatic tone in 2026. In a recent webinar hosted by OutSystems, a panel of software executives and enterprise practitioners made the case that the most consequential AI work happening now is focused on the practical matters of governance, orchestration, and iteration, along with integrating agents into the systems they've spent decades building.Enterprise leaders are increasingly focused on fundamentals. The priority is using new AI technologies to accelerate productivity, improve delivery, and produce measurable business results.Three elements shape this work:The move from AI agent prototypes to agentic systems that deliv [...]

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venturebeat
Wall Street is debating the AI buildout. Enterprises just answered: 86% say their GPUs run at half capacity or less

Enterprise companies are running AI agents ahead of the controls needed to manage them — and they deployed that way knowingly. That is the central finding from VentureBeat Research's June surve [...]

Match Score: 82.74

venturebeat
Enterprises lost Claude Fable 5 for a few weeks. New data shows two-thirds had already built their hedge

Two-thirds of enterprises have hedged their AI model strategy, and the past few weeks of controversy around Anthropic’s Claude Fable 5 model showed why that posture has gone mainstream. On June 12, [...]

Match Score: 61.86

venturebeat
Shared API keys expose AI agents at 69% of enterprises, new VentureBeat research finds

Share one API key across five AI agents, and a single compromised agent inherits the reach of all five. The attacker immediately benefits from the accumulated permissions of every workflow that the ke [...]

Match Score: 57.86

venturebeat
The Control Gap: Enterprise AI organizations have an ownership problem, not a technology problem — and most are governing it by hand

AI portfolios are expanding far faster than the ability to govern them across enterprises. Most organizations run a contested field of platforms, each claiming to be the “primary” AI layer; few co [...]

Match Score: 56.41

venturebeat
57% of enterprises have watched AI agents be confidently wrong. The fix is an agentic context layer, but who has one?

An enterprise AI agent answers with total confidence, but the number is wrong. Nobody catches it until someone traces it back to a stale metric definition or a document the retrieval system never pull [...]

Match Score: 50.33

venturebeat
Claude’s next enterprise battle is not models: it’s the agent control plane

New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI [...]

Match Score: 49.98

venturebeat
Anthropic launches Claude Marketplace, giving enterprises access to Claude-powered tools from Replit, GitLab, Harvey and more

San Francisco startup Anthropic continues to ship new AI products and services at a blistering pace, despite a messy ongoing dispute with the U.S. Department of War.Today, the company announced Claude [...]

Match Score: 46.56

venturebeat
FOMO is why enterprises pay for GPUs they don't use — and why prices keep climbing

Enterprises can't fix their GPU waste problem because the fix makes the problem worse. Releasing idle capacity would improve utilization, but the same shortage driving GPU prices up is exactly wh [...]

Match Score: 44.54

venturebeat
The AI governance mirage: Why 72% of enterprises don’t have the control and security they think they do

Decision makers at 72% of organizations claim to have two or more AI platforms that they identify as their "primary" layer, according to a survey of 40 enterprise companies conducted by Vent [...]

Match Score: 43.40