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AI is scaling faster than organizations can control
AI is scaling faster than organizations can control

This piece explores why control, not adoption is becoming the defining challenge of the AI era, and how technology leaders can regain it.

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venturebeat
Train-to-Test scaling explained: How to optimize your end-to-end AI compute

<p>The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use infe [...]

Match Score: 72.90

venturebeat
Agentic orchestration: Enterprise AI organizations know how to govern agent

<p>Across 107 enterprises, agentic orchestration is not a choice of a single platform.</p><p>The typical enterprise runs three orchestration platforms at once, and selects them for f [...]

Match Score: 65.77

venturebeat
Agentic orchestration: Enterprise AI organizations have a deployment proble

<p>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 a [...]

Match Score: 59.86

venturebeat
The Control Gap: Enterprise AI organizations have an ownership problem, not

<p>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 laye [...]

Match Score: 56.85

venturebeat
New memory framework builds AI agents that can handle the real world's

<p>Researchers at the <a href="https://illinois.edu/"><u>University of Illinois Urbana-Champaign</u></a> and <a href="https://research.google/teams/clou [...]

Match Score: 55.86

venturebeat
Phi-4 proves that a 'data-first' SFT methodology is the new diffe

<p>AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. </p><p>The &l [...]

Match Score: 45.18

venturebeat
Agentic reliability and evaluations : Enterprises that got burned by a bad

<p>Across 108 enterprises, trust in automated agent evaluation rose sharply in July — and the failure rate it is supposed to predict did not move at all. The share of organizations that fully [...]

Match Score: 45.12

venturebeat
As enterprises confront AI agent sprawl, xpander wants them to own their ow

<p>Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.</p><p>Gartner estimates that the average [...]

Match Score: 43.95

venturebeat
Google’s new framework helps AI agents spend their compute and tool budge

<p>In a <a href="https://arxiv.org/abs/2511.17006"><u>new paper</u></a> that studies tool-use in large language model (LLM) agents, researchers at Google and UC [...]

Match Score: 43.67