InformationWeek

The next phase of enterprise AI may be shaped less by model capabilities and more by the physical infrastructure capacity and operational discipline required to support it.

Quais Taraki, CTO at EnterpriseDB, and Rosalyn Curato, chief innovation officer at Vouched, share insights on retaking control from agents that go rogue.

Workplace equity depends on frontline employees having access to the same AI solutions developed for desk-based employees.

As AI spending grows, CIOs need ways to measure which AI tools, agents and models create waste and which create value.

Big, public LLMs still dominate the headlines, but CIOs are increasingly focused on where private AI models offer greater business value.

To deliver AI-driven outcomes, enterprises must carefully consider the build-versus-buy debate to ensure fully operational agentic AI.

In an interview at the recent Momentum AI conference, Ilan Twig said his CXO peers must embrace agentic technology. 'There's no other way.'

The Mobley v. Workday hiring bias case is becoming a fight over AI math, disparate impact and whether vendor audits can be trusted.

As chipmakers raise forecasts for CPU market growth and AI vendors increase their spending plans, enterprise CIOs may end up being the ones to absorb the cost.

LLM costs can rise quickly, as enterprises scale generative and agentic AI. CIOs need tighter controls over token usage, pricing volatility and prompt efficiency to keep AI spending under control.

By first establishing frameworks around data governance, workflow requirements and cost targets, CIOs can avoid common mistakes and set up their organizations for success when deploying vertical SaaS platforms.

Saurabh Gupta, CTO of GreyOrange, and Winston Astrachan, CTO of Phobio, offer their takes on organizations embracing AI, and what that means for IT teams.

CIOs at the recent Momentum AI conference explained why rushing is the enemy of initiatives to scale AI across the enterprise.

In McKinsey’s 'Rewired,' companies are told to rebuild how they operate. In practice, that work still lands with CIOs -- and that’s where it breaks down.

AI projects are becoming increasingly elusive. Will new controls help IT leaders regain the upper hand?