Stop pretending your AI is objective; every algorithm you deploy is a high-speed vessel for someone else's bias and political agenda.

More than half of enterprises say their AI projects have fallen short. Here’s what tech leaders must do differently.

Fresh from battling the US Department of Defense (DoD) over AI guardrails, Anthropic has returned this week with a new ...

The new architecture shows how quantum processors could work alongside classical HPC, creating hybrid environments to tackle ...

Many IT leaders are being asked to defend AI results they can’t explain, leading to some disappointment over vendor and ...

As AI reshapes enterprise strategy, boardrooms themselves must rethink how decisions are made. CIOs are now critical ...

Report: Amazon’s engineering team is working to figure out ways to minimize site and other operational glitches that ...

ComputerWorld’s Lucas Mearian sat with Karthik Sankaran, VP of technology for global sales transformation at PepsiCo, to get ...

Trading short-term stability for long-term capabilities, IT leaders are delaying infrastructure improvements and non-AI ...

The real drama of a merger happens "under the hood," where hidden tech messes and old security gaps can turn a great-looking deal into a total nightmare.

With accurate data in place, teams can identify emerging problems from clusters of incidents, accelerate root cause analysis, and prevent repeat failures.

Artificial intelligence and machine learning (AI/ML) are no longer emerging capabilities inside enterprise environments. In ...