CIO David Burns opens his playbook for leveraging AI as an accelerator at the aviation giant and sheds light on how IT ...

Speed, cost and adoption made sense for older software. AI's value works differently. Here are six signals that show whether ...

For organizations that depend on the mainframe, adopting continuous analysis can help identify, reduce, and address risk.

Not many IT leaders fully trust the data and insights from their teams and systems due to gaps that undermine collaboration ...

Leaving a breadcrumb trail from the original context of the data you use for AI might let you trace a single bad prediction to the source.

AI isn't just another app in production. It behaves differently, and that means your operations team needs a new playbook.

How organizations evolve from using AI as a smarter search engine to using it as a collaborative partner, workflow orchestrator and eventually an autonomous operator.

What would customer service look like if an AI agent could recognize you, understand your preferences, change your flight, ...

A study of nearly 150,000 real-world agent actions found AI increasingly handling low-risk IT tasks while human analysts ...

What happens when an automated function improves across all metrics yet delivers worse service? It doesn’t if a clear-eyed ...

The missing role is not a brand-new role. It is a discipline that has existed for less than a decade, is still not clearly ...

Success in the AI era favors organizations that can operate differently because of AI, not just use AI more often.