IT Leadership

88% of AI pilots fail to reach production — but that’s not all on IT

Unclear objectives, insufficient data readiness, and a lack of in-house expertise are sinking many AI proofs of concept. So too are zealous POC greenlighting and misguided pressure from the top.

QueerTech empowers queer technologists to thrive in tech

QueerTech brings together LGBTQ+ technologists to foster community, gain confidence in professional and leadership skills, and build networks within the tech community.

Chart Industries turns to NaaS to solve multicloud merger challenge

After acquiring UK-based Howden, the US gas liquefaction company turned to networking-as-a-service to interconnect its expanded global-site footprint’s reliance on multiple clouds.

Why CDOs should prioritize ESG in data strategy

Chief data officers: ESG data's not a side quest. Your data's green footprint — or lack thereof — defines your future. Lead now, or get left behind.

5 top business use cases for AI agents

5 top business use cases for AI agents

AI agents are poised to transform the enterprise landscape, from automating mundane tasks to driving customer service and innovation. But having strong guardrails in place will be key to success.

What’s driving the global common data capability at RGA

CIO Mark Brooks, his team, and peers are avoiding FOMO AI, and investing in a high-value data platform for the $19 billion life and health reinsurance provider.

How automation forges a sense of community and purpose at 6sense

Bryan Wise, CIO of San Francisco-based software company 6sense, sat with CIO.com’s Lee Rennick at the CIO 100 Symposium and Awards to discuss the motivation behind the company’s award winning Automation Domination project to deliver proce

9 key metrics for IT success

IT departments are swimming in metrics meant to measure their effectiveness, but this compact collection of essential KPIs provides a true foundation for measuring IT success.

11 surefire ways to fail with AI

From downplaying data management to underestimating the importance of measuring outcomes, too many AI projects suffer from key strategic oversights and mistakes.

5 ways for CIOs to deal with AI proliferation

To successfully contend with AI’s expansion and acceleration, CIOs need to foster a culture of responsible innovation across the enterprise.