A fundamental tension is reshaping enterprise software investment, with veteran investors and AI evangelists offering starkly ...

AI isn’t failing because it’s immature. It’s failing because companies overestimate readiness, expect magic ROI, ignore data ...

AI’s biggest challenge is no longer capability, but turning powerful models into everyday workflows that deliver real ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Oct 13, 2025, 09:09am EDT Close-up Portrait of Software ...

AI governance software gives enterprises a structured way to understand how AI systems operate and where exposure accumulates across business functions. Rapid AI adoption has outpaced traditional ...

Government teams have dedicated the past year to evaluating AI applications, calculating return on investment, and separating ...

Central to delivering on the AI promise is clean, reliable, scalable data pipelines, which require a robust, AI-ready data foundation consisting of the right mixture of architecture, governance, and ...

Archie Mayani, GHX's chief product officer, helps to develop AI tools for healthcare facilities and their suppliers. She said that implementing customer feedback and refusing quick fixes are essential ...

Most embedded architects think of AI as a coding shortcut. But the real power isn’t in cranking out boilerplate code, it’s in transforming how we design systems. Imagine capturing key decisions in ...

Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

An AHA scientific statement explores how AI, mobile imaging, and telehealth support acute stroke triage and treatment decisions within virtual networks.