AI coding tools have enabled a flood of bad code that threatens to overwhelm many projects. Building new features is easier ...

Don't attempt holistic conversion. Module-by-module migration with clear quality gates prevents the catastrophic failure modes that plagued earlier AI conversion attempts.

SAM AI powered by Raynet One is now available Without complete and reliable data, Software Asset Management remains ...

Developer tooling provider Anaconda Inc. today announced that it has closed a Series C funding round worth more than $150 million. Insight Partners led the investment with participation from Mubadala ...

New software, developed by the University of Sheffield spin-out AENi aims to transform how the world's essential net-zero infrastructure is planned. The new digital platform will help the ...

CFOs need to carefully consider how AI tools have truly been incorporated into the solutions and tools offered by their software vendors, Tropic’s Justin Etkin said.

Meta CEO Mark Zuckerberg wants to increase the pace of artificial intelligence innovations at his company, so much so that he's personally recruiting about 50 staffers for a new brain trust, according ...

Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.

With AI spending forecast to reach $2.52 trillion in 2026, Gartner recommends focusing on building capacity, creating partnerships and avoiding random exploration.

Though agentic AI offers a lot of promise, poor performance, high costs, and unclear value could lead to projects being canceled without showing ROI, according to Gartner Research. More than 40% of ...