Successful AI transformation is about strategic alignment, workforce evolution and comprehensive risk management.

Executives have poured billions into artificial intelligence, only to discover that most of those projects never make it past the pilot stage or fail to deliver meaningful returns. A recent wave of ...

In fact, some of the most significant cost savings come from automating back-office workflows, such as invoice processing, ...

The director of Clair Obscur: Expedition 33 has explained why the development team will not use artificial intelligence in ...

After years of experimentation, brokers and carriers are being forced to answer the hardest question yet: where is the return ...

The trend toward the software-defined vehicle is undisputed. But how fast will this development unfold? The answer may ...

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.

Generative AI projects will move from pilot phase to production for many companies this year, which means the workforce will be affected in ways never before imagined, says Sarah Hoffman, director of ...

Artificial intelligence is powerful, but are businesses using it the wrong way? In this episode of Today in Tech, host Keith Shaw sits down with Alan Trefler, Founder and CEO of Pega, to discuss why ...

Could generative AI be just a minor revolution? On a recent episode of the TBPN podcast, Jordi Hays asked his cohost John Coogan whether his life would really be that much worse if he couldn’t access ...

To make cloud or AI projects successful and complete them on time, you need a clear understanding of business goals and technology capabilities, and that understanding needs to be kept current and ...

As entry-level tech hiring slows, one CEO warns avoiding AI skills would be like “taking crazy pills”—and says Gen Z must ...