Swillklitch/iStock/Getty Images Plus via Getty Images
Follow ZDNET: Add us as a preferred source on Google.
ZDNET's key takeaways
Successful AI projects are built on strong foundations.
Find the value, measure it, and discuss aims with your peers.
Take an iterative approach to build confidence and deliver results.
Turning what seems like a good idea for an AI system into a practical service is proving to be a tough challenge for many professionals.
Research suggests most AI projects get stuck at the starting blocks, and even the initiatives that progress down the track don't necessarily deliver great results.
Also: Dreading AI job cuts? 5 ways to future-proof your career - before it's too late
Paul Neville, director of digital, data, and technology at The Pensions Regulator (TPR) in the UK, is eager to ensure his agency turns AI into a competitive advantage. Here, he shares his five best-practice lessons from exploiting AI with ZDNET.
... continue reading