AI initiatives don’t fail because of bad models. They fail because objectives, data, and business processes aren’t clearly understood first. In this thought-leadership piece, Sesame Software CEO Rick Banister explains why AI should be treated as a tool, not a goal, and how examining data quality and workflows during the discovery phase often delivers more value than deploying AI itself.

AI is now part of every conversation. CIOs are being asked where AI fits, how fast it can be deployed, and what needs to happen first. But as with any new technology wave, not every problem is an AI problem.

Microsoft Unleashes AI-Powered Search Microsoft has transformed its Bing search engine and Edge browser by introducing an AI-powered experience featuring ChatGPT capabilities. The aim is to provide users with better search results, more complete answers, a new chat experience, and the ability to generate content.