AI transformation is a double-edged sword. Here’s how to avoid the risks
ZDNETA new year means a fresh focus on IT investments. Tech analyst Gartner predicts worldwide IT spending will hit $5.74 trillion in 2025, an increase of 9.3% from 2024. The analyst says explorations into generative AI (Gen AI) will help drive this rise.How to use ChatGPT to write: Resumes | Excel formulas | Essays | Cover letters Most of us will have dabbled with Gen AI by now. Whether polishing text, creating photos, or generating code, the technology’s capabilities can feel like magic.You got to prove your hypothesisHowever, James Fleming, CIO at the Francis Crick Institute, is one digital leader who isn’t letting his organization get carried away by the hype.He told ZDNET that using emerging technologies to power revolutionary scientific discoveries isn’t straightforward. This challenge means the rise of Gen AI has not led to a major shift in working methods at his world-leading research organization.Also: Your AI transformation depends on these 5 business tactics”Doing scientific AI, as opposed to creating publicly available large language models, is quite a different discipline. You’re operating in a tightly bounded scientific world where you’ve got to prove your hypothesis,” he said.”It’s not good enough to say that you’ve thrown a model out there that’s almost right. Most of the time, it’s got to be exactly right under certain conditions. And you’ve got to demonstrate that you’re basing your work on a fundamental understanding.” More