Source: Fortune
Summary
Executives at Fortune Brainstorm Tech discussed the challenges of realizing return on investment from AI. Manoj Bohra, CTO at State Street, emphasized the need for “foundation work” such as data governance and workflow mapping before implementing AI projects. Bill Briggs, CTO at Deloitte, noted that many businesses fail to do the hard work of thinking through what they want to achieve strategically with AI, instead rushing to launch AI use cases at scale. Kathy Pham, head of AI at ReviveHealth, highlighted the importance of optimizing for the right things and not just automating existing processes.
Our Reading
The numbers tell one story.
Executives at Fortune Brainstorm Tech emphasized the need for first principles thinking when it comes to AI. This means doing the hard work of thinking through what they want to achieve strategically with AI, rather than just rushing to launch AI use cases at scale. They also highlighted the importance of optimizing for the right things and not just automating existing processes. However, the reality is that many businesses are still struggling to realize return on investment from AI, and it’s clear that there is still a lot of work to be done. The AI revolution is still in its early days, and it’s anyone’s guess what the future holds.
The announcement sounds familiar, but the reality is that many businesses are still struggling to realize return on investment from AI.
Author: Evan Null
