IT

When an AI model does something it shouldn’t, who in your organization has the authority to stop it? If you can’t answer that question, you’re performing AI governance theater.

Pointing to the earlier waves of disruption such as the rise of the internet and cloud computing, Krish said concerns over job losses have surfaced with every major technological breakthrough, adding that “it’s wrong to look at it through the lens of job loss and it is more an opportunity to transform skill.”

AI will require continuous learning: Leaders need to embrace that uncomfortable reality and prioritize developing AI literacy.

Connectors can bridge the organizational gaps that often thwart success with data science projects. Here’s how to manage this new kind of data professional.