EXECUTIVE INSIGHT
One thing about generative AI to remember is that when it was originally launched , or at least when public awareness came , it was really targeted at the consumer . It wasn ’ t for the enterprise . Everybody said , “ Hey , look at this fun thing , this ChatGPT thing , go play with it . Ask it silly questions , make it draw things .” And then I think people got enamoured with it and the art of what ’ s possible . And then next thing you know , enterprises , of course , had to go figure it out .
Now I ’ ve got about 12,000 people running around with ideas , and I have to figure out how to deliver generative AI or more AI capability to the enterprise in a way that ’ s governed and structured and secure , but doesn ’ t stifle curiosity and innovation .
Q . WHAT ARE THE MAIN CHALLENGES YOU ’ VE FACED IN IMPLEMENTING AI IN THE ENTERPRISE ?
» Data . I mean , even a company like ours – I think we ’ re a fairly enlightened company when it comes to awareness of data and the power of data , especially through analytics and AI . You would think that we would all have good hygiene around our data . And I think we have good intentions in many ways , and then sometimes you get down to execution , and you ’ re like , “ Oh wow , I really didn ’ t finish that up .” So the idea of data labels , making sure that the security of that data works its way through regardless of how it ’ s being applied , is probably the number
SAS Cary HQ building
22 October 2024