VentureBeat May 16, 2022
Arthur Cole

Delivering AI solutions from the test bed to production environments will probably be the key focus for the enterprise throughout the next year or longer. But organizations should be cautious not to push AI too far too fast, despite the pressure to keep up with the competition.

This often leads to two key problems. First, it pushes inadequate solutions into environments where they are quickly overwhelmed and this leads to failure, disillusionment and mistrust from the user base that ultimately inhibits adoption. The AI industry is not helping anything with its stream of promises that their solutions offer complete digital autonomy and transformative experiences.

Small victories are still victories

In some circles, the idea of going smaller with AI...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Technology
Altman handpicked for Homeland Security's AI safety board
Royal Papworth CIO presents six actions for trusts’ AI journey
Hospitals Are Using AI To Help Manage Patient Messages to Physicians
ETH develops AI algorithm for drug discovery based on 3D protein surface
Space industry races to put AI in orbit

Share This Article