For enterprises seeking to thrive in the digital age, embracing AI is not just an option – it is a necessity. Most enterprises agree and have begun their AI adoption efforts in earnest, spawning multiple AI projects across business functions. Yet less than 20% of the projects are reaching fruition or in other words, able to complete the ‘idea to value’ (i2v)’ journey. The key to improving this success rate is to build trustable models, train users to become effective co-pilots, and put in place effective governance mechanisms to review the reliability of the models.  

This session will explore these themes and provide a framework to accelerate the testing and deployment of AI solutions for businesses in a responsible manner.