With four in five organizations believing that new AI technology has the potential to positively impact customer experiences, businesses worldwide are, more than ever, scrambling to implement enterprise-level AI solutions. This is no easy task, however, and requires a pragmatic and systematic approach to data governance.

While innovation continues at breakneck speed and regulation remains ambiguous, preparing an organization for generative AI implementation, now more than ever, requires internal alignment and collaboration across the enterprise. In this, data specialists have the significant task of curating and standardizing vast amounts of data to build democratic structures that empower colleagues in diverse roles to effectively use AI.

In this session, we will be joined by Vishal Bhalla, Chief Human Experience Officer at Advocate Health, and Coleman Hilton, Director of Data Engineering and Analytics at Shriners Children’s, as they discuss best practices for data governance and AI implementation and explore the complicated relationship between innovation and regulation.

Attendees to this session will learn more about:

• Data governance as the foundation of generative AI implementation.
• The importance of effective internal collaboration and ensuring that emerging tech is seen as an ally, not competition.
• How to remain innovative and agile in a regulated environment.