September 30 | 11am – 12pm PT or 2pm – 3pm ET

You lead a function inside an organization that has committed publicly to AI. Delivering on that commitment is now your accountability. 

For some functions, that means figuring out where to start, understanding where AI fits without disrupting the work already underway. For others, the investment has already been made, the tools are live, and the return the business case committed to hasn’t shown up.  

Both situations point to the same underlying challenge: moving from an AI mandate to work that has genuinely changed, and being able to show it. 

Only a small fraction of life sciences organizations are scaling AI with measurable value. What separates the leaders making progress is rarely the tools or the budget. It is how deliberately they approach the two questions that matter most: where AI belongs in the function, and how to make sure the work changes when it arrives.  

This session walks through both, and how to tell whether you are getting there.  

You’ll leave with: 

• An honest read on where most AI initiatives are stalling in life sciences, and why 

• The specific constraints that make AI progress harder in the industry than in others 

• What the leaders making real progress are doing differently  

• Why AI adoption stalls after the tools go live, and what it takes to drive it  

• How to measure whether AI adoption is actually changing the work, and how to tell you’re getting there  

For VP and SVP functional leaders in life sciences carrying the accountability for their organization’s AI commitment.