The life sciences industry has mastered launching AI pilots. What it hasn't mastered is expanding them compliantly across the enterprise.
Moving past the pilot stage requires a new operational foundation: reliable data, governance built for autonomous AI, and clear AI ownership. In Pharma and MedTech, where HIPAA and the FDA's Part 11 apply, that foundation is what makes compliant AI possible at scale.
You'll hear how leaders across the industry are thinking about the biggest challenges, such as:
- Data Readiness & Silos: 73% say that when AI stalls, data access, quality, or preparation are to blame. But rather than waiting for perfect data before rolling out AI, industry leaders are fixing silos in Data 360 during the Agentforce rollout.
- Governance at Scale: 59% of organizations have AI taking autonomous action inside workflows, yet 57% have no formal governance policy. Running autonomous AI without well-defined guidelines creates direct regulatory risk.
- Measurable Business Value: Only 21% of leaders strongly agree AI has delivered measurable business value, with 38% measuring success primarily by time savings. High-performing teams break through by anchoring every initiative to business outcomes, not technology metrics.
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