Trinity Webinar
AI Readiness in Life Sciences:
How Do You Measure Up?
September 1, 2026 | 2:00–2:45 PM ET
Additional sessions for EU and APAC
Meet Our Trinity Experts
Life sciences organizations are moving beyond isolated AI pilots toward enterprise-wide initiatives that span commercial, medical, data, and field operations. Yet many teams are investing in AI without a clear understanding of their readiness, governance requirements, strategic priorities, or how their progress compares to peers. This webinar will explore practical approaches to assessing AI readiness, benchmarking your organization’s capabilities against industry peers, and identifying priorities for the next 12-18 months.
Who this webinar is for
Enterprise data and AI leaders, including IT owners of commercial data and platforms.
Commercial and functional leaders responsible for commercial data or AI strategy.
Emerging and established pharma and biotech teams that want a clearer sense of how their AI work stacks up.
What you will learn
- Set the current business context for AI in life sciences.
- Learn how Trinity and TGaS help life sciences organizations assess, benchmark, and advance AI readiness across strategy, governance, data, use cases, and operating models.
- Share select findings from recent AI readiness studies, including differences across emerging and large pharma and how large organizations are approaching AI.
- Demonstrate how benchmarks help organizations understand their position relative to peers and AI trailblazers, and how those insights can informs near term priorities and roadmaps.
- The AI Readiness Snapshot available to attendees, featuring a select set of questions drawn from the full benchmark assessment.
AI readiness snapshot
Experience a sample of the AI Readiness Benchmark by completing a select set of questions from the full assessment. Participants will receive an individualized readiness snapshot, high-level peer comparisons, and a preview of the insights and recommendations available through the complete benchmark.
Register Now
Which session would you like to register for?
Complete the form below to register for the September 1st session at 2:00 PM ET
Complete the form below to register for the September 2nd session at 12:00 UTC+8 - Asia
Complete the form below to register for the September 2nd session at 12:00 CEST - Europe
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