Where Life Science Analytics Leaders Meet to Stay Ahead

Advance AI integration, modernize data infrastructure, and overcome the challenges holding back analytics strategies.

October 13–15, 2026 · The Westin Copley Place, Boston

The Westin Copley Place, Boston, Massachusetts.

Keynote Speaker

James Sun

Decision Intelligence: Why the Next Wave of AI Isn't Prediction, It's Judgment

For analytics and data science leaders in life sciences, this keynote will reframe your role: you are not just the custodians of data infrastructure. You are the architects of how your organization thinks, decides, and acts.

James Sun
Founder, Operator and Investor, Devblock Technologies

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Closing the Gap Between AI Potential and Real-World Impact

Life sciences organizations are moving beyond pilots. They’re integrating AI at scale, modernizing infrastructure, and building governance frameworks that make analytics reliable and operational. AnalytiCon brings together the leaders doing this work—and the strategies delivering measurable results.

Program Themes

AnalytiCon focuses on the operational realities of analytics and AI in life sciences – from governance and infrastructure to practical implementation across the lifecycle.

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Analytics Strategy, Data Governance, and Measuring ROI on AI Investment

How organizations turn analytics into measurable value, including decision frameworks, investment prioritization, and privacy and compliance considerations. Leadership perspectives on linking analytics outputs to business outcomes.

Embed AI/ML, Generative, and Agentic Models into Real-World Workflows

Understand how the latest generative and agentic techniques are being used across analytics and the R&D, clinical, and commercial lifecycle. Learn how to evaluate tools and move insights from prototype to repeatable value.

Applied AI Analytics in Life Sciences: R&D to Commercial

Explore how AI analytics drive data-informed insights across oncology discovery, trial recruitment, real-world evidence, HCP engagement, brand planning, and forecasting.

AI Analytics Challenge: From Concept to Insights

Work with realistic datasets to build an AI-powered analytics solution—from framing the business case and selecting the stack to building models and presenting insights.

Insights from the AnalytiCon Community

Practical guidance from analytics and AI leaders across life sciences.

Roadmap for Designing Practical AI Analytics

The essential steps from problem statement to implementation—framing the right questions, ensuring reliability, and deploying analytics stakeholders trust.

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Where AI Creates Advantage

Read the AnalytiCon announcement for context on where AI and analytics are translating into measurable advantage across the life sciences enterprise.

Explore the Event

Webinar Slides: Demystifying AI in Life Sciences

Review applied AI use cases across the life sciences value chain, with targeted examples spanning discovery, preclinical, and clinical development.

View the Slides

Join Analytics Leaders from Top Life Sciences Organizations

Pharma, biotech, and medtech teams driving analytics transformation at scale.

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Join the Conversation at AnalytiCon

October 13–15, 2026 · The Westin Copley Place · Boston, MA

Early bird pricing ends June 29