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The Analytical Platform Era is Dead. Long Live Decision Platforms.

Learn how Regeneron connects enterprise data, code, AI, and published applications into one workflow, and what they’ve learned from watching how people use what they publish.
Regeneron

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About this session

Statistical programmers, data scientists, clinicians, scientists, and business leaders all depend on the same analytical platform, and many of them will never write a line of R or Python. That platform has to scale on demand, hold up in GxP-regulated work, and stay open to new data sources, open-source tools, and AI as they arrive.

In this session, Dilip Raghunathan, Sriram Krishnamurthy, and Anand Ganesan walk through Regeneron's move toward a hybrid, best-in-breed analytical ecosystem and the role Posit plays in it.

They'll follow one analyst's path:

  • Pulling enterprise data into an integrated development environment
  • Writing and iterating on code, collaborating through GitHub, and working with AI in the same place
  • Publishing that work as an interactive application that stays secure and refreshes for
    stakeholders
  • Using usage analytics, observability, and AI token telemetry to see who uses each application, how they use it, and where people get value from it

You'll also hear the architectural and organizational principles behind Regeneron's strategy, and why the team is aiming past a better IDE toward a platform where teams use what they learn from each decision to make the next one better.

📆 When: Wednesday, November 4th at 12 PM ET

💻 Platform: Zoom

Can’t make it live? Register, and we’ll send you the recording.

Meet the Regeneron Team

Dilip Raghunathan headshot

Dilip Raghunathan

Business Solutions Partner (Global Development and IT), Regeneron
As a seasoned cross-functional leader and grey-space operator at the intersection of Global Development and IT, Dilip Raghunathan brings deep expertise across the clinical data lifecycle, from standards and regulatory submissions to modern data platforms and AI. He focuses on enabling scalable transformation, modernizing Decision Platforms, advancing Digital Data Flow (DDF), and applying AI to improve trial execution, data quality, and decision-making in GxP-regulated environments.
Sriram Krishnamurthy headshot

Sriram Krishnamurthy

Director of Product Management, Global Development, IT, Regeneron
Sri Krishnamurthy is Director of Product Management at Regeneron, where he leads solutions delivery that turns data and technology investments into measurable business value for Global Development. He is leading a portfolio of transformation efforts: establishing an industry-leading Statistical Computing Environment (SCE), transforming Human Sample Management, digitalizing study protocols, advancing Digital Data Flow (DDF), and building a modern analytical platform, with AI applied responsibly across each. Together, these efforts aim to reduce clinical trial cycle time, improve data quality, and strengthen compliance (GxP), with the goal of getting medicines to patients faster.
Anand Ganesan headshot

Anand Ganesan

Product Lead, GD-IT, Regeneron
A Product Leader with a demonstrated history of delivering clinical IT transformations for pharma, biotech/CROs, with a Wharton Management Development Program, Kellogg Product Strategy and Stanford Advanced Program Management from Stanford University. He is a big believer in product innovation and leads large teams in product development using SAFe Agile methodologies. He is an ex-IQVIA/ex-Medidata with 20+ years in clinical IT. Anand is a tech savvy leader with interests in AI, big data, blockchain and use them to address the challenges faced by the life sciences industry. Anand loves participating in hackathons and social innovation activities in the life sciences/ healthcare space. More recently Anand was a semi- finalist in 'HITLAB Breakthrough One' Challenge featuring EZTrialFinder™, a Gen AI driven innovative solution enable patients find clinical trials from their mobile phone.