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Webinar

Patient First Starts with Process First: Transforming R&D with Process Intelligence and AI

Available on-demand
60 Minutes

Every Life Sciences company wants to accelerate time to market, but Novo Nordisk is actually doing it. Join us to hear directly from Stephanie Bova, CVP R&D at Novo Nordisk, on how the company is leveraging AI and Process Intelligence to accelerate drug development and improve operational execution across R&D.

As Stephanie notes, "Without Process Intelligence, Enterprise AI at scale is hopeful thinking". Across Drug Discovery, Clinical Development, Regulatory Affairs, Quality, and Patient Safety, critical processes remain fragmented, manual, and difficult to orchestrate. This complexity limits the impact of AI initiatives and ultimately slows down patient outcomes.

In this webinar, you will discover how to enable real transformation. We will explore how leading pharmaceutical organizations can leverage Process Intelligence to create real time visibility across systems, teams, and functions. Learn how to uncover bottlenecks, reduce cycle times, improve execution, and drive intelligent, data driven operations across the R&D lifecycle.

You will learn about:

  1. The Novo Nordisk Impact Story: A featured customer perspective on their R&D transformation journey, including how they use AI to resolve bottlenecks, key lessons learned, and the business impact achieved.
  2. The Foundation for AI: Why process centric transformation and creating a "digital twin" of your operations is becoming the mandatory foundation for successful Enterprise AI adoption in R&D
  3. Industry-Wide Applications: Real world examples of how leading pharma organizations are transforming with Process Intelligence and AI across the broader R&D lifecycle.
  4. Innovative Strategies and Solutions: Key approaches for delivering end-to-end visibility, identifying bottlenecks, and enabling AI-driven execution across a core Clinical Operations process.

Speakers

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Stephanie Bova

Stephanie is an industry and digital transformation expert with over 28 years of experience in blue chip companies spanning the healthcare value chain and she is currently the CDO, Drug Development at Novo Nordisk A/S.
Prior to joining Novo Nordisk, she was the Head of Strategy and Innovation for the Corporate Digital Accelerator within Becton Dickinson, Vice President of Data and Digital in Global Drug Development at Novartis and President and Managing Director of Takeda Digital Ventures, a venture arm of Takeda Pharmaceuticals that invented and invested in digital healthcare start-ups. She was also CEO/founder of OSHI Health, Inc. a digital health start-up that serves patients with gastrointestinal disorders. She has also held various positions at Pfizer, Altana, and Deloitte Consulting.
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Shaurya Aggarwal

As Global Life Sciences Industry Principal at Celonis, Shaurya Aggarwal helps leading Life Sciences organizations reimagine business critical domains through Process Intelligence and AI. With nearly 20 years of experience across North America, EMEA, and APAC, he has dedicated his career to helping organizations unlock value across R&D, Commercial, and Supply Chain.
From advising industry leaders on transformation programs to shaping Life Sciences strategy at Celonis, he continues to help organizations uncover hidden execution opportunities and build the foundation for Enterprise AI at scale. He is also a frequent speaker at leading Life Sciences forums and industry events, sharing perspectives on the future of AI powered operations, Process Intelligence, and digital transformation.
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Ana Radosavljevic

As Global Clinical Operations Lead at Celonis, Ana Radosavljevic partners with leading Life Sciences organizations to drive transformation across clinical development through Process Intelligence and AI. With a background in engineering physics, she brings a rigorous, data-driven approach to improving trial execution and operational performance at scale.
Over the past several years, she has worked closely with global pharmaceutical leaders to enhance clinical operations, enabling greater end-to-end visibility, improved execution, and more scalable, data-driven ways of working. She focuses on building the operational foundation required to support enterprise AI adoption and accelerate better patient outcomes.

Register here to watch on-demand!