Inside Novo Nordisk’s AI Analytics Journey—From Dashboards to Decisions

Smarter insights, faster execution, real-world results

Speakers
Chris
Walker
Head of Product Marketing
Tellius

Frank
Armenante
Director, Field Systems & Projects
Novo Nordisk

Frank Armenante is a 26-year veteran of the commercial life science industry, 16 years of which have been spent at Novo Nordisk—the world's 2nd largest pharmaceutical company. In his current role, he leads the Field Systems team, which aligns across the enterprise to provide customer-facing technology solutions to commercial sales, medical, and market access within all of Novo Nordisk U.S. operations. His core focus and expertise is commercial execution, field sales, and incentive compensation, while also possessing a strong understanding of information systems, IT, and customer-facing supporting technology. Balancing his life as a dad, coach, and giving his time to his community, Frank’s approach to business is a combination of passion, team commitment, and a relentless drive for higher performance and improvement.

What happens when you empower the field—not just analysts—with AI analytics?
In this exclusive conversation, Frank from Novo Nordisk shares an unfiltered account of their 18-month journey transforming commercial decision-making with Tellius.

🎥 Watch the video to learn:

  • How Novo Nordisk evolved from 2D dashboards to dynamic, 3D insights that save time and drive business growth
  • The biggest hurdles to AI analytics adoption in pharma—and what it takes to overcome them
  • Why it’s not “plug and play,” but worth the muscle memory
  • What happened when a sales leader ditched slides and ran a business review entirely in Tellius
  • The next frontier: how GenAI and agentic analytics will unlock faster, more strategic decisions

“A 1% improvement in business? That’s $100M in life sciences. And that’s the kind of impact we’re seeing.”

Whether you're leading field operations, analytics, or digital transformation, this session delivers practical insights from the front lines of pharma AI adoption.

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