Case Study: Novo Nordisk achieves enterprise-wide efficiency and faster AI innovation with Dataiku

Novo Nordisk Using Generative AI to Drive Enterprise-Wide Efficiency

Novo Nordisk, a global healthcare company, faced challenges in improving scientific exchange, speeding up research workflows, and giving field sales teams easier access to incentive compensation information. Using Dataiku and its generative AI capabilities, Novo Nordisk set out to build predictive insights, automate literature analysis, and support employees with faster, more reliable access to data and knowledge.

Dataiku helped Novo Nordisk implement several solutions, including predictive models for identifying at-risk Type 2 diabetes patient cohorts, an automated AI system for scientific literature summaries, LITGA AI for literature gap analysis, and IC ASSIST for incentive compensation support. The result was greater efficiency, reduced manual effort, improved productivity, stronger collaboration, and more informed decision-making across teams, while also supporting regulatory compliance and faster AI development.

Novo Nordisk

Shihan He

ML Engineer