Gartner Alexey LP Graphic

Inside Roche Diagnostics’ Data & AI Playbook

What you'll get

Portfolio Governance Framework

How Roche structures, oversees, and manages Data & AI initiatives as a unified global portfolio.


 

Prioritization & Funding Model

The criteria and decision-making process used to evaluate, sequence, and fund high-impact initiatives.


 

Operating Model & Alignment

How business, data, and AI leaders align around shared accountability, visibility, and execution at scale.


 

Lessons from Scaling AI Enterprise-Wide

Practical insights on reducing duplication, increasing transparency, and linking AI investment to measurable business value.

What you will receive


Get access to:
✔ Full session deck presented at Gartner
✔ Curated summary with key takeaways

Global Value Portfolio

Shifting from traditional data management to running Data & AI as a global value portfolio.

Governance & Operating Model

Combining tools and an operating model to govern and scale initiatives.

Prioritization & Investment Decisions

Evaluating, sequencing, and funding initiatives linked to enterprise strategy and outcomes.

Data Mesh & Data Governance

Embedding Data Mesh and Data Governance to enable scalable execution.
1614018004813
About the Roche Session at Gartner
As part of a $70B global pharma leader improving patients’ lives, Roche operates Data and AI at global scale. Facing fragmented investments and high spend with limited benefit, Roche shifted from traditional data management to running Data and AI as a global value portfolio. This session explains the framework used to prioritize and scale AI initiatives, embed Data Mesh and Governance, and link AI investments to business strategy.

Alexey Belincheko, Global Head of Data, Analytics and AI, Roche Diagnostics