We stand at a watershed moment.
AI is no longer a roadmap item; it’s a commercial imperative. Across Europe’s pharma landscape, the organisations pulling ahead are those that have stopped experimenting and started executing turning fragmented data into intelligence engines, embedding AI into the workflows that drive revenue, and building the infrastructure that makes it all scale.
The gap between those teams and everyone else is widening fast. And it won’t wait.
Reuters Events: Pharma Data & Tech Europe is where Europe’s most senior pharma commercial, data, and digital leaders come together to close that gap. With around 250 attendees, this is an exclusive, high-level gathering, not a trade show floor, but a room of peers who are navigating the same pressures, making the same bets, and willing to be honest about what’s working and what isn’t.
Expect bold conversations on transforming CRM systems from glorified contact databases into dynamic commercial intelligence engines, ones that predict opportunities, surface real-time insights at the point of engagement, and serve as the execution layer for agentic AI. Expect a hard look at what precision customer engagement actually means when HCP and patient expectations are shifting beneath your feet, and AI is reshaping how health information is sought, trusted, and acted upon. Expect a frank discussion on the data infrastructure decisions being made right now that will determine who is AI-ready in 2027, and who is still untangling governance frameworks while competitors scale.
And expect the conversation that every digital transformation leader in the room is quietly having: why do 85% of AI pilots never reach production, and what does it actually take to turn experiments into revenue engines?
These aren’t hypothetical challenges. They are sitting on the desks of every CDO, commercial director, and analytics leader in European pharma today, and the window to get ahead of them is narrowing.
Explore how modern data architectures are reshaping enterprise capabilities — from privacy-preserving platforms and knowledge graphs to automation and LLM-ready infrastructure. Get practical on integrating GenAI safely, scaling analytics, and accelerating customer engagement from content to field enablement, all while meeting rigorous regulatory standards.
Get on the front foot. Refocus. And walk away from Reuters Events: Pharma Data & Tech Europe with the frameworks, partner relationships, and strategic clarity to deliver measurable commercial impact — not next year, but now.
Top Speakers:
- Marion Legler – Head, Pharma Decision Science & AI – Bayer
- Margi Sheth – Head, AI Governance & Enablement – Novo Nordisk
- Shreenivasa Rajanala – VP, Data, Analytics and AI, Global Commercialisation – Bayer
- Diana Medeiros Placido – Chief Digital & Technology Officer – Viiv Healthcare
- Russell Smith – VP, ERP Transformation Technology – AstraZeneca
- Arun Nair – Senior Director, Head of International Commercial – Data & Analytics (IT) – Gilead Sciences
- Eva Martins – Global Head, Launch and Commercialisation Excellence – Sanofi
- Asheesh Chhabra – Chief Data Officer & VP, Central Data & Analytics Office – MSD
- Svetoslav Tsenov – General Manager, Bulgaria, Hungary, Romania and Greece – Astellas
- Vicky Ngo – Associate Vice President, International Lead, Digital Human Health – MSD
- Cyril Mandry – International Head of Oncology Customer Engagement & Omnichannel Experience – MSD
- Ayesha Aziz-Akosa – Head of Global Marketing, Established Brands – Astellas
- Mikhail Komarov – Commercial Data Engineering, Analytics and AI Lead – Pfizer
- Sudeep Gupta – Global Head of Data – Kyowa Kirin
- Bruno Rizzuti – Head of Infrastructure Data Engineering & Governance – Boehringer Ingelheim
- Hank Du – Co-Founder & Director – Aithena
- William McCully – Co-Founder & Director – Aithena