CINTONA

Agenda

15 September 2026

AI Transformation in the Pharma Industry

Why the biggest challenge today is no longer AI technology itself, but deploying and scaling it successfully across the enterprise. How business expertise, AI know-how and systems understanding must come...
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Harita Byluppala, Novartis

Innovation with Trust: Balancing AI Progress, Data Protection and Workforce Impact

Opportunities and challenges arising from the rapid pace of technological and AI-driven change. Balancing the speed of AI innovation with data protection, responsible implementation and organizational trust. How AI affects...
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Anthony Obiri-Yeboah, Saint-Gobain

From AI Pilots to Business Impact: What It Really Takes to Scale AI

Why most AI initiatives never move beyond the pilot stage – and how to avoid the common pitfalls. Why governance, trusted data and automated end-to-end processes matter more than the...
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Holger Spielberger, ex GF Piping Systems
11:15 - 11:45

Networking Session 1

11:45 - 12:15

Networking Session 2

12:15 - 12:45

Networking Session 3

12:45 - 13:15

Networking Session 4

13:15 - 14:00

Lunch

14:00 - 14:30

Networking Session 5

14:30 - 15:00

Networking Session 6

15:00 - 15:30

Networking Session 7

15:30 - 16:00

Networking Session 8

Four Lessons from Leading an Enterprise AI Team

Stand on the shoulder of giants. Value simplicity. Don’t fight Conway’s Law. It’s all about the data.
Dennis Meier, UBS

Data & AI Strategy and Use Cases in The Canton of Basel-Stadt

Developing and implementing a data strategy in the public sector. Building a data and AI platform as part of a hybrid architecture. AI governance. Technology stack. AI trainings for the...
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Philipp Klett, Canton Basel-Stadt

Multi-Agent Systems as a New Operating Model

From Co-Pilots to Agent Teams: What agentic AI means for senior leaders and where the real business value lies. Beyond Chatbots: What sets AI agents apart from co-pilots – and...
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Prof. Dr. Thomas Clemen, Hamburg University of Applied Sciences (HAW)
18:15

Apéro at the Hotel Bar

16 September 2026

Making AI Useful in Everyday Work at Axpo

Practical lessons from Axpo’s AI journey: How to identify valuable use cases, support adoption, balance innovation with governance, And make AI genuinely useful in everyday work.
Anaig Maréchal, Axpo

Enablement of Data Science & AI in Space Hardware Manufacturing: Dependencies and Challenges

How Data Science & AI can support the transition from prototype-driven space programs to industrialized hardware manufacturing. Why data quality, standardized processes and governance are critical dependencies for successfully deploying...
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Alexandru Marian, Beyond Gravity

Creating Business Value with Data & AI: From Strategic Intent to Scalable Execution

Navigating the 2026 Intelligence Ecosystem: Key trends shaping data, AI, and digital transformation. Building Data-First Organizations: The maturity pillars required for scalable innovation. From Strategy to Execution: Critical success factors...
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Dr. Farhoodeh Zamani, Kenvue
11:15 - 11:45

Networking Session 1

11:45 - 12:15

Networking Session 2

12:15 - 12:45

Networking Session 3

12:45 - 13:15

Networking Session 4

13:15 - 14:00

Lunch

Before AI Comes the Meaning of Data

Why a semantic foundation is key. Our journey to create one. How old priorities didn’t change.
Rameen Rahman, Straumann Group

AI Automation: A Perspective for the Manufacturing Industry

AI is only as good as the data behind it: how to unlock value from manufacturing, quality and operational data at scale. From analytics to automation: using AI to transform...
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Alessandro Crippa, dsm-firmenich Animal Nutrition & Health (ANH)

Learn from Real Life Experience at Global Scale on how to Operationalize AI in 3 Steps (Siemens internal case)

Embed AI as part of your new normal. Embed latest General AI in all your workflow. Demonstrate financial impact with target initiatives.
Thomas Frendo, Siemens
16:15 - 16:45

Networking Session 5

16:45 - 17:15

Networking Session 6

17:15 - 17:45

Networking Session 7

Panel Discussion: From Pilots to Corporate AI Transformation

AI is fundamentally changing the way companies create value and make money. The main challenge right now: with AI technology developing faster than organizations can change, it is very hard...
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