How can we make AI reliable, sustainable, and truly value-generating in R&D?

This Lunch & Learn offers a pragmatic approach to building the data foundations required for effective and scalable AI adoption in R&D environments. Organized by Zifo + Revvity Signals, this session focuses on establishing robust data practices that enable long-term, impactful AI usage in scientific contexts. Through a combination of strategic perspectives, real-world use cases, and hands-on experience sharing, we will explore how to move:

• from isolated AI experiments
• to operational, repeatable use cases delivering measurable value for scientific teams

 

Why attend?
This interactive session will help you:

✅ Understand why data is the key success factor for AI in R&D
✅ Discover real-world experience and use cases
✅ Identify concrete levers for implementation
✅ Learn lessons from real projects
✅ Connect and exchange with your peers

Agenda highlights

• Fireside chat with data and digital innovation leaders
• Real-world use cases in R&D and modern laboratories
• Field experience on preparing data for AI readiness
• Networking lunch with Zifo and Revvity Signals experts

Who should attend? 

This event is designed for professionals involved in data and digital transformation in R&D, including:

• Heads of R&D, Innovation, or Digital Transformation
• Leaders in Data, Digital, Scientific IT, or Laboratory Informatics
• Scientists, Lab Managers, and Analytical Platform Leads
• Experts in Quality, AI Readiness, Data Governance, or Data Stewardship
• Teams preparing R&D for advanced use cases (AI, automation, analytics)

Whether you are at the early exploration stage, piloting initiatives, or scaling deployment, this session will provide practical and actionable insights.

Free registration – limited seats available
(Confirmation will be sent by email)