Scientific
Intelligence Symposium
Powering the next generation of R&D
A virtual symposium for R&D leaders and practitioners
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October 07 2026
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15:00–17:00 CEST
A new paradigm is emerging.
Scientific Intelligence introduces a new, knowledge-driven approach to how innovation in research and development happens that combines AI, advanced simulation, data, and high-performance computing to fundamentally transform how science is performed, scaled, and industrialized.
The Capgemini Scientific Intelligence Symposium brings together leading practitioners, scientists, and decision-makers to explore how technology convergence is reshaping R&D—and how organizations can turn this shift into a competitive advantage.
- Why attend
- What to expect
- Key themes
This symposium is designed for leaders who recognize that accelerating existing R&D processes is no longer enough.
By attending, you will:
- Understand how AI, simulation, and data convergence are transforming scientific discovery
- Explore the shift from trial-and-error to knowledge-driven R&D discovery
- Discover how to reduce experimentation cycles and accelerate time-to-market
- Learn from real-world use cases across industries
- Engage directly with other like-minded industry leaders
- Identify how to unlock value from modern scientific technology stacks
A high-impact, two-hour program combining strategic insights, technical perspectives, and real-world applications:
- Keynotes from industry leaders, scientists, and technology innovators
- Expert panels on the convergence of AI, simulation, and advanced computing
- Deep dives into emerging trends in materials science, biology, and computational R&D
- Use cases and demonstrations showcasing applied Scientific Intelligence
- Cross-industry perspectives spanning aerospace, life sciences, consumer goods, and energy
Key themes
- The convergence of AI, simulation, data, and high-performance computing
- The transition to knowledge-driven, model-based R&D
- Cross-disciplinary scientific workflows at scale
- From experimentation to predictive, simulation-led discovery
- Industrial applications in materials, pharmaceuticals, and sustainability
This event is tailored for:
- Computational R&D practitioners
- R&D and engineering leaders
- Scientists and domain experts
- CTOs and innovation leaders
- Technical decision-makers across industries
Capgemini’s perspective
Scientific breakthroughs no longer depend solely on access to technology, but on the ability to orchestrate it.
Capgemini positions itself as a leader in Scientific Intelligence, helping organizations move beyond fragmented tools and siloed capabilities toward integrated, scalable scientific workflows.
By combining expertise in AI, simulation, data foundations, and engineering, Capgemini enables enterprises to:
Transform R&D operating models,
not just enhance them
Industrialize scientific discovery,
from experimentation to deployment
Scale innovation across the enterprise,
with governance, validation, and measurable outcomes
In this emerging landscape, value will come from orchestrated transformation at scale.
Speakers
Jerry Chow
IBM Fellow and Chief Technology Officer for Quantum- Centric Supercomputing
Thomas Eckl
Chief Expert for Computational Materials Design, Bosch
George Booth
Professor of Theoretical Physics, King's College London
Dr. René Böttcher
Computational Surface Technology Scientist, Airbus
Jonathan Owens
Senior Scientist in Computational Materials Physics, GE Vernova Advanced Research
Nathan Baker
Partner, Quantum Applications
Alberto Prado
Former VP, head of Digital & Partnerships Unilever R&D
Dr. James Saal
Vice President - External Research Programs , Citrine Informatics
Event details
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Date
07
Oct 2026 -
Time
15:00
17:00 CEST -
Format
Online(live session)
Register now
Secure your place at the forefront of the next generation of R&D innovation.
