Accelerating Research & Development (R&D) Discovery Series: Synthetic Experimentation

AI advances and synthetic data generation are moving experimentation beyond traditional physical and observational models, introducing new ways to generate hypotheses and validate outcomes at scale. At the same time, R&D organizations are under mounting pressure to fast-track discovery cycles and justify long-term investments.

In Part 1 of our three-part webinar series Accelerating R&D Discovery, join Everest Group’s Richard Sear, Managing Partner, and Jillian Walker, Vice President, for an in-depth discussion on how synthetic data and AI-enabled experimentation are reshaping and driving R&D execution, governance, and long-term competitive positioning. The session will help R&D and innovation leaders distinguish incremental efficiency gains from structural transformation and see where strategic advantages can be created to accelerate results.

Accelerating R&D Discovery is a three-part executive series providing a disciplined, strategic examination of the current R&D evolution, led by developments such as synthetic data, agentic systems and digital-first environments. Rather than focusing on isolated tools, the series addresses how AI-enabled experimentation, autonomous systems, and evolving skill models collectively reconfigure R&D execution, governance, and competitive advantage. Leaders will leave with a clearer framework for prioritizing investments, managing risk, and aligning organizational design with next-generation innovation models.

The questions we will answer:

• How are synthetic data and AI-enabled experimentation changing the structure of R&D execution?
• What organizational, validation, and governance considerations must be addressed when integrating synthetic data into research workflows?
• How should R&D leaders evaluate the strategic role of AI-enabled experimentation within their broader innovation agenda to accelerate results?

Who should attend?

• Chief Innovation Officers
• Chief Scientific Officers
• Heads of R&D
• SVPs / VPs of Research & Development
• VPs / Heads of Innovation
• VPs / Heads of Advanced Research
• VPs / Heads of Engineering
• Directors of R&D Strategy
• Heads of Digital R&D
• Heads of Data & Analytics (R&D-focused)
• Directors of Applied AI / AI Strategy