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ABOUT THIS WEBINAR
For R&D leaders in industry, the pressure to embrace AI is intense—and often overwhelming. You’re expected to move fast, yet figuring out which solutions will truly create business value is harder than it seems.

- According to IDC, 88% of AI pilots fail to reach production—and the challenge goes beyond IT.*

- Elsevier’s Corporate Researcher of the Future 2025 Report reveals that 33% of corporate researchers do not use AI in their work. **

Enthusiasm often outpaces governance, trust, and measurable outcomes. Join us live to learn:
AGENDA
  • The AI landscape in corporate R&D: real market pressures and the practical realities R&D teams face.
  • Key findings from Elsevier’s report: where AI is delivering results in R&D, where it isn’t, and how to expand responsible AI use across your organization.
  • Insights from Dow’s digital transformation: what are the key successes in using data-driven methods and hybrid modeling in materials design and production. The talk also covers challenges in building data infrastructure, ensuring data quality, and promoting a data centric culture.
  • Real-world examples: Five pitfalls that engineering organizations in sectors such as aviation, automotive, chemicals, construction, and energy can avoid, drawing on the pharma industry’s experience with AI adoption at scale.
  • Interactive Live Q&A Session
FEATURED PRESENTERS
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