AI and Automation Transforming R&D

This executive session breaks down how AI is being operationalized across R&D pipelines. Hear from leaders executing high-impact AI programs in real time—across pharma, materials science, and advanced manufacturing.

• 63% of AI deployments in R&D now go beyond language models—impacting simulations, modeling, and predictive design
• AI-first workflows are being applied to protein folding, molecular structure prediction, and materials engineering
• Generative AI is accelerating idea generation by 5–7x across cross-functional R&D teams
• LLM-powered systems are auto-generating experiment summaries, test reports, and knowledge maps with up to 80% accuracy
• Cloud-native platforms now integrate AI into real-time collaborative testing environments
• 70% of strategic R&D programs are building modular AI tools aligned to specific functions—early discovery, validation, risk identification
• Physics-informed and multimodal AI are now used to run complex simulations previously limited to high-cost lab setups
• Leaders are setting AI-readiness benchmarks across sub-functions—adoption is tracked by output velocity and accuracy metrics

This session provides tactical clarity for R&D leaders, CTOs, innovation managers, and engineering teams building the next wave of AI-led transformation. Every example is drawn from ongoing, high-impact implementations—built to scale, measured by results.