Agentic AI in R&D: When to Use It, When Not to, and How to Capture Value

R&D teams are under increasing pressure to deliver breakthrough innovation faster — and with fewer resources. Agentic AI offers a powerful new advantage by autonomously managing parts of the ideation, planning, and design process, helping R&D leaders shorten development cycles and boost productivity. In this session, you’ll learn how to identify the highest‑value use cases for agentic AI, understand where the technology can (and cannot) meaningfully support R&D workflows, and explore real‑world examples of how leading organizations are already deploying it. We’ll discuss how to:

• Choose high‑value, high‑feasibility use cases for agentic AI within R&D

• Understand how other organizations have deployed agentic AI through practical use‑case snapshots

• Determine when agentic AI is the right fit — and when human‑driven methods remain essential

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