Leveraging connected data for evidence-backed decision making
In a rapidly shifting landscape, R&D leaders face a persistent challenge: making high-stakes investment decisions with incomplete visibility. AI is fundamentally redefining what is possible in strategic planning, but not always in the ways organizations anticipate. This session is about what comes next.
Join Digital Science to explore how structured intelligence — built on knowledge graphs, ontologies and semantic models — gives R&D leaders a sharper, more honest picture of the landscape they’re navigating.
What you’ll learn
- Why LLMs and keyword searches have a ceiling — and what structured intelligence can reach that they can’t
- How to use AI to generate evidence-backed alternative hypotheses, so decisions are tested, not just confirmed
- What next-generation R&D metrics look like in practice: cross-industry benchmarks and real-time validation replacing backward-looking indicators
Whether you’re in pharma, chemicals or technology, this session offers a grounded look at how AI is changing strategic decision-making — not in theory, but in practice.
Speaker
Mary Ellen Bates
Principal | Bates Information Services LLC
