Our keynote speaker, John Wilbanks is a distinguished authority in the field of data governance, backed by a wealth of experience and a forward-thinking vision regarding the future of data and AI. In his session, he sheds light on the hurdles and prospects of effectively implementing data governance strategies that unlock the potential of generative AI.
Our keynote speaker, John Wilbanks is a distinguished authority in the field of data governance, backed by a wealth of experience and a forward-thinking vision regarding the future of data and AI. In his session, he sheds light on the hurdles and prospects of effectively implementing data governance strategies that unlock the potential of generative AI.
Scaling clinico-genomic data integration: Large pharmaceutical organizations working with external data providers used Polly to build interoperable clinico-genomic data products 6x faster.
Although purchased datasets are often labeled as "clean," they still lack interoperability—Polly's pipelines bridge this gap with robust integration and harmonization.
Information Retrieval: Drug safety monitoring teams used Polly's Knowledge Graph powered co-scientist to conversationally retrieve the right cohorts & assess drug response—cutting discovery time by 70%.
If you’re working with complex biological data, you may be asking:
Can generative AI truly assist in scientific reasoning, not just data analysis?
What does it mean for hypothesis generation, literature review, or even designing experiments?
Could this accelerate—not replace—my discovery pipeline?
Whether you're skeptical, curious, or already experimenting with AI in your lab—this is a session designed to ground your understanding in evidence, not speculation.