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The challenge of storing and retrieving data exists because various stakeholders need to interface with the data before it is analyzed. Setting up a system that tracks data lineage, quality & versioning is often an afterthought. Here, our CTO & Co-founder, Swetabh Pathak & Senior Solution Architect, Krutika Gaonkar, define a data management strategy, that allows R&D teams to ensure the journey for data generated from instruments/ CROs to insight derivation is seamless. They will also show how pre-clinical data can remain clean, linked & thus FAIR at every stage.
The challenge of storing and retrieving data exists because various stakeholders need to interface with the data before it is analyzed. Setting up a system that tracks data lineage, quality & versioning is often an afterthought. Here, our CTO & Co-founder, Swetabh Pathak & Senior Solution Architect, Krutika Gaonkar, define a data management strategy, that allows R&D teams to ensure the journey for data generated from instruments/ CROs to insight derivation is seamless. They will also show how pre-clinical data can remain clean, linked & thus FAIR at every stage.
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%.
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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.
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