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Today, biomolecular research produces a large amount of data. This data provides important clues for discovery, translational research, and personalized medicine. At Elucidata, our aim is to build a platform that puts high-quality data central to ML workflows in pre-clinical R&D. In this session, our speakers shed light on the Do-it-yourself (DIY) data journey on Polly, starting from ingesting raw data on Polly's cloud, analyzing and visualizing processed data and everything in between. Join Neychelle, Director - Solutions and Technical Sales, as they give us insights into what’s coming up next quarter on Polly.
Today, biomolecular research produces a large amount of data. This data provides important clues for discovery, translational research, and personalized medicine. At Elucidata, our aim is to build a platform that puts high-quality data central to ML workflows in pre-clinical R&D. In this session, our speakers shed light on the Do-it-yourself (DIY) data journey on Polly, starting from ingesting raw data on Polly's cloud, analyzing and visualizing processed data and everything in between. Join Neychelle, Director - Solutions and Technical Sales, as they give us insights into what’s coming up next quarter on Polly.
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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