AI success for healthcare and life sciences
Accelerate research timelines, drive commercial growth, and improve patient outcomes — with compliance built in from the start.
Novartis moved from manual spreadsheet calculations to informed decision-making with Dataiku and harnessed the Dataiku LLM Mesh to revolutionize healthcare market research.
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Roche reduced attorney time, cut GenAI project build cycles from months to days, and improved the quality of case law analysis with Dataiku.
Read the full storyNovartis moved from manual spreadsheet calculations to informed decision-making with Dataiku and harnessed the Dataiku LLM Mesh to revolutionize healthcare market research.
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Johnson & Johnson’s Vision team partnered with Dataiku for a generative AI training and hackathon, which led to working prototypes in less than two days.
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Moderna saved 40 hours per month compared to previous manual processes with Dataiku.
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Highmark Health modernized its data stack and unified teams on a centralized workbench to streamline data management and reduce complexity with Dataiku.
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Speed up research, clinical, and commercial operations
Gain rapid access to the data you need for drug discovery, patient care, and sales initiatives to accelerate time-to-market and improve outcomes.
Unlike tools that require approval for every new data request, Dataiku gives domain experts the ability to build on real enterprise data with the guardrails already in place.
Build and compare production-ready models across biomarker analysis, patient stratification, and commercial forecasting with full explainability at every skill level.
Give research and commercial teams the tools to prepare multi-source clinical data themselves without waiting on technical resources.
Generate audit logs, electronic signatures, and version control automatically so your teams focus on the science.
Use cases in healthcare - need title
Discover new drug-disease relationships using graph analytics and generative AI with simple natural language prompts instead of specialized expertise.
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