Social Determinants of Health
Discover where community-level social disparities and vulnerabilities align with chronic disease prevalence to drive therapeutic access and health equity programs.
LEARN MORETop organizations in the healthcare industry (from providers to insurers and more) are using Dataiku to optimize and innovate across a range of processes. Because Dataiku is built for technical, business, and medical users alike, all stakeholders can benefit from insights to make data-driven decisions for more efficiency and better patient outcomes.
Put the power of data in the hands of the many with these Dataiku Solutions, all while ensuring AI efforts are collaborative, transparent, and explainable, a proven formula for increasing efficiencies and improving patient outcomes.
This plugin makes it possible to train, score, and deploy Generalized Linear Models from the VisualML interface.
Learn MoreSimplify collaboration and explainability of data workflows (no matter how big or complex) with Dataiku's unique visual flow.
Learn MoreAutomate actions and workflows in Dataiku to leverage powerful scheduling capabilities.
Learn MoreThe Neo4j plugin allows DSS users to read and write from/to the Neo4j graph platform. Neo4j offers a popular database and language (Cypher), which lets users query and analyze graph data structures.
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Novartis moved from repetitive manual calculations in Excel to informed decision-making grounded in accurate and real-time data with Dataiku. Learn more about their mission to streamline analytics and machine learning across the organization in this story.
READ THE FULL STORYFrom AI-assisted drug development to advanced healthcare data engineering, advanced analytics is transforming the pharmaceuticals industry for the better.
GET THE EBOOKFrom engagement strategies with healthcare professionals and patients to speeding discovery and development of new therapeutics, there are many ways companies can harness data, analytics, and AI to drive value at scale.
READ NOWWhat trends can we expect to see in the coming year for life sciences? Find out here.
READ THE BLOG POSTDataiku and Databricks surveyed 400 senior AI professionals to measure AI maturity. Here are some top statistics around AI in healthcare and life sciences.
READ THE REPORT