Optimizing Omnichannel Marketing in Pharma
Learn how to identify key drivers of adoption for pharmaceuticals to design smarter and more effective marketing campaigns by using regression models in Dataiku.
LEARN MOREDriving AI Innovation in the Pharmaceutical Industry with Dataiku
From accelerating drug discovery to improving clinical operations and manufacturing or optimizing commercial outreach and patient outcomes, Dataiku Solutions elevate all parts of the business with AI. With pre-built projects and ready-to-use templates, transform and enhance existing workflows with the power of data, advanced analytics, and machine learning.
Enhance & Accelerate Complex Processes With AI
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.
Enhance Operational Efficiency Across the Business
During strained economic periods with increased cost pressures, making all processes across the organization even more efficient comes into focus. Dataiku Solutions help get pharmaceutical organizations up and running with these initiatives even faster.
Do Even More With Dataiku
Generalized Linear Models
This plugin makes it possible to train, score, and deploy Generalized Linear Models from the VisualML interface.
Learn MoreVisual flow
Simplify collaboration and explainability of data workflows (no matter how big or complex) with Dataiku's unique visual flow.
Learn MoreScenarios
Automate actions and workflows in Dataiku to leverage powerful scheduling capabilities.
Learn MoreNeo4j
The 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.
Learn MoreDon't Take Our Word For It
GxP Compliance for Pharmaceuticals:
A Merck and Dataiku Collaborative Effort
Dataiku has been qualified by Merck's internal audit and review process as supporting GxP compliance, enabling Merck’s use of Dataiku’s collaborative data science platform in production with regulated data.
read the full storyReaching the Full Potential of AI in Pharma
While automation and advanced analytics are certainly already at work in the pharmaceutical industry, a massive amount of innovation has yet to take place — more organizations are on the path to scaling their AI maturity and there are more use cases to develop.
GET THE EBOOKPfizer: Everyday AI Is a Journey, Not a Destination
Debbie Reynolds, VP Enterprise Data Solutions and Engineering at Pfizer, discusses how they have been able to put data at the core of everyday business decisions, transform organizational behavior, and embark on the next phase: from democratization to Everyday AI.
watch nowMachine Learning in Drug Discovery, Translational Science, and Clinical Research
Despite years of hype, AI is still in its infancy in the pharmaceutical industry. This blog post explore some of the use cases where we have seen innovation leaders anticipate or begin to deliver success in the “digital transformation race.”
READ THE BLOG4 Trends for AI in Life Sciences for 2023
"The promise of AI in life sciences has been a theoretical discussion point for years now. Today I want to focus on how that vision might realistically take shape in 2023." Dataiku's life science expert, Kelci Miclaus, talks composable data architectures, ChatGPT, health equity, and more.
CHECK IT OUT