Prologis: Reaching operational excellence with Dataiku

At Prologis, data scientists built models locally and handed them off for deployment, a slow process prone to dependency issues, and AI stayed siloed within a small group, creating bottlenecks. Prologis adopted Dataiku to democratize AI development end-to-end, integrating with its Snowflake warehouse and offering a no-code environment for business analysts. Productionalized projects grew 12x, from 5 to 60+ AI/ML projects in production, with 30 projects and 30 APIs actively in use (versus 5 before) and 85 active users beyond data scientists; 2,000 users now use an internal Enterprise ChatGPT platform, and 10 generative AI products are in production. The page quotes that analysts get 'seamless integrations with all of our data source systems...all without any coding knowledge.'

Dataiku is a low-code/no-code AI platform whose Prompt Studios and LLM Mesh let teams prototype and A/B-test candidate LLM approaches before committing to a production workflow.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.