Pharmasight
Sign inSee a worked packBook the bench
Design & Stress-Test · Dataiku

market-share insights using AI agents (non-pharma

EuronextDesign & Stress-TestDataiku

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.

Source

Published by Dataiku on its own site — read the original case study on dataiku.com ↗

More like this

Related use cases

  1. 01moved from manual spreadsheet-based calculations to Dataiku-driven decision-making; used Dataiku LLM Mesh for healthcare market research, 90% reduction in time-to-insight on GenAI use cases, 600% faster data ingestion on spreadsheet use casesNovartisDataikuDesign & Stress-Test
  2. 02used Dataiku to redesign patent/legal workflows with agentic AI; reduced attorney time and cut GenAI project build cycles from months to daysRocheDataikuDesign & Stress-Test
  3. 03ran a generative AI training/hackathon with Dataiku that produced working prototypes in under 2 daysJohnson & Johnson (Vision)DataikuDesign & Stress-Test
  4. 04GxP-compliant pharmaceutical AI collaboration ("Driving AI Innovation in Life Sciences"MerckDataikuDesign & Stress-Test
  5. 05saved roughly 40 hours/month versus its prior manual process using Dataiku (dedicated story page not directly confirmed live in this pass; reported via Dataiku's own marketing copy).ModernaDataikuDesign & Stress-Test
  6. 06transformed data organization and clarity (non-pharma; food/agriculturePerdue FarmsDataikuDesign & Stress-Test