Shaping the future of health: Boehringer Ingelheim's Data & AI Journey
summary
Boehringer Ingelheim describes concrete wins: a recommendation engine deployed live in eight weeks; 40 onboarded data domains serving as data crown jewels; Data X Academy upskilling ~4,000 people a year; 40 years of clinical-trial data giving seven times faster insights; a digital twin for protein refolding that reduces impurities; an incubator-placement model lowering vaccine contamination; RPBG camera vital-sign screening enrolling 3,000 Kenyan patients; and a quantum lab that cuts a pharma molecular simulation from days to minutes.
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chapters (16)
- 0:00Data & AI journey at Boehringer
- 1:47Family legacy for AI in healthcare
- 3:54Boehringer’s data & AI strategy
- 5:19Healthcare challenges & AI role
- 7:09AI in drug discovery & genomics
- 8:56Clinical trial data for faster therapy
- 10:00Smart process design in biopharma
- 11:28AI for animal health sales
- 12:56AI remote healthcare in Kenya
- 14:22Winning with data & AI
- 15:45Upskilling teams via Data X Academy
- 16:05Data domains as crown jewels
- 17:09Tech ecosystem for analytics & AI
- 17:52Quantum lab & drug discovery
- 19:16AI for personalized medicine
- 20:20Conclusion & future commitment
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