Evidation empowers individuals to participate in better health outcomes by turning research into production-grade models in as little as eight weeks.
10X faster development of deep learning models puts Janssen researchers one step closer to delivering precision medicine.
Greater collaboration among data scientists accelerates the pace of research at Bayer to help farmers grow crops more efficiently.
Ford is scaling data science across more than 1000 employees, with code-first data scientists collaborating with less technical users to solve key business challenges.
Arthur D. Little helps a pharmaceutical company keep clinical trials on track by developing new models up to 1.5 times faster.
Eli Lilly has taken a proactive approach to scaling data science across people, process, and technology for MLOps at enterprise scale.
BMS’ translational bioinformatics team can test tens of thousands of hypotheses with complete reproducibility to accelerate the fight against cancer.
Streamlined workflows and improved collaboration among its data scientists help this Fortune 500 financial services leader create empathy with millions of customers.
An FDA-qualified research platform enables this global pharma to test tens of thousands of hypotheses to accelerate their fight against cancer and other diseases.
DBRS delivers high-value research to clients faster by accelerating data science experimentation and increasing collaboration.
Gap is building out more personalized experiences to increase engagement by modernizing its approach to data science and analytics.
S&P Global is training its workforce of more than 17,000 people to be more data-driven, using Domino as the “glue” underpinning its program.
Vevo’s data science platform enables it to experiment in a very modular way and very easily expand into other areas.
A more than 50% reduction in the time to move models into production enables Moody’s Analytics to get information into the hands of clients faster.
Seer is using data science to understand how cancer affects protein in the blood to better predict whether a person has cancer.
Model-driven automation and reinforcement learning makes EasyJet operations more nimble amid the COVID-19 pandemic.
This Fortune 500 insurer delivers new fraud detection capabilities in weeks by slashing model delivery and validation cycles.