Case Study: Bayer achieves faster, scalable data science collaboration with Domino Data Lab

Helping Farmers Grow Crops More Efficiently through Innovation and Sustainability

Bayer, a world-leading agricultural products company, needed a better way to manage a large and highly collaborative data science effort across hundreds of projects and multiple business units. Working within its “science@scale” platform, Bayer turned to Domino Data Lab and its Domino Enterprise MLOps Platform to support model development, collaboration, and faster experimentation at scale.

Domino Data Lab helped Bayer standardize and accelerate its model workflows with versioning, reusable templates, broad tool support, and automated infrastructure for parallel experimentation and deployment. As a result, more than 75% of Bayer’s 500-plus data scientists actively use Domino, enabling faster delivery of models, significant cost savings, improved operational efficiency, and better seed production yield through smarter crop and supply chain decisions.

Bayer

Naveen Singla

Data Science Center of Excellence lead