How to accelerate data science with Domino's Enterprise MLOps platform
June 8, 2022
Accelerate Data Science with Domino Enterprise MLOps Platform
See how Domino can increase your model velocity by streamlining the development and deployment of models.
Domino removes the barriers that constrain your data scientist’s productivity. It's easy to collaborate and find past work. With one click they can instantly spin up a workspace with the desired set of tools and infrastructure and get to work.. Models can be easily deployed and automatically monitored. As a result, with Domino data scientists get to focus on creating powerful models, not recreating the wheel or DevOps.
Join us to explore how Domino helps organizations overcome three barriers to scaling data science:
- Infrastructure Friction
- Productionization Challenges
- Limited Collaboration
Meet the speaker
<placeholder> Andreas Heinzerling, Enterprise Account Executive at Domino Data Lab
Andreas has a Master's in Business Administration and more than 10 years of experience in Enterprise Software. He and his colleagues help large companies in the Banking, Insurance, Pharma, and Manufacturing industry to improve their Data Science outcomes by getting models into production faster, promoting collaboration, ensuring reproducibility of model results, and automating model monitoring.
Trusted by Fortune 100 companies worldwide
TopDanmark's model-driven policy approvals process reduces the time to approve homeowners claims from 4 days to seconds, 800x faster than traditional approaches.
Lockheed achieved a 10x increase in productivity and a $20M per year cost reduction through Domino's self-service capabilities.
JOHNSON & JOHNSON/JANSSEN
10X faster development of deep learning models puts Janssen researchers one step closer to delivering precision medicine.