STEAM streamlines the entire process of building smart applications by providing a single turnkey solution that packages all underlying components into one easy-to-deploy piece of technology. Elastic computing to allow data scientists to train on massive datasets on expandable clusters. Model management to share, collaborate and compare different model metrics. Streamline the entire process by providing an integrated hub that packages all underlying components into one easy-to-deploy piece of technology. #h2ony - Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai - To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata

1. CONFIDENTIAL
Bill Gallmeister
Magnus Stensmo
July 19, 2016
steam

2. Steam: Data Science hub to BUILD and SCALE Smart Data Products
A collaborative environment that brings data scientists, DevOps, and developers
together by providing an end-to-end workflow for operationalizing models
Improve:
• Collaboration between Data Scientists: model library, leaderboard, and
comparisons
• Resource Utilization: Cluster management and usage monitoring
• Deployment of chosen models
Let Data Scientists be Data Scientists!

3. Steam Alpha available NOW
• ElasticML for Cluster management
• Deployment automation: REST API, bulk, in-app
• Model library
• http://www.h2o.ai/steam
Steam Beta: 8/10
• Project-based model collaboration
• Model leaderboard and comparison
Roadmap
• Simplified model creation
• ElasticML Cluster usage monitoring
• ElasticML Additional Cluster management and Deployment options
• Enhanced Model Leaderboard and Visualizations

4. Demo