H2O.ai Tabular Services

This video marks the beginning of a series introducing our suite of H2O Cloud AI Developer Services.
The H2O AI cloud offers a suite of services designed to assist software engineers, data engineers, and AI developers in building, automating, monitoring, and sharing AI within their organizations.
During this video, you will see a walkthrough of using H2O's AutoML services for tabular use cases, demonstrating steps from data visualization to model training, interpretation, and deployment using H2O MLOps. Here's an overview of what H2O offers in terms of tabular services:
Accessibility: Services are accessible regardless of the developer's location, whether hosted on-premises or as a fully managed solution.
AutoML with Driverless AI: Streamlines model building through automated processes like data visualization, optimization, customization, and scoring pipeline creation.
Scalability: AI engine instances can be scaled to accommodate varying model sizes and types.
Data Connectivity: Users can easily connect and upload data from multiple sources such as S3 Amazon buckets, H2O Drive, Snowflake, or H2O Feature Store.
Overall, we aim the video aims to showcase how H2O AI cloud and its services can empower AI developers in efficiently building and deploying AI solutions within their organizations.