Att q enterprise messenger2/9/2024 ![]() “The feature store solved a product niche for H2O.ai and helped us speed development through feature reuse across many teams and use cases at AT&T.” In an effort to streamline machine learning development across its enterprise, the company worked with H2O.ai develop the feature store, which it will use with various machine learning projects, Austin said. “We were impressed by H2O.ai’s capabilities in terms of building powerful machine learning models and deploying them, and there was a need for a solution to capture the predictive features, regardless of the pipeline that created them, in order to reuse them for different use cases, and serve them up for real-time machine learning scoring.”ĪT&T is no stranger to machine learning. “H2O.ai was a natural fit to co-develop a feature store with AT&T,” Austin told Datanami via email. ![]() Instead of starting from scratch to figure out which data features or metrics are the most important or predictive for a given machine learning project, the data scientist or ML engineer can look in the feature store to see what features worked in the past, and then re-use those features for the new application.ĪT&T worked with H2O.ai and its machine learning and AI software in the past, and its data and IT executives decided to go into business with the Mountain View, California-based in developing the feature store, according to Mark Austin, vice president of data science in AT&T Chief Data Office. The key advantage that the feature store brings to its user is the ability to re-use the various data features that data scientists have previously used in a machine learning application. ![]() The feature store is among the hottest segments in the data science market at the moment, thanks to the efficiencies they can bring to data science organizations. The jointly developed H2O AI Feature Store will be available for any company to help better manage their data science development and production efforts. Telecom giant AT&T and AI startup H2O.ai have teamed up to co-develop a feature store, which the companies announced today.
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