AT&T accelerates AI transformation and speed to market with H2O.ai, AI Feature Store - The EE

AT&T accelerates AI transformation and speed to market with H2O.ai, AI Feature Store

Mountain View and Dallas, United States – H2O.ai, the AI Cloud provider, released updates to the AI Feature Store, an integrated online computational and storage platform that gives AT&T’s data scientists a unified, reliable source of reusable features which are the building blocks for machine learning (ML) and artificial intelligence (AI).

AT&T and H2O.ai co-created and deployed the platform to AT&T’s chief data office (CDO) and then across AT&T last year. AT&T estimates AI Feature Store has improved speed to market by as much as 70%.

”Feature Store is an ideal platform for making our AI capabilities reusable and easy to access for our data scientists and citizen developers alike, and has helped integrate AI into the fabric of our business,” says Andy Markus, chief data officer at AT&T.

The announcement was made during H2O World, H2O.ai’s flagship conference, at AT&T headquarters in Dallas, TX. The event included world-class speakers including:

●      Sri Ambati, CEO and founder of H2O.ai

●      Andy Markus, chief data officer, AT&T

●      Mark Austin, vice president of data science, AT&T

●      Jenny Steffens, Hy-Vee

●      Jeremy Elster, Chipotle Mexican Grill

●      Sean Otto, the AES Corporation

●      Dan Rubenstein, Princeton University

●      Kash Patel, Hackensack Meridian Health

●      Karamjit Singh, Mastercard

●      Jolene Huang, Intuit

●      Fred Goldstein, Accountable Health, LLC

●      More than a dozen Kaggle Grandmasters (the community of machine learning practitioners and data scientists)

The fully managed AI Feature Store platform enables users to register, store, update, discover, use and share within AT&T highly curated, validated and model-ready historical and real-time features (attributes derived from raw data that predict an outcome such as churn, likelihood to buy, predicted demand, etc.) collected from throughout AT&T.

Conventional wisdom indicates data scientists and machine learning (ML) experts spend about 80% of their time generating, preparing and labeling data. That leaves only 20% of their time for the important tasks of analysing and interacting with the data to solve real-world business problems. AI Feature Store flips that breakdown of time.

In the first year of launch, the co-developed AI Feature Store addressed the complexity of data quality requirements by providing a central repository that connects information across disparate systems to bring all of an organisation’s data assets together in one place. AI Feature Store plays a key role in AI governance by ensuring that the right kind of data is only accessible to the right folks and taking care of sensitive data like PII or SPI with encryption, data masking and other technologies.

“The external version we co-developed with H2O.ai can help other companies embarking on their own AI transformations, even as the speed and complexity of the challenges they face accelerate,” says Markus. The acceleration of speed to market gives AT&T some of the most advanced AI and CDO departments in the entire country. The team was awarded a top spot by H2O.ai during the conference, which noted their strong AI program.

“AI Feature Store is another way to fuel our drive to help large enterprises transform themselves,” says Sri Ambati, CEO and founder of H2O.ai. “Our drive to enable transformation is at the heart of our mission at H2O.ai we’re here to connect the world and democratise AI across organisations so that it can have a positive impact on society.”

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