One year ago, AT&T, the world’s largest telecom company by revenue, announced a collaboration with AI cloud company H2O to jointly launch an artificial intelligence (AI) feature store for enterprises. This paid software platform enables data scientists, developers and engineers to discover, share and reuse machine learning (ML) features to speed up their AI project deployments.
Since then, the feature store has become a key part of AT&T’s vision of scaling its own AI efforts across the organization, and to “truly integrate data and AI into the core fabric of how we run the business,” Andy Markus, AT&T’s chief data officer, told VentureBeat.
Markus, who joined AT&T in February 2020 after nearly two decades in roles at media companies such as Turner and Warner Media, said the company carries more than 543.7 petabytes of data across its global network. To manage AT&T’s data and AI at this level of scale, it has defined a common approach on how data is stored, managed, accessed and shared across the company.
The company relies on its Chief Data Office (CDO), he said, to set AT&T’s “North Star for data, analytics, and AI excellence.” Its mission is to harness, share and catalyze insights from the company’s massive data stores and to transform and modernize AT&T’s data platforms, data supply chain and data science ecosystem.
Continue reading At AT&T, AI is becoming part of “core fabric,” says chief data officer on VentureBeat
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