Powered by machine learning, AT&T is undertaking a data transformation journey that is helping business units identify opportunities to use information in new ways.
Since its founding 144 years ago, AT&T has reinvented itself many times to harness historic disruptive innovations such as the transistor, the communication satellite, and more recently, the solar cell. Today, the global technology, media, and telecommunications giant is reinventing itself again—this time as a pioneer in the use of machine learning (ML) to reimagine the way it finds, organizes, and uses data.
“One of the things we wanted to do was automate some of the routine cleansing and aggregation tasks that data scientists have to perform so they could focus on more sophisticated work,” says Kate Hopkins, vice president of data platforms in AT&T’s Chief Data Office. Likewise, the company wanted to develop a way to democratize meaningful data to the extent consistent with