AT&T CDO: Harnessing Data and AI to Enhance Business Value

An opinion piece by the chief data officer of AT&T, one of the largest telecom companies in the world.

Andy Markus

August 15, 2022

3 Min Read
AT&T CDO: Harnessing data and AI to enhance business value
AT&T CDO: Harnessing data and AI to enhance business valueAT&T CDO: Harnessing data and AI to enhance business value

Since helping to pioneer artificial intelligence in the 1950s, AT&T has been shaping machine learning (ML) and AI technologies for decades. This innovation continues at AT&T, guided by the Chief Data Office (CDO) team as the North Star for data, analytics and AI strategies and implementation.

As one of the world’s leading modern communications and technology companies, AT&T carries more than 534.7 petabytes of data across its global network every day. To manage data at this scale, the CDO team has defined a common approach to how data is stored, managed, accessed and shared across AT&T.  

We established a ‘single version of truth’ for each defined data product so people are not using different sets of data on the same projects and coming up with conflicting answers to the same questions. We created a common data catalog for data findability, and implement data quality checks and security patterns across the data pipelines. In addition, we established a data governance council that includes all core data user groups across the firm to get and stay aligned on this common approach to data. 

This discipline enables our CDO team, hand in hand with our business partners across the firm, to harness this massive flow of data to help solve a diverse array of AT&T’s most technically challenging problems.

As one of the world’s leading modern communications and technology companies, AT&T carries more than 534.7 petabytes of data across its global network every day. To manage data at this scale, the CDO team has defined a common approach to how data is stored, managed, accessed and shared across AT&T.  

We established a ‘single version of truth’ for each defined data product so people are not using different sets of data on the same projects and coming up with conflicting answers to the same questions. We created a common data catalog for data findability, and implement data quality checks and security patterns across the data pipelines. In addition, we established a data governance council that includes all core data user groups across the firm to get and stay aligned on this common approach to data. 

This discipline enables our CDO team, hand in hand with our business partners across the firm, to harness this massive flow of data to help solve a diverse array of AT&T’s most technically challenging problems.

We established a ‘single version of truth’ for each defined data product so people are not using different sets of data on the same projects and coming up with conflicting answers to the same questions. We created a common data catalog for data findability, and implement data quality checks and security patterns across the data pipelines. In addition, we established a data governance council that includes all core data user groups across the firm to get and stay aligned on this common approach to data. 

As one of the world’s leading modern communications and technology companies, AT&T carries more than 534.7 petabytes of data across its global network every day. To manage data at this scale, the CDO team has defined a common approach to how data is stored, managed, accessed and shared across AT&T.  

We established a ‘single version of truth’ for each defined data product so people are not using different sets of data on the same projects and coming up with conflicting answers to the same questions. We created a common data catalog for data findability, and implement data quality checks and security patterns across the data pipelines. In addition, we established a data governance council that includes all core data user groups across the firm to get and stay aligned on this common approach to data. o manage data at this scale, the CDO team has defined a common approach t how data is stored, managed, accessed and shared across AT&T

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