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70: AI-Ready Data Starts with Observability, Not Governance, says Elton Martins, former data leader at the NFL and Genius Sports

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Manage episode 505170842 series 3661985
Content provided by Audioboom. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Audioboom or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Elton Martins, former data leader at the NFL and Genius Sports, joins Mark Kohout to explore the rising discipline of data observability. From detecting silent failures in data pipelines to enabling AI-ready data ecosystems, Elton shares real-world lessons from scaling data platforms across industries – and explains how observability empowers teams to build trust in their data—before it powers analytics, AI, and decision-making. How can data observability organizations detect silent failures before they impact business decisions? What’s the difference between data quality management and data observability—and why does it matter for AI readiness? What should organizations consider when deciding to build or buy a data observability solution?
  continue reading

71 episodes

Artwork
iconShare
 
Manage episode 505170842 series 3661985
Content provided by Audioboom. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Audioboom or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Elton Martins, former data leader at the NFL and Genius Sports, joins Mark Kohout to explore the rising discipline of data observability. From detecting silent failures in data pipelines to enabling AI-ready data ecosystems, Elton shares real-world lessons from scaling data platforms across industries – and explains how observability empowers teams to build trust in their data—before it powers analytics, AI, and decision-making. How can data observability organizations detect silent failures before they impact business decisions? What’s the difference between data quality management and data observability—and why does it matter for AI readiness? What should organizations consider when deciding to build or buy a data observability solution?
  continue reading

71 episodes

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