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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

Data: Heaven or Hell? (Adastra Podcast)

Listen to Adastra’s podcast dedicated to the latest trends in data management, AI, and analytics.

This engaging podcast series showcases the visionaries reshaping the tech landscape. Featuring strategic leaders and boardroom heroes who persuade decision-makers to back new technologies, each episode dives into stories of ambition, innovation, and collaboration.

Join us to witness the evolution of technology across various sectors.

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?

<ul>
<li>How can data observability organizations detect silent failures before they impact business decisions? </li>
<li>What’s the difference between data quality management and data observability—and why does it matter for AI readiness? </li>
<li>What should organizations consider when deciding to build or buy a data observability solution? </li>
</ul>Learn more about the solution: <a href="https://adastracorp.com/ai-ready-data/">AI-ready data</a>

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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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