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Ethical AI and Data Governance | Protecting Your Business from Data Compliance Nightmares

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Manage episode 495669811 series 3678766
Content provided by Chris Gambill | Gambill Data. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Chris Gambill | Gambill Data 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.

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Join me live as we dive into “Ethical AI and Data Governance” ... why your data quality isn’t just a technical checkbox but an ethical imperative. We’ll unpack real‐world failures (from biased hiring tools to misconfigured AI inspections), explore the three pillars of governance (Transparency, Accountability, Fairness), and walk through a sample KPI dashboard you can implement today. Tune in for practical tips, interactive Q&A, and ready-to-use strategies to protect your business from costly mistakes and reputational risk.
Missed this week's videos? Check out what has been going on at Gambill Data:
Data Engineering 101: Building Resilient Pipelines | https://youtu.be/H8kcMSaPHyY
GIGO Explained: How Data Teams Build Trust With Data Quality | https://youtu.be/K2Td1j9Otv8
Schema Drift: What it is and How It Is Ruining Your Pipelines! https://youtu.be/CrGJTYQ8PVE
Download the Data Quality Testing Checklist: https://www.gambilldataengineering.com/business-templates
Working on creating resilient self-healing pipelines and want to talk?
Schedule a call with me: https://calendly.com/chris-gambill-gambilldataengineering

Chris Gambill is a data engineering consultant and educator with 25+ years of experience helping organizations modernize their data stacks. As founder of Gambill Data, he specializes in data strategy, cloud migration, and building resilient analytics platforms for mid-market and enterprise clients. He’s passionate about making real-world data engineering accessible.

Connect with Chris on LinkedIn or learn more at gambilldata.com.

  continue reading

27 episodes

Artwork
iconShare
 
Manage episode 495669811 series 3678766
Content provided by Chris Gambill | Gambill Data. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Chris Gambill | Gambill Data 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.

Send us a text

Join me live as we dive into “Ethical AI and Data Governance” ... why your data quality isn’t just a technical checkbox but an ethical imperative. We’ll unpack real‐world failures (from biased hiring tools to misconfigured AI inspections), explore the three pillars of governance (Transparency, Accountability, Fairness), and walk through a sample KPI dashboard you can implement today. Tune in for practical tips, interactive Q&A, and ready-to-use strategies to protect your business from costly mistakes and reputational risk.
Missed this week's videos? Check out what has been going on at Gambill Data:
Data Engineering 101: Building Resilient Pipelines | https://youtu.be/H8kcMSaPHyY
GIGO Explained: How Data Teams Build Trust With Data Quality | https://youtu.be/K2Td1j9Otv8
Schema Drift: What it is and How It Is Ruining Your Pipelines! https://youtu.be/CrGJTYQ8PVE
Download the Data Quality Testing Checklist: https://www.gambilldataengineering.com/business-templates
Working on creating resilient self-healing pipelines and want to talk?
Schedule a call with me: https://calendly.com/chris-gambill-gambilldataengineering

Chris Gambill is a data engineering consultant and educator with 25+ years of experience helping organizations modernize their data stacks. As founder of Gambill Data, he specializes in data strategy, cloud migration, and building resilient analytics platforms for mid-market and enterprise clients. He’s passionate about making real-world data engineering accessible.

Connect with Chris on LinkedIn or learn more at gambilldata.com.

  continue reading

27 episodes

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