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How AI Agents Will Impact Businesses with Jeff Redel, Managing Director of Data & AI Governance, ATB Financial | EP 10

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Manage episode 466436565 series 3603279
Content provided by Responsible AI Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Responsible AI Institute 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://staging.podcastplayer.com/legal.

In this of the Responsible AI Report, Patrick speaks with Jeff Redel, Managing Director of the Data and AI governance team at ATB Financial. They discuss the evolution of AI agents, the importance of ethical implementation in banking, the skills financial professionals will need in the future, the necessity of human oversight in AI processes, and the regulatory challenges that accompany the rapid advancement of AI technology. Jeff emphasizes the need for a strong foundation in data governance and ethics, as well as the importance of education and adaptability for team members in the face of AI integration.
Takeaways

  • AI is evolving from simple tools to sophisticated agents.
  • Ethics and data governance are foundational for AI implementation.
  • Education and training are crucial for team members.
  • Data literacy is essential for effective AI use.
  • Human oversight is necessary for decision-making with AI.
  • AI agents improve performance but require human input.

Learn more at:
https://www.atb.com/personal/
https://www.linkedin.com/in/jeff-redel-2097291/
Jeff Redel is the Managing Director of ATB Financial’s Data & AI Governance team. His team focuses on ethical and responsible AI, data governance excellence, and strategic leadership and vision. Key areas include championing fairness and inclusivity, prioritizing transparency and explainability, upholding privacy and security, promoting responsible AI use, establishing data quality and integrity, ensuring data security and compliance, driving data literacy and accessibility, optimizing data management and architecture, aligning data and AI with business goals, fostering collaboration and communication, promoting a culture of innovation and learning, and building a high-performing team.

Support the show

Visit our website at responsible.ai

  continue reading

16 episodes

Artwork
iconShare
 
Manage episode 466436565 series 3603279
Content provided by Responsible AI Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Responsible AI Institute 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://staging.podcastplayer.com/legal.

In this of the Responsible AI Report, Patrick speaks with Jeff Redel, Managing Director of the Data and AI governance team at ATB Financial. They discuss the evolution of AI agents, the importance of ethical implementation in banking, the skills financial professionals will need in the future, the necessity of human oversight in AI processes, and the regulatory challenges that accompany the rapid advancement of AI technology. Jeff emphasizes the need for a strong foundation in data governance and ethics, as well as the importance of education and adaptability for team members in the face of AI integration.
Takeaways

  • AI is evolving from simple tools to sophisticated agents.
  • Ethics and data governance are foundational for AI implementation.
  • Education and training are crucial for team members.
  • Data literacy is essential for effective AI use.
  • Human oversight is necessary for decision-making with AI.
  • AI agents improve performance but require human input.

Learn more at:
https://www.atb.com/personal/
https://www.linkedin.com/in/jeff-redel-2097291/
Jeff Redel is the Managing Director of ATB Financial’s Data & AI Governance team. His team focuses on ethical and responsible AI, data governance excellence, and strategic leadership and vision. Key areas include championing fairness and inclusivity, prioritizing transparency and explainability, upholding privacy and security, promoting responsible AI use, establishing data quality and integrity, ensuring data security and compliance, driving data literacy and accessibility, optimizing data management and architecture, aligning data and AI with business goals, fostering collaboration and communication, promoting a culture of innovation and learning, and building a high-performing team.

Support the show

Visit our website at responsible.ai

  continue reading

16 episodes

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