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Understanding AI Challenges and Opportunities in Financial Decision-Making with Jon Brewton

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Manage episode 458826683 series 3573934
Content provided by Glenn Hopper & Paul Barnhurst, Glenn Hopper, and Paul Barnhurst. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Glenn Hopper & Paul Barnhurst, Glenn Hopper, and Paul Barnhurst 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 episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper talk about the role of artificial intelligence and high-stakes industries, including finance, energy, and defense. Guest Jon Brewton shares how his company is leading the charge in explainable and traceable AI solutions.

Jon Brewton is the founder and CEO of Data Squared, a service-disabled veteran owned business at the forefront of generative AI solutions. With a history of impactful roles at BP and Chevron, Jon’s expertise combines technology innovation and operational efficiency. His work emphasizes AI solutions that prioritize traceability, explainability, and reliability.

In this episode, you will learn:

  • How AI traceability and explainability are transforming finance and other industries.
  • The significance of knowledge graphs and Graph Rag techniques in financial data.
  • The challenges of AI hallucinations and how to mitigate them in critical applications.
  • Practical strategies for integrating AI and advanced analytics into financial workflows.
  • Jon’s personal journey from the military to pioneering cutting-edge AI solutions.

Jon Brewton explains the importance of traceability and explainability and the transformative potential of knowledge graphs and advanced analytics. He shares practical tips and approaches that financial professionals can adopt today.

Follow Jon:

LinkedIn: https://www.linkedin.com/in/jon-brewton-datasquared/

Website: https://www.data2.ai/

Join hosts Glenn and Paul as they unravel the complexities of AI in finance:

Follow Glenn:

LinkedIn: https://www.linkedin.com/in/gbhopperiii

Follow Paul:

LinkedIn: https://www.linkedin.com/in/thefpandaguy

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai.

Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.

In Today’s Episode:

[00:05] - Introduction to Jon Brewton

[01:41] - Founding Data Squared

[04:58] - Why Traceability Matters in AI

[10:07] - Generative AI in High-Stakes Industries

[12:10] - Role of Knowledge Graphs

[18:11] - Linking Financial Data

[20:38] - Addressing AI Hallucinations

[27:36] - Starting with AI in Finance

[32:00] - Personal Reflections

[35:05] - Closing Thoughts

  continue reading

41 episodes

Artwork
iconShare
 
Manage episode 458826683 series 3573934
Content provided by Glenn Hopper & Paul Barnhurst, Glenn Hopper, and Paul Barnhurst. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Glenn Hopper & Paul Barnhurst, Glenn Hopper, and Paul Barnhurst 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 episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper talk about the role of artificial intelligence and high-stakes industries, including finance, energy, and defense. Guest Jon Brewton shares how his company is leading the charge in explainable and traceable AI solutions.

Jon Brewton is the founder and CEO of Data Squared, a service-disabled veteran owned business at the forefront of generative AI solutions. With a history of impactful roles at BP and Chevron, Jon’s expertise combines technology innovation and operational efficiency. His work emphasizes AI solutions that prioritize traceability, explainability, and reliability.

In this episode, you will learn:

  • How AI traceability and explainability are transforming finance and other industries.
  • The significance of knowledge graphs and Graph Rag techniques in financial data.
  • The challenges of AI hallucinations and how to mitigate them in critical applications.
  • Practical strategies for integrating AI and advanced analytics into financial workflows.
  • Jon’s personal journey from the military to pioneering cutting-edge AI solutions.

Jon Brewton explains the importance of traceability and explainability and the transformative potential of knowledge graphs and advanced analytics. He shares practical tips and approaches that financial professionals can adopt today.

Follow Jon:

LinkedIn: https://www.linkedin.com/in/jon-brewton-datasquared/

Website: https://www.data2.ai/

Join hosts Glenn and Paul as they unravel the complexities of AI in finance:

Follow Glenn:

LinkedIn: https://www.linkedin.com/in/gbhopperiii

Follow Paul:

LinkedIn: https://www.linkedin.com/in/thefpandaguy

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai.

Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.

In Today’s Episode:

[00:05] - Introduction to Jon Brewton

[01:41] - Founding Data Squared

[04:58] - Why Traceability Matters in AI

[10:07] - Generative AI in High-Stakes Industries

[12:10] - Role of Knowledge Graphs

[18:11] - Linking Financial Data

[20:38] - Addressing AI Hallucinations

[27:36] - Starting with AI in Finance

[32:00] - Personal Reflections

[35:05] - Closing Thoughts

  continue reading

41 episodes

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