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Thomas Blumer on The Role of AI in Business Decision-Making and Governance - The Earley AI Podcast with Seth Earley - Episode #043

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Content provided by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone 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://player.fm/legal.

Thomas Blumer is a renowned expert in AI-driven transformation with extensive experience in implementing groundbreaking artificial intelligence and knowledge strategies within complex business environments. Echoing a profound understanding of metrics-driven governance of AI systems, Thomas has made significant strides in aligning AI applications with overarching business goals. As a strategic advisor and consultant, he has facilitated diverse organizations in their journey to integrate AI to optimize efficiency, enhance user experiences, and drive actionable business outcomes. His expertise is instrumental in developing robust AI governance frameworks that ensure data, algorithms, and knowledge are in strict adherence to driving value and enterprise strategy.
Key takeaways:

- Defining and measuring KPIs tailored to customer and user lifecycle is crucial to drive business outcomes with AI and knowledge systems.

- The transition from proof of concept to proof of value in AI implementations often encounters hurdles due to artificial environments and upstream data issues.

- AI's implementation should focus on improving specific tasks and processes, ensuring tangible improvements rather than the technology's mere presence.

- Storytelling and emotional resonance play a pivotal role when data alone does not suffice in persuading stakeholders about AI initiatives.

- Governance structures need to strike a balance between centralized standards and decentralized, data-driven decision making.

- Large language models have brought about a revolution in accessing corporate knowledge and productivity, highlighting the need for responsible usage.

Quote of the show:
"Bringing AI into the fold isn't just about technology; it’s about shaping an ecosystem that thrives on data integrity, governance, and context to create impactful narratives."
- Thomas Blumer
Links:

Ways to Tune In:

Thanks to our sponsors:

  continue reading

48 episodes

Artwork
iconShare
 
Manage episode 409301954 series 2984858
Content provided by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone 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://player.fm/legal.

Thomas Blumer is a renowned expert in AI-driven transformation with extensive experience in implementing groundbreaking artificial intelligence and knowledge strategies within complex business environments. Echoing a profound understanding of metrics-driven governance of AI systems, Thomas has made significant strides in aligning AI applications with overarching business goals. As a strategic advisor and consultant, he has facilitated diverse organizations in their journey to integrate AI to optimize efficiency, enhance user experiences, and drive actionable business outcomes. His expertise is instrumental in developing robust AI governance frameworks that ensure data, algorithms, and knowledge are in strict adherence to driving value and enterprise strategy.
Key takeaways:

- Defining and measuring KPIs tailored to customer and user lifecycle is crucial to drive business outcomes with AI and knowledge systems.

- The transition from proof of concept to proof of value in AI implementations often encounters hurdles due to artificial environments and upstream data issues.

- AI's implementation should focus on improving specific tasks and processes, ensuring tangible improvements rather than the technology's mere presence.

- Storytelling and emotional resonance play a pivotal role when data alone does not suffice in persuading stakeholders about AI initiatives.

- Governance structures need to strike a balance between centralized standards and decentralized, data-driven decision making.

- Large language models have brought about a revolution in accessing corporate knowledge and productivity, highlighting the need for responsible usage.

Quote of the show:
"Bringing AI into the fold isn't just about technology; it’s about shaping an ecosystem that thrives on data integrity, governance, and context to create impactful narratives."
- Thomas Blumer
Links:

Ways to Tune In:

Thanks to our sponsors:

  continue reading

48 episodes

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