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AI Agents: Tomorrow's Business Revolution

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Manage episode 508355921 series 3535718
Content provided by Kieran Gilmurray. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kieran Gilmurray 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.

The business world stands at the precipice of an AI revolution. This episode explores how AI agents - software programs that understand, reason, act, and learn autonomously - are transforming industries and creating unprecedented opportunities.

TLDR:

  • • AI agents like AutoGPT demonstrate how AI can break tasks into steps and work independently
  • • Healthcare applications include AI systems from Hippocratic AI that handle routine tasks while freeing human doctors for complex cases
  • • Retail applications feature AI personal shoppers that consider individual preferences, dietary restrictions, and even local weather
  • • Financial AI systems like Wealthfront and Betterment manage investments and are evolving toward real-time market analysis
  • • Creative AI collaborates with humans as demonstrated by the band Yacht's AI-assisted album "Chain Tripping"

Far beyond the narrow AI systems of yesterday, today's AI agents demonstrate remarkable adaptability and collaborative potential. When multiple agents work together in compound-agentic systems, they tackle challenges no single AI could manage alone - creating what we might call a symphony of intelligences.
Across healthcare, retail, finance, and creative industries, these technologies are already making their mark. Hippocratic AI assists healthcare professionals with routine tasks, allowing doctors to focus on complex cases. Amazon's Alexa evolves toward managing entire processes like dinner party planning. Financial platforms like Wealthfront optimize investments around the clock. Even artists are finding AI to be valuable collaborators, as demonstrated by the band Yacht's AI-assisted album "Chain Tripping."
The business opportunities are extraordinary—from hyper-personalized services to intelligent process automation. In Singapore, AI optimizes traffic flow in real-time, reducing travel times by 15% and emissions by 20%. Drug discovery companies like Insilico Medicine have used AI to identify promising compounds in weeks rather than years. These capabilities are enabling entirely new business models, from AI-as-a-Service platforms to outcome-based pricing that aligns incentives between providers and customers.
Yet challenges remain. Organizations must navigate ethical concerns about bias, regulatory questions about liability, and potential economic disruption as jobs evolve. As we move forward, success will belong to those who can adapt, innovate, and collaborate - not just with humans, but with the intelligent agents becoming our partners in progress.
Ready to explore how AI agents might transform your industry? Subscribe now and join the conversation about the future of business in the age of agentic AI.

📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

Support the show

𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses.
☎️ https://calendly.com/kierangilmurray/results-not-excuses
✉️ [email protected]
🌍 www.KieranGilmurray.com
📘 Kieran Gilmurray | LinkedIn
🦉 X / Twitter: https://twitter.com/KieranGilmurray
📽 YouTube: https://www.youtube.com/@KieranGilmurray
📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

  continue reading

Chapters

1. Introduction to AI Agents (00:00:00)

2. The Rise of Collaborative Intelligence (00:01:43)

3. Real-world AI Agent Applications (00:04:06)

4. The Technology Behind AI Agents (00:07:13)

5. New Business Opportunities Emerging (00:09:20)

6. Innovative Business Models (00:18:18)

7. Challenges and Ethical Considerations (00:26:46)

8. Conclusion and Future Outlook (00:29:40)

147 episodes

Artwork
iconShare
 
Manage episode 508355921 series 3535718
Content provided by Kieran Gilmurray. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kieran Gilmurray 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.

The business world stands at the precipice of an AI revolution. This episode explores how AI agents - software programs that understand, reason, act, and learn autonomously - are transforming industries and creating unprecedented opportunities.

TLDR:

  • • AI agents like AutoGPT demonstrate how AI can break tasks into steps and work independently
  • • Healthcare applications include AI systems from Hippocratic AI that handle routine tasks while freeing human doctors for complex cases
  • • Retail applications feature AI personal shoppers that consider individual preferences, dietary restrictions, and even local weather
  • • Financial AI systems like Wealthfront and Betterment manage investments and are evolving toward real-time market analysis
  • • Creative AI collaborates with humans as demonstrated by the band Yacht's AI-assisted album "Chain Tripping"

Far beyond the narrow AI systems of yesterday, today's AI agents demonstrate remarkable adaptability and collaborative potential. When multiple agents work together in compound-agentic systems, they tackle challenges no single AI could manage alone - creating what we might call a symphony of intelligences.
Across healthcare, retail, finance, and creative industries, these technologies are already making their mark. Hippocratic AI assists healthcare professionals with routine tasks, allowing doctors to focus on complex cases. Amazon's Alexa evolves toward managing entire processes like dinner party planning. Financial platforms like Wealthfront optimize investments around the clock. Even artists are finding AI to be valuable collaborators, as demonstrated by the band Yacht's AI-assisted album "Chain Tripping."
The business opportunities are extraordinary—from hyper-personalized services to intelligent process automation. In Singapore, AI optimizes traffic flow in real-time, reducing travel times by 15% and emissions by 20%. Drug discovery companies like Insilico Medicine have used AI to identify promising compounds in weeks rather than years. These capabilities are enabling entirely new business models, from AI-as-a-Service platforms to outcome-based pricing that aligns incentives between providers and customers.
Yet challenges remain. Organizations must navigate ethical concerns about bias, regulatory questions about liability, and potential economic disruption as jobs evolve. As we move forward, success will belong to those who can adapt, innovate, and collaborate - not just with humans, but with the intelligent agents becoming our partners in progress.
Ready to explore how AI agents might transform your industry? Subscribe now and join the conversation about the future of business in the age of agentic AI.

📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

Support the show

𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses.
☎️ https://calendly.com/kierangilmurray/results-not-excuses
✉️ [email protected]
🌍 www.KieranGilmurray.com
📘 Kieran Gilmurray | LinkedIn
🦉 X / Twitter: https://twitter.com/KieranGilmurray
📽 YouTube: https://www.youtube.com/@KieranGilmurray
📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

  continue reading

Chapters

1. Introduction to AI Agents (00:00:00)

2. The Rise of Collaborative Intelligence (00:01:43)

3. Real-world AI Agent Applications (00:04:06)

4. The Technology Behind AI Agents (00:07:13)

5. New Business Opportunities Emerging (00:09:20)

6. Innovative Business Models (00:18:18)

7. Challenges and Ethical Considerations (00:26:46)

8. Conclusion and Future Outlook (00:29:40)

147 episodes

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