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A tartalmat a Kieran Gilmurray biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Kieran Gilmurray vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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AI Agents: The New Workplace Partners

15:35
 
Megosztás
 

Manage episode 506900883 series 3535718
A tartalmat a Kieran Gilmurray biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Kieran Gilmurray vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Artificial intelligence has undergone a remarkable evolution, but agentic AI represents something truly transformative – autonomous systems that make decisions and take actions with minimal human oversight. This technology goes far beyond traditional automation to deliver something more akin to a collaborative partner than a simple tool.

TLDR:

  • Agentic AI operates autonomously, making decisions without direct human control while adapting to new information in real-time
  • Traditional RPA follows pre-programmed rules while agentic AI makes independent decisions based on goals
  • Some agentic systems incorporate "humans in the loop" for critical decisions, while others function completely autonomously
  • Applications span industries including healthcare (diagnosis assistance), finance (fraud detection), HR (recruitment), and customer support (advanced chatbots)

What makes agentic AI revolutionary is its ability to adapt to unforeseen circumstances while pursuing defined goals.

Unlike Robotic Process Automation (RPA) which follows strict rules, or generative AI which creates content, agentic systems actively engage with their environment, anticipate needs, and independently navigate complex scenarios.

The distinction becomes clear when examining practical applications: an AI-driven investment advisor autonomously adjusting portfolios based on market predictions, or an underwater exploration vehicle making real-time navigation decisions in extreme environments where human intervention isn't possible.
The business implications are profound across sectors. For example,

  • Healthcare organizations implement AI that analyzes patient data while keeping doctors in the decision loop.
  • Financial institutions deploy systems that continuously monitor for fraud patterns.
  • HR departments leverage AI agents to transform recruitment, while customer support teams employ advanced conversational bots that learn from every interaction.

Companies including Oracle, Workday, and Salesforce are already deploying these capabilities to drive competitive advantage. However, successful implementation requires more than technology adoption – it demands fundamentally rethinking business processes and addressing important ethical considerations around data privacy, bias, and accountability.

For organizations willing to embrace this transformation thoughtfully, agentic AI offers unprecedented opportunities to enhance human capabilities, drive efficiency, and lead innovation in a rapidly evolving landscape. How will your organization harness this powerful new technology?

If you enjoyed this chapter then why not buy the book on Amazon or the audio book on Audible.com?

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

Fejezetek

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

2. Agentic AI vs Traditional Automation (00:02:27)

3. Agentic vs Generative AI Explained (00:04:04)

4. Human Oversight vs Full Autonomy (00:06:28)

5. Business Applications Across Industries (00:10:25)

6. Future Potential and Ethical Considerations (00:13:37)

141 epizódok

Artwork
iconMegosztás
 
Manage episode 506900883 series 3535718
A tartalmat a Kieran Gilmurray biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Kieran Gilmurray vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Artificial intelligence has undergone a remarkable evolution, but agentic AI represents something truly transformative – autonomous systems that make decisions and take actions with minimal human oversight. This technology goes far beyond traditional automation to deliver something more akin to a collaborative partner than a simple tool.

TLDR:

  • Agentic AI operates autonomously, making decisions without direct human control while adapting to new information in real-time
  • Traditional RPA follows pre-programmed rules while agentic AI makes independent decisions based on goals
  • Some agentic systems incorporate "humans in the loop" for critical decisions, while others function completely autonomously
  • Applications span industries including healthcare (diagnosis assistance), finance (fraud detection), HR (recruitment), and customer support (advanced chatbots)

What makes agentic AI revolutionary is its ability to adapt to unforeseen circumstances while pursuing defined goals.

Unlike Robotic Process Automation (RPA) which follows strict rules, or generative AI which creates content, agentic systems actively engage with their environment, anticipate needs, and independently navigate complex scenarios.

The distinction becomes clear when examining practical applications: an AI-driven investment advisor autonomously adjusting portfolios based on market predictions, or an underwater exploration vehicle making real-time navigation decisions in extreme environments where human intervention isn't possible.
The business implications are profound across sectors. For example,

  • Healthcare organizations implement AI that analyzes patient data while keeping doctors in the decision loop.
  • Financial institutions deploy systems that continuously monitor for fraud patterns.
  • HR departments leverage AI agents to transform recruitment, while customer support teams employ advanced conversational bots that learn from every interaction.

Companies including Oracle, Workday, and Salesforce are already deploying these capabilities to drive competitive advantage. However, successful implementation requires more than technology adoption – it demands fundamentally rethinking business processes and addressing important ethical considerations around data privacy, bias, and accountability.

For organizations willing to embrace this transformation thoughtfully, agentic AI offers unprecedented opportunities to enhance human capabilities, drive efficiency, and lead innovation in a rapidly evolving landscape. How will your organization harness this powerful new technology?

If you enjoyed this chapter then why not buy the book on Amazon or the audio book on Audible.com?

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

Fejezetek

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

2. Agentic AI vs Traditional Automation (00:02:27)

3. Agentic vs Generative AI Explained (00:04:04)

4. Human Oversight vs Full Autonomy (00:06:28)

5. Business Applications Across Industries (00:10:25)

6. Future Potential and Ethical Considerations (00:13:37)

141 epizódok

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