Summary

In this episode, Gary Marra and Chris Hood delve into the concept of Agentic AI, exploring its definitions, misconceptions, and the reality versus the hype surrounding it. They discuss the importance of prompts in AI functionality, the distinction between agentic AI and automation, and the current state of AI applications. The conversation emphasizes the need for realistic expectations regarding AI's capabilities and the future of technology in this space.

Takeaways

• Agentic AI is often misunderstood and misrepresented.
• Claims about agentic AI are often exaggerated.
• Agentic AI is more about facilitating actions than true intelligence.
• Current AI applications are largely automation, not agentic AI.
• The hype surrounding agentic AI is ahead of its actual capabilities.
• AI should not replace human empathy in customer interactions.
• Real-world applications of agentic AI are still in development.
• The future of agentic AI is promising but requires technological advancements.
• Understanding the difference between automation and agentic AI is crucial.

Chapters

01:07 Introduction to Chris Hood and Agentic AI

03:52 Basic Background and seeing through the hype

05:31 Definitions and Confusions Agentic AI vs. Automation vs Autonomy

11:02 Agentic AI vs. Automation vs Autonomy: Prompts & What's the Difference?

11:21 Debating the usefulness of Real-World Applications of Agentic AI

20:39 Customer First, Technology Last, AI Maybe

25:10 Current Real World Examples, Do they exist?

28:38 The Difference Between Automation, Agents, and Agentic

31:45 Current State and The Outlook for the near future

🔗 Connect with Chris Hood

• 📖 Book: Infailible: Harnessing the Power of Failure in Digital Business
• 🌐 Website: https://chrishood.com/
• 📱 LinkedIn: chrishood
• 🐦 Twitter: @ChrisHood

🔗 Connect with Gary Marra:

·       LinkedIn:                    https://www.linkedin.com/in/gary-marra/

·       Marra CX Hub:           https://marracxhub.com/

·       YouTube:                    YCYS YouTube Page