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Episode #3 - Generative vs. Agentic AI: What You Need to Know
Summary
In this conversation, Steve Johnston and Mo Echout explore the transformative potential of Agentic AI and its distinction from Generative AI. They discuss how businesses can leverage these technologies to automate processes, enhance productivity, and create systems that allow for scalability. The conversation emphasizes the importance of understanding business processes, the need for continuous learning, and the potential risks associated with AI implementation. They also touch on the future of AI technologies and the necessity of creating safe environments for AI operations.
Takeaways
- Agentic AI can build a team of automated workers.
- Generative AI focuses on content creation, while Agentic AI automates tasks.
- Understanding business processes is crucial for AI implementation.
- AI can help create scalable systems for businesses.
- Continuous learning is essential in the evolving tech landscape.
- AI tools can enhance productivity and efficiency.
- Automation can replace certain jobs, necessitating upskilling.
- AI should be seen as a tool, not a replacement for human input.
- Implementing AI requires careful consideration of risks.
- The future of AI holds immense potential for business innovation.
Sound Bites
"Agentic AI is gigantic!"
"Where do I start?"
"Start learning today, not tomorrow."
Chapters
00:00 Introduction to Generative and Agentic AI
00:43 Building Systems with AI
07:20 Starting with AI: Practical Steps
09:12 Designing Control Points in AI
10:12 The Importance of Processes
12:08 The Future of AI Agents
14:22 Experimenting with AI Tools
16:05 Embracing Change in AI
18:08 The Open Source Opportunity
20:48 The Future of AI Technologies
22:59 Risk Management in AI
25:25 Proactive vs Reactive AI
27:07 Automation and Control Mechanisms
29:05 Learning and Adapting to AI
31:00 Final Thoughts on AI Implementation
ā Subscribe & hit the š to stay updated on our latest episodes!
Mo Echout ā Podcast Co-Host
Passionate about sharing insights on technology, data analytics, and generative AI. Bringing engaging conversations and expert perspectives to every episode!
Steve Johnston ā Podcast Co-Host | Digital Optimizer | Serial Entrepreneur | Ecosystem Builder
StemJee ā Strategy & Digital Solutions
Loreeya ā Online Education Platform for Entrepreneurs
View all episodes
By Steve Johnston and Mo EchoutSummary
In this conversation, Steve Johnston and Mo Echout explore the transformative potential of Agentic AI and its distinction from Generative AI. They discuss how businesses can leverage these technologies to automate processes, enhance productivity, and create systems that allow for scalability. The conversation emphasizes the importance of understanding business processes, the need for continuous learning, and the potential risks associated with AI implementation. They also touch on the future of AI technologies and the necessity of creating safe environments for AI operations.
Takeaways
- Agentic AI can build a team of automated workers.
- Generative AI focuses on content creation, while Agentic AI automates tasks.
- Understanding business processes is crucial for AI implementation.
- AI can help create scalable systems for businesses.
- Continuous learning is essential in the evolving tech landscape.
- AI tools can enhance productivity and efficiency.
- Automation can replace certain jobs, necessitating upskilling.
- AI should be seen as a tool, not a replacement for human input.
- Implementing AI requires careful consideration of risks.
- The future of AI holds immense potential for business innovation.
Sound Bites
"Agentic AI is gigantic!"
"Where do I start?"
"Start learning today, not tomorrow."
Chapters
00:00 Introduction to Generative and Agentic AI
00:43 Building Systems with AI
07:20 Starting with AI: Practical Steps
09:12 Designing Control Points in AI
10:12 The Importance of Processes
12:08 The Future of AI Agents
14:22 Experimenting with AI Tools
16:05 Embracing Change in AI
18:08 The Open Source Opportunity
20:48 The Future of AI Technologies
22:59 Risk Management in AI
25:25 Proactive vs Reactive AI
27:07 Automation and Control Mechanisms
29:05 Learning and Adapting to AI
31:00 Final Thoughts on AI Implementation
ā Subscribe & hit the š to stay updated on our latest episodes!
Mo Echout ā Podcast Co-Host
Passionate about sharing insights on technology, data analytics, and generative AI. Bringing engaging conversations and expert perspectives to every episode!
Steve Johnston ā Podcast Co-Host | Digital Optimizer | Serial Entrepreneur | Ecosystem Builder
StemJee ā Strategy & Digital Solutions
Loreeya ā Online Education Platform for Entrepreneurs