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The Emergent Podcast with Daniel Englebretson
Daniel Englebretson is a Founder, Innovator, and Problem-solver with experience ranging Fortune 500 giants to surge-growth unicorns, and a deep-rooted empathy for lived experiences.
In this episode, he and Mike discuss the current state of AI adoption among consultants, knowledge workers, and students. He highlights the shift from doom and gloom to embracing and extending AI. The conversation explores the impact of AI on knowledge workers and the need for continuous learning and development. The potential of AI to amplify intelligence and improve productivity is discussed, along with the importance of staying up to date with evolving AI models. The conversation also touches on the future of AI, the democratization of AI tools, and the potential for AI to revolutionize everyday tasks like grocery shopping.
In this episode, he and Mike discuss the current state of AI adoption among consultants, knowledge workers, and students. He highlights the shift from doom and gloom to embracing and extending AI. The conversation explores the impact of AI on knowledge workers and the need for continuous learning and development. The potential of AI to amplify intelligence and improve productivity is discussed, along with the importance of staying up to date with evolving AI models. The conversation also touches on the future of AI, the democratization of AI tools, and the potential for AI to revolutionize everyday tasks like grocery shopping.
Takeaways
Chapters
00:00 Introduction
00:24 Embracing and Extending AI
02:08 Shift from Doom to Acceleration
03:12 The Impact on Knowledge Workers and Students
04:08 Amplifying Intelligence with AI
05:19 The Half-Life of Skills
06:30 Talent Acquisition and Retention
08:00 Turning Knowledge into AI
9:13 The Calculator Analogy
10:48 Using Unstructured Data
12:17 Scaling Knowledge Workers
14:15 Creating Scalable Workflows
17:00 The Triple Constraint
19:07 The Future of AI
23:56 Getting Started with AI
27:26 The Next Year in AI
31:26 AI-Powered Grocery Shopping
33:03 Democratizing AI
34:00 Conclusion
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By Mike McClintockDaniel Englebretson is a Founder, Innovator, and Problem-solver with experience ranging Fortune 500 giants to surge-growth unicorns, and a deep-rooted empathy for lived experiences.
In this episode, he and Mike discuss the current state of AI adoption among consultants, knowledge workers, and students. He highlights the shift from doom and gloom to embracing and extending AI. The conversation explores the impact of AI on knowledge workers and the need for continuous learning and development. The potential of AI to amplify intelligence and improve productivity is discussed, along with the importance of staying up to date with evolving AI models. The conversation also touches on the future of AI, the democratization of AI tools, and the potential for AI to revolutionize everyday tasks like grocery shopping.
In this episode, he and Mike discuss the current state of AI adoption among consultants, knowledge workers, and students. He highlights the shift from doom and gloom to embracing and extending AI. The conversation explores the impact of AI on knowledge workers and the need for continuous learning and development. The potential of AI to amplify intelligence and improve productivity is discussed, along with the importance of staying up to date with evolving AI models. The conversation also touches on the future of AI, the democratization of AI tools, and the potential for AI to revolutionize everyday tasks like grocery shopping.
Takeaways
Chapters
00:00 Introduction
00:24 Embracing and Extending AI
02:08 Shift from Doom to Acceleration
03:12 The Impact on Knowledge Workers and Students
04:08 Amplifying Intelligence with AI
05:19 The Half-Life of Skills
06:30 Talent Acquisition and Retention
08:00 Turning Knowledge into AI
9:13 The Calculator Analogy
10:48 Using Unstructured Data
12:17 Scaling Knowledge Workers
14:15 Creating Scalable Workflows
17:00 The Triple Constraint
19:07 The Future of AI
23:56 Getting Started with AI
27:26 The Next Year in AI
31:26 AI-Powered Grocery Shopping
33:03 Democratizing AI
34:00 Conclusion