
AI and Knowledge Management with Derek Crager
Failed to add items
Add to basket failed.
Add to Wish List failed.
Remove from Wish List failed.
Follow podcast failed
Unfollow podcast failed
-
Narrated by:
-
By:
About this listen
In this episode of Definitely Maybe Agile, Peter Maddison and David Sharrock are joined by Derek Crager, a seasoned engineer turned AI entrepreneur who shares his journey from blue-collar work to building AI-powered knowledge management solutions. Derek discusses how AI is transforming workplace onboarding, knowledge transfer, and personal productivity, drawing parallels between today's AI revolution and the early days of the internet.
Derek brings a practical perspective on implementing AI in enterprise environments, focusing on his company's voice-powered AI assistant "Pocket Mentor" that helps organizations capture tribal knowledge and streamline employee onboarding. The conversation explores the challenges of extracting expertise from subject matter experts, the importance of having clear business outcomes when adopting AI, and advice for students navigating career choices in an AI-driven world.
Key Takeaways:
- Focus on Business Outcomes Over Buzzwords - Don't implement AI just to check a box or follow trends. Instead, identify specific business problems (like inefficient onboarding or knowledge retention) and then explore how AI can provide practical solutions to those challenges.
- AI Excels at Knowledge Augmentation and Accessibility - AI's greatest strength lies in making organizational knowledge instantly accessible 24/7, without judgment, and at a consistent quality level. This is particularly valuable for onboarding new employees and capturing tribal knowledge from subject matter experts before it walks out the door.
- Take Time to Learn and Evaluate Before Jumping In - The AI wave mirrors the early internet adoption curve and will continue evolving over the next 10-15 years. Organizations and individuals have time to thoughtfully evaluate AI solutions rather than rushing to adopt the first available option, emphasizing the importance of learning practical applications before implementation.