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The Learning Experience Ops Show is a series of real conversations with the people building and running the systems that make learning work—across higher education, K–12, healthcare, clean energy, corporate L&D, and beyond.
Each episode explores how learning teams are adapting to massive change: what’s working, what’s breaking, and what’s next. Guests share their strategies, tools, and stories from the front lines of Learning Experience Operations (LX Ops)—the evolving discipline where design, technology, and organizational systems meet.
At its core, the show is about one big idea: learning gets better when it’s built on a clear, repeatable process that’s ready for whatever comes next.
Episodes
24 hours ago
24 hours ago
Summary
In this episode of the Learning Experience Ops show, Jason Gorman interviews Jonathan Thayer, Chief Data and AI Architect at K2 United. They discuss Jonathan's extensive career in e-learning and AI, the challenges and opportunities presented by AI in the workplace, and the importance of agile methodologies in integrating AI into business processes. Jonathan shares insights on the evolving role of AI, the significance of data access, and the need for governance in AI applications. He also emphasizes the importance of hands-on experience with AI and the value of interpersonal communication in navigating the complexities of AI transformation.
Takeaways
- AI is rapidly changing the landscape of work, presenting both opportunities and challenges.
- The creative aspects of work may be significantly impacted by AI.
- Adopting agile methodologies can enhance project management and adaptability.
- Citizen developers can leverage AI tools without needing extensive programming knowledge.
- Monitoring AI performance is essential for ensuring quality and effectiveness.
- AI can assist in automating both structured and unstructured tasks.
- Data access is a critical factor in realizing the value of AI.
- There is no single solution for AI integration; a combination of tools is necessary.
- Passive observation can provide insights into the effectiveness of AI implementations.
- Hands-on experience with AI is crucial for understanding its capabilities and limitations.
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