In this episode of the Learning While Working Podcast, Kayvon Touran shares the transformative potential of AI in skill management. Tune in as we unpack the pivotal role of context in making skill frameworks effective and the innovative ways AI can address the nuances of managing skills within organisations. Kayvon also reveals how AI can streamline data collection and enhance skill assessments through dynamic simulations.
About Kayvon Touran
Kayvon Touran is the CEO and co-founder of Zal.ai. Kayvon has spent his entire career working in early stage technology startups, and most recently as a product leader in education technology where he created and implemented a next generation lifelong learning platform for higher education institutions.
Key takeaways:
- Context is king: Generic skill definitions won’t cut it. Kayvon shares how customised, context-specific skills frameworks are essential for genuinely impactful training.
- AI as a powerful tool: Artificial intelligence can streamline the collection and analysis of skill data, helping to distil massive amounts of information into actionable insights.
- Practice and personalisation: Realistic, role-specific simulation-based training can elevate employee performance. Explore AI-driven, practice-based assessments to provide dynamic, tailored feedback and training opportunities.
Chapters:
- (00:00:00) Introduction
- (00:03:15) Data analysis for actionable insights at organisational level.
- (00:07:34) Passion for skills transformation in organisations.
- (00:09:50) Importance of generative AI in product development.
- (00:14:51) How to use AI to summarise skill definitions from the web.
- (00:18:21) Having personalised dynamic training for durable skills, performance-based.
- (00:22:23) Why is context crucial for effective skill training?
Links from the podcast