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Practical applications and strategic insights

Practical applications and strategic insights | News Blog

In Part 2 of this special podcast, experts Fiona Leteney of Fosway Group and John Kannapell of CYPHER Learning discuss how AI is disrupting traditional skills development and training with the help of advanced platforms.

What you’ll learn in Part 2

  • Efficient content mapping: AI automates the tagging and alignment of learning materials with specific skills, reducing manual effort and ensuring that training content is more relevant and timely.
  • Improved usability: AI enhances the user experience by making learning systems more intuitive and accessible. This increased usability helps make training resources available to a wider audience, facilitating more effective learning.
  • Personalized learning: AI analyzes individual performance and identifies skill gaps to tailor learning experiences. This personalized approach addresses specific development needs, leading to more impactful training outcomes.

AI offers significant benefits for learning and development, but ensuring a smooth integration requires attention to a few key considerations. Here are some essential aspects to consider:

Things to keep in mind

  • Start with small-scale pilots: Testing AI on a smaller scale helps address potential issues like pilot fatigue and integration challenges before a full rollout. This approach allows for a smoother implementation and refinement of AI applications.
  • Ensure data quality: Accurate and high-quality data is essential for effective AI performance in tasks like content tagging and skill mapping. Reliable data improves the efficiency of AI and enhances the overall learning process.
  • Monitor and adjust: Continuously oversee AI systems to ensure they align with organizational needs and improve usability. Be ready to make adjustments based on feedback to maintain effective and relevant training solutions.
  • Plan for integration: Consider how AI will fit with existing systems to address integration challenges. Proper planning ensures a seamless transition and minimizes disruptions in learning and development (L&D) workflows.
  • Train your team: Equip your team with the skills to use and manage AI tools effectively. Training enhances the usability of AI systems, helping L&D professionals and learners make the most of the new technology.

Learn about these critical aspects and beyond with us in Part 2 of our podcast series on AI and skills development:

Part 2: Practical applications and strategic insights
25:57

Other posts in this series