L&D Mar 2026 Day 1

How generative AI and intelligent agents can co-create learning with employees, delivering tailored content, coaching, and insights that evolve as learners grow, increasing engagement and speeding up capability building.

Leveraging data from performance, assessments, and behavior to dynamically adapt learning paths — enabling personalised, just-in-time interventions that support continuous growth and close critical skills gaps.

Use virtual and augmented reality to simulate real-life business scenarios, enabling employees to practice high-risk tasks in a safe environment and accelerate competency development through experiential learning.

Embedding microlearning, performance support, and just-in-time resources directly into employees’ workflows to ensure learning is seamless, relevant, and immediately applicable, boosting productivity and retention.

Designing game-based experiences that drive intrinsic motivation, simulate business challenges, and reward mastery — helping learners internalise complex skills and behaviours in a fun, measurable way.

JP Van Zittert (CPsychol, AFBPsS, RS)

Building communities of practice, peer coaching, and knowledge-sharing networks that leverage social dynamics to scale collective learning, encourage collaboration, and democratise expertise across the organization.

Building dashboards that combine business KPIs, learning metrics, and learner behavior to demonstrate the impact of L&D investments and drive data-informed decision-making at executive level.