Every session ends with one verdict: adopt, wait, or ignore. Pick a stage, or read the whole day end to end.
A tech visionary's view on where AI is actually heading — and what that means for how organizations learn.
The EU AI Act reality check. L&D is quietly sitting on high-risk use cases.
The data side. Where your prompts and learner data really go.
A provocation on formats. If content is generated on demand, what survives?
How a global biopharma is rewiring its learning function around AI — strategy, structure, and the hard parts.
A keynote on the productivity gains people actually capture — and the habits that make AI stick beyond the first week.
Skills intelligence and AI-inferred skills graphs — and the honest gap between the deck and the reality.
Running AI across ~100k employees: what an industrial-scale CTO worries about, and what he tells his board.
Frontline staff rehearsing high-stakes confrontations with AI avatars — with measurable behaviour change.
How a fast-moving tech company assembled a modern, lean L&D stack — and what got cut.
Retrieval over internal documentation as performance support in the flow of work.
The operational story behind simulation training — governance, rollout, and the unglamorous work between.
Rapid content generation in practice: brand voice, review workflow, quality assurance.
Leadership and manager coaching delivered through AI — and the honest line on the human in the loop.
A single practitioner walking through a failed rollout. On purpose, mid-afternoon.
A deliberately mixed panel, sceptic included. The room argues it out.
Hands-on session: leave with concrete prompts, workflows and shortcuts you can use tomorrow.
The headline workshop. Everyone walks out with something that runs.
From a single learning objective to a finished interactive unit, built live.
Turning a fuzzy brief into reliable, on-brand, repeatable output.
A no-code assistant grounded in your own materials, ready for Monday morning.
Hands-on: map your current tools, identify what to replace, and sketch your own lean learning stack.
Scenario design, character, feedback rubric — then make it talk back.
Bring a real use case, leave with a completed risk register.
Use AI to actually measure impact, instead of reporting completion rates.
Script to talking-head module in a single session.