The part that keeps going after we leave

A program has an end date. A community doesn't. This is the layer that decides whether the investment survives its own closing session.

Three things that make a program collective instead of individual.

Organization-wide kick-off — one moment where everyone starts together, leadership visibly on board, so it reads as a change and not as an e-learning assignment. It sets expectations across the whole organization in a way an email never will.

Data & AI Hackathon — a day where fresh skills meet real data and teams produce something that works, in a safe sandbox with your own tools. Nothing convinces a sceptic faster than a working result built by their own colleagues.

Data & AI Community — the ongoing place where people share use cases, ask questions and show what they built. It lives where your people already are, in Teams or Slack. Champions keep it running, with us in the background, and it is still running when the program is done.

1. Start loud — a kick-off with leadership visibly behind it.
2. Create moments — hackathons, workshops and graduation sessions that give people a reason to apply what they learned.
3. Build the home — a channel, a rhythm, recurring sessions.
4. Hand it over — champions and L&D take the lead, we step back. New joiners walk into something that already exists.

• A shared start moment sets expectations across the whole organization
• Events produce visible results, which is what convinces the sceptics
• The community carries the program once the formal part ends
• Learning tracks and personas stay in place, so new hires grow into the same framework from day one

A PGGM-branded Data & AI Academy for 500+ learners, with literacy goals anchored in the company OGSM and engagement driven through keynotes, cohort and community management, workshops and gamification. SHV Energy's Data & AI School, a three-year academy for colleagues around the world, launched July 2026.