Developing Data and AI Talent in High Maturity Organisations

Join an exclusive peer discussion for senior data and AI leaders.

This small-group session offers a confidential space for senior professionals to exchange insights, share challenges, and learn from one another. While the session is designed exclusively for DataIQ clients, we occasionally welcome select guests who bring valuable perspectives to the conversation.

DataIQ clients: Please secure your place via the DataIQ Hub.

──────────────────

Questions:  

  • How are organisations ensuring their practitioners’ skills and capabilities evolve and upskill quickly enough to keep pace with the rapid rate of change in AI? 
  • Which new skills and capabilities are emerging, and which will be the most critical for practitioners in the coming years? 
  • In response to the evolving AI landscape, how are organisations adapting job frameworks, career pathways, and skills models? 

Who should attend:  

This session is designed for senior data leaders who:    

  • Are responsible for shaping their organisations data, AI and capability-building strategies and;  
  • Operate in regulated organisations with high data maturity 

──────────────────

Accelerator format:

These are 60-minute panel discussion type events, that allow up to 10 participants to work through a set of questions from the host participant. We curate every panel to ensure the right working group is in place to provide ideas, suggestions and perspectives towards the case. 

In each session you can expect:

  • Prequalified group of experts in the area
  • A round of introductions to each participant (up to 10 people)
  • An in-depth discussion with inputs from cross-industry participants
  • Concrete take-aways and action plan for moving forward

──────────────────

How to apply if you are not a client:

If you are currently not subscribed to the DataIQ service, but would like to join this session, you can apply to be considered for participation by filling in the form below.

DataIQ clients: Please secure your place via the DataIQ Hub.

Request attendance

Local Time

  • Timezone: Europe/London
  • Date: 28 Jul 2026
  • Time: 3:00pm - 4:00pm