All Day Peer Exchange

DataIQ In Person Peer Exchanges bring together a carefully curated group of data and AI professionals to learn, discuss and deep dive into the most prominent topics in data and AI today. 

The subject for this peer exchange will be announced later this year.

DataIQ clients: Access and register for the upcoming events via the DataIQ Hub.

Why Attend?

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Hear practical case studies exploring how leaders in data and AI approach critical topics today.

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Exchange with a pre-qualified group of data and AI peers, for valuable, long lasting connections.

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Participate in focused, small group discussions, allowing to dive deeper into the subject.

 

What to Expect at our In-Person Event?

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Pre-qualified data and AI leaders.

Practical case studies. In-depth discussions, with clear take-aways.

Open, vendor-free environment – No sales pitches.

 


Agenda:

  • 14:30-15:00: Registration
  • 15:00-15:15: Welcome
  • 15:15-15:40: Session 1
  • 15:50-16:15: Session 2
  • 16:25-16:55: Small Group Discussion
  • 16:55-17:15: Open Forum Discussion
  • 17:15-17:30: Closing remarks
  • 17:30-19:00: Networking

About the format: 

In Person Peer Exchanges allow for a deeper dive into one subject area. They consist of three or four sessions, addressing different aspects of the main subject.  

In each session you can expect:  

  • 20min end-user case study  
  • Q&A  
  • Small group discussion and open forum sharing 
  • Summary of the key take-aways 

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

Location

London, UK

Local Time

  • Timezone: America/New_York
  • Date: 03 Sep 2026
  • Time: 3:30am - 12:00pm