Creating Organisational Impact with Data and AI

Data and AI are key to value creation. The challenge is scaling impact, not capability. This event shows how leaders are embedding AI to build a repeatable, measurable AI-First future.


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

 

Why Attend?

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Hear practical case studies showcasing examples of creating value with data in leading organisations.

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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?

25 4 Multiple Vendor-free
Pre-qualified senior data and AI leaders. Practical case studies. In-depth discussions, with clear take-aways.

Open, vendor-free environment – No sales pitches.

 


 

Agenda:

08:30-09:00 | Registration   

 

09:00–10:30 | Operating Models for Successful AI Transformations
Natalija Bezubova, Global Head of Enterprise Analytics, Entain

 

10:30-11:00 | Networking Break 

 

11:00–12:15 | From Ideas to Adoption: Building Data and AI Products That Deliver Real Value
Apoorva Abhinav, Head of AI & Digital Transformation, Friesland Campina

 

12:15-13:15 | Lunch 

 

13:15–14:30 | Bridging the Gap: Overcoming the Real Barriers to Scaling Agentic AI
Nuno Assis, DataIQ Expert, formerly Miele X

 

14:30-15:00 | Networking Break 

 

15:00-16:45 | Proving Value: Turning Data and AI Investment into Measurable Business Outcomes 
Anindita Misra, Global Director – Data, AI/ML and Responsible AI Governance, Brenntag

 

 


 

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.

Local Time

  • Timezone: America/New_York
  • Date: 09 Apr 2026
  • Time: All Day