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. |
Exchange with a pre-qualified group of data and AI peers, for valuable, long lasting connections. |
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 | From Use Case to Enterprise Value: Operationalizing What Works
- How leaders are choosing and framing use cases
- What “value” looks like in practice (ROI, productivity, impact)
- How organizations are getting from POC to production
10:30-11:00 | Networking Break
11:00–12:15 | Designing Data and AI Teams for Scale: Roles, Ownership, and Collaboration
- How to define clear roles and ownership to avoid duplication and gaps
- Operating models that balance central expertise with distributed delivery
- Collaboration patterns that work across data, AI, and business teams as complexity grows
12:15-13:15 | Lunch
13:15–14:30 | Driving AI Adoption: Culture Change that Builds Lasting Trust and Use
- How to build belief in the technology across the org
- How to evolve leadership, workflows, and upskilling strategies
- How cultural blockers (resistance, fear, disconnect) are being addressed at scale
14:30-15:00 | Networking Break
15:00-17:00 | Proving Value: Turning Data and AI Investment into Measurable Business Outcomes
- Linking data and AI initiatives to tangible business metrics
- Aligning finance, data, and business on what “good value” means
- Moving from ad-hoc justification to systematic value assurance
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.
