Envision your data & AI journey: from strategy to value
How to get started with Data & AI: 3 different approaches
02 july 2025, HQ Leuven
Join us for a dynamic roundtable where we explore how organisations can kickstart or accelerate their Data & AI journey – each guided by real business needs and pragmatic decisions.

From insights to action
Is becoming data- and AI-driven always achieved through large-scale transformation? Or can success start with focused, achievable steps aligned with your current context?
You’ll hear firsthand how Comfort Energy Group, Vlaams Energiebedrijf and GS1 each took a unique path — whether by unlocking quick wins, surfacing hidden value in existing data or developing a clear Data & AI strategy. These real-world examples demonstrate how different starting points can lead to meaningful business impact.
In the second half of the session, you'll reflect on your own organisation. With the guidance of AE’s experts, you’ll reflect on your current position, explore which approach fits best, and define tangible next steps together with peers facing similar challenges.
You will leave with fresh inspiration and concrete ideas to move forward - one step at a time.



Agenda
Part 1.
Setting the scene
Why every Data & AI journey starts differently
Welcome & introduction
Kick-off: The journey towards Data & AI
Every organisation is looking to close the Data & AI gap. It starts by understanding your current state and envisioning where you want to go.
Three starting points, three strategies
Discover why a one-size-fits-all approach doesn't work and why choosing the right entry point is key to long-term success.
Part 2.
Real-world applications
Three ways to start: real examples, real lessons
Unlocking the hidden value in Data at Comfort Energy Group: By uncovering overlooked use cases within their existing data, Comfort Energy Group was able to kickstart their AI journey and deliver immediate business value — all without major transformation.
Building an AI Strategy at Vlaams Energiebedrijf: Use cases were identified and aligned with the organisation’s strategic pillars, creating a clear focus for AI investments and priorities.
Data & AI Sherpa at GS1: Through a collaborative process, GS1 developed a tailored roadmap that supports their unique journey toward becoming a data- and AI-driven organisation.
Part 3.
Interactive workshop
Envision your data journey
Choosing your next step
Assess where your organisation stands today, explore which starting point fits your context and outline actionable next steps in collaboration with peers and AE experts. Through interactive exploration, we’ll determine which of the three discussed approaches is the best fit for your organisation.
Closing reflections & takeaways:
No two journeys are the same, what will yours look like?
Who should attend?
This roundtable is designed for C-level leaders and data-minded decision-makers eager to start or refocus their Data & AI journey. Whether you're looking for quick wins, aiming to unlock untapped value or seeking a clear strategy — this roundtable talk will offer three real-world starting points to help you take the next step with confidence.
Introducing your hosts

Wannes Vandesande
Data expert at AE
Wannes has worked in multiple Data & Analytics roles for more than 10 years and has extensive experience as a data scientist, product owner and team lead. In his most recent assignments at AE, he was focused on product ownership by helping businesses design and implement Data & AI projects aligned to their objectives.

Alexandre Montrieux
Data analyst at AE
Alexandre is a data analyst, helping bridge business needs with data-driven solutions. He focuses on understanding strategic and operational requirements to guide the development of impactful data products. With a strong interest in data strategy, Alexandre ensures analytics efforts are aligned with business priorities and designed for long-term value.

Senne Van Hemelen
Data scientist at AE
Senne is a data scientist focused on building AI solutions that support business decision-making. His work includes machine learning, data analysis, and customer insights. He also has experience applying AI strategy to align the AI roadmap with business priorities.