Data Roundtable - The Blueprint for AI & Predictive Analytics
Is your data foundation ready for the AI era?
Many companies are investing in AI tools on top of unstable foundations. The result? Hallucinating models, untrusted insights, and "cool experiments" that never drive actual business revenue.
In this session, we will look at the blueprint for AI & Predictive Analytics. We will move beyond the "storage" mindset and explore how to architect a flow where data is cleaned, enriched by AI, and immediately activated in your marketing channels (CRM, Email, Ad Platforms).
AI is only as good as the data you feed it.
(And it’s useless if you can’t activate it.)
While many organisations are eager to explore AI use cases, they quickly discover that their data is:
incomplete
poorly structured
inconsistent
not accessible in a safe way
If your data is trapped in silos, unstructured, or disconnected from your marketing tools, your AI initiatives will fail to launch.
Join us for this strategic roundtable where we define how to prepare your customer data architecture for AI-driven intelligence, decisioning and automation, without falling into hype or complexity.
What's on the table?
We will skip the hype and focus on the plumbing required to make AI work in the real world. Topics include:
Defining "AI-Ready": Moving beyond the buzzwords to understand the specific data attributes: cleanliness, history, and context, required to train reliable models.
Modelling for Prediction: How to structure your data not just for backward-looking reporting, but for forward-looking scoring, churn prediction, and automated decisioning.
Architectural Fit: Determining where AI fits in your stack. Should your models live directly in the Data Warehouse, in a separate AI environment, or embedded within the CRM?
Build vs. Buy: Navigating the critical trade-offs between developing custom models on your own data infrastructure versus licensing off-the-shelf AI agents.
Responsible Scaling: Best practices for democratising AI access across marketing and product teams without creating new data silos or governance risks.
Who is this for?
This session is curated for decision-makers who bridge the gap between technical data and business value:
Marketing Directors & Managers who want to move from "reporting" to "predicting."
Head of Data & CDO's responsible for building an infrastructure that supports GenAI and ML.
Digital Transformation Leads tasked with turning AI pilots into production value.
- 09:00
Welcome Breakfast & Networking
- 09:30
Roundtable Discussion & The Architecture of Activation
- 11:30
Q&A and Wrap-up
- 12:00
Networking Lunch
Secure your seat
Ready to build a smarter foundation?
Practical information & registration
Free, but if you cancel less than 24 hours in advance or do not show up without prior notice, we ask you to make a €100 donation to UNICEF Belgium.
see no-show policy below
By GPS
We recommend setting your coordinates to the corner of Hertshage and Zegepraalstraat. You can leave your car in the parking area across the street or in one of the surrounding streets.
By train
Our offices are only a 5 min. walk from the train station in Aalst. Plan your journey using the Belgian Rail Route planner.
No-show policy: commitment to participation & charity
Participation in the roundtable is free, but since this is an interactive session with limited seats, we expect every registered participant to attend.
To ensure commitment, we ask each participant to agree to the following upon registration:
If you cancel less than 24 hours in advance or do not show up without prior notice, we ask you to make a €100 donation to UNICEF Belgium.
This approach helps us bring together a dedicated and engaged group of participants while supporting a meaningful cause.
How does it work?
By registering, you confirm your agreement to this condition. If you do not attend without timely cancellation, you will receive a reminder with the donation details for UNICEF Belgium.
