DataTopics: All Things Data, AI & Tech
Sep 22, 2026 · 31 min · 10 segments
Send us Fan Mail How do you build an AI strategy that delivers value today while preparing your organization for what comes next? In this episode…
Sophie Van NevelGuestBenHostWhat did you start with? Because you joined the company and then did you have to formulate a strategy or did you do use case discovery or how did that go?
Yes, specifically on the AI part, there was already a high level plan when I started, which consisted of three different elements.
A second thing, and there we really started, we did not have a team in place yet at that point in time.
So I really started building a team around our own AI development use cases.
Because we had really a strategy where we said, okay, we really want to invest in those cases that make the difference for TVH.
And I was typically in the domains of our service equipment and product data.
but also in e-commerce and search, where we are really building out a number of capabilities.
That is the reason why I started now building out also a team, which is since January this year in place.
Interesting.
So the goal was a bit to centralize and then have a company-wide strategy?
We really thought that centralizing it in a data and AI organization brought value to really strategically invest further in AI and also to bring together different people from different angles of the organization to start sharing best practices, to set up necessary practices on MLOps, for example, the platform behind, and that that was all centralized in one organization.
Makes sense.
And so you'd start with discovering use cases then, I imagine.
What did the way of working look like or how did you tackle that process?
What did you start with? Because you joined the company and then did you have to formulate a strategy or did you do use case discovery or how did that go?
Yes, specifically on the AI part, there was already a high level plan when I started, which consisted of three different elements.
A second thing, and there we really started, we did not have a team in place yet at that point in time.
So I really started building a team around our own AI development use cases.
Because we had really a strategy where we said, okay, we really want to invest in those cases that make the difference for TVH.
And I was typically in the domains of our service equipment and product data.
but also in e-commerce and search, where we are really building out a number of capabilities.
That is the reason why I started now building out also a team, which is since January this year in place.
Interesting.
So the goal was a bit to centralize and then have a company-wide strategy?
We really thought that centralizing it in a data and AI organization brought value to really strategically invest further in AI and also to bring together different people from different angles of the organization to start sharing best practices, to set up necessary practices on MLOps, for example, the platform behind, and that that was all centralized in one organization.
Makes sense.
And so you'd start with discovering use cases then, I imagine.
What did the way of working look like or how did you tackle that process?
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