In this brief commentary, the speaker argues that owning the data and the AI construct is valuable, but companies must assess whether they have the necessary resources to build AI in‑house. For manufacturing firms that excel in their core operations but lack dedicated data teams or data‑warehouse infrastructure, developing a proprietary AI tool often does not make sense, as the required investment outweighs the benefits.
If you actually own something, especially in an era where the data itself is the fuel for the whole AI boom. And if you build it, you own the data, you own the construct and all that. But trying to determine, okay, do we really have the resources? And if you're a manufacturing facility that has great people in that industry, but you haven't needed a data team or really a data warehouse beyond whatever's in your tech stack, then that's not going to make a lot of sense for you to build your own AI tool.
Trust and Leadership Lessons for FP&A From 100+ Top Leaders with CFO Jon Laudie
