The year is 2028. Acme Inc. has had enough data quality issues in its supply chain. They have tried a few different “AI-enabled” data quality tools. They did not get the result they desired.

The challenge is, under the hood, most of these “AI-enabled” tools essentially are rule-based algorithms with rules designed around common data-related errors. Some of them do learn from data, but that learning happens once a batch with bad data entry has already created mayhem in Acme’s supply chain planning.

But hey-its 2028! Back in 2023, we all were excited that Generative AI could generate synthetic data. It was that same capability, that allows it to do a much much better, and more proactive job at data quality enforcement (not management).

Acme Inc.’s IT Infrastructure (which is mostly cloud-based) is part of an ecosystem that allows it to leverage these large models from providers. The challenge is they can leverage the tool, but they will have to train the model in-house for their unique data nuances.

And this is not a skill readily available. But the VP of Inventory has contacted a firm specializing in this.

They are sending a Generative trainer to help.

So what will these Generative trainers do in 2028? Watch the video to learn more.