Michael UngarCEO of the Industry 4.0 Club

AI Success: Score Early Wins with Existing Data

17 Feb 2026 · 1 min

Watch on YouTube

0:37

In this segment, speaker Michael Ungar cautions against the common mistake of assuming a large data lake is required before starting AI projects. He advocates using whatever data is already available to achieve quick, early wins that demonstrate AI’s value and build organizational confidence. Ungar emphasizes that AI adoption also demands a cultural shift—people must learn to trust AI as a collaborative partner. He frames AI as a co‑pilot that can assist in all areas of a business, not just manufacturing, encouraging teams to treat AI as an augmenting tool for efficiency across the enterprise.

Chapters

But one of the mistakes a lot of times people make, you know, there's a perception that you must create a data lake of some kind. And we say that, no, whatever data you have, use that to score some wins early enough so that you build confidence in AI. Because AI also requires a cultural shift that you have to trust AI from— and AI not just in manufacturing, you are using AI for— Everything. You know, efficient. You should treat AI like a co-pilot that is helping you in everything we do.