This session covers what has to be true before AI gives you an answer you would actually act on. We start with a real failure: two fields, ship date and shipped date, that meant different things in two systems and turned into a missed customer commitment with a dollar figure attached.
WHAT YOU WILL LEARN
- Why definitional drift, not model quality, is what kills most manufacturing AI pilots
How to define a process well enough that automating it is safe with well defined data definitions
What connecting and standardizing across operational systems actually requires
How a semantic model keeps terms consistent across systems, plants, and reports
Where dashboards belong and where AI belongs, and why the split matters for cost
WHO SHOULD ATTEND
COOs, VP Operations, plant managers, IT and operations leadership, and finance partners at discrete manufacturers. Useful for anyone who owns a number that gets argued about in a monthly review. No technical background required.