A fireside chat on AI, analytics and the future of manufacturing operations
For most manufacturers, the data AI needs lives in 5 different places: a CMMS here, an MES there and a spreadsheet for skills tracking somewhere else.
Each of those tools can get smarter on its own, and none of them can give AI the one connected view of the shop floor it needs to be useful.
In this session, Rick Franzosa from Tech-Clarity and John Davagian from L2L dig into what the research actually shows: how manufacturers use AI and analytics today, what top performers do differently, and what it takes to close the gap between spotting a problem and fixing it.
We'll Discuss:
Point Solutions vs. Platform. Why fragmented systems are the real blocker for AI, and what it means to build operations software as one connected system from day 1.
From Automation to Autonomy. Why the next step for manufacturing operations needs both the flexibility of the cloud and the reliability of the edge.
What Top Performers Do Differently. Independent Tech-Clarity research on how leading manufacturers pick their analytics and AI investments.
From Systems of Record to Systems of Action. What it takes to go past documenting what happened and drive what happens next across maintenance, production and the frontline.
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