Move from fragmented IT/OT data to hard-dollar P&L impact
It’s 2 a.m. on a Tuesday. Deep inside a Midwest manufacturing plant, a critical stamping press throws a fault code.
The maintenance team scrambles. But the data that could have predicted this exact failure three days ago is trapped in a legacy system that hasn’t been updated since 2014 and doesn't talk to your ERP or scheduling engine. By the time leadership is briefed at morning standups, a full shift of production is lost, a major customer’s order is at risk and supply chain teams are frantically dialing backup suppliers off an outdated spreadsheet.
If this sounds painfully familiar, you’re far from alone.
While the tech world obsessively debates how generative AI can draft marketing copy or summarize email threads, industrial leaders are fighting a vastly different battle. For manufacturing executives, artificial intelligence isn't about soft-dollar administrative savings — it's about operational survival, P&L returns and physical safety.
