Most discrete manufacturers I speak to do not have an insight problem. They have a shelf full of insight. OEE dashboards, scrap Pareto charts, supplier scorecards, a maintenance module that has been flagging the same bearing for four months. The gap is not knowing. The gap is the ninety minutes between a machine throwing a fault …
by Alok Kumar 
Half of enterprises have deployed an AI agent or LLM feature that passed their internal evaluations and then caused a customer-facing failure. A quarter have had it happen more than once. That figure comes from VentureBeat’s June 2026 VB Pulse survey of 157 qualified respondents at organizations with 100 or more employees. A July wave …
by Alok Kumar 
I have sat in a lot of rooms where an AI project died quietly. Not because the technology failed. Because someone from legal asked one question near the end: where does our data actually go? Nobody had a clean answer. The pilot was shelved, and everyone moved on. That question is now arriving earlier. Teams …
by Alok Kumar 
Legacy application modernization for manufacturers fails far more often than anyone in my industry likes to admit. Depending on whose research you read, somewhere between 70% and 88% of modernization programs miss their goals, blow their budgets, or get quietly abandoned. And the analysis consistently points to organizational causes like unclear ownership, scope creep, and …
by Alok Kumar 
Explore how AI-driven predictive quality analytics helps manufacturers identify hidden warranty risks, reduce quality escapes, and transform quality control from reactive investigations to proactive prevention.
by Alok Kumar 
Explore how Generative AI helps manufacturers optimize operations, reduce downtime, improve product quality, and streamline supply chains for smarter, more efficient production.
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