Is Your ERP Ready for AI?
Advanced analytics are moving from theory to practice on the manufacturing floor. Forecasting demand, anticipating maintenance issues, tightening schedules, and improving quality are all more achievable than they were even a few years ago. The promise is real. But so is a reality many manufacturers are running into the hard way. Analytics and automation do not fix messy data. And most ERP systems, while critical to daily operations, are…
Read MoreWhy the Voice of the Customer Matters More Than Ever in Manufacturing
Oftentimes, when I sit with manufacturers, whether it’s on a shop floor, in a conference room, or over a cup of coffee, the conversation starts the same way. They’re proud of what they make. They can talk in great detail about tolerances, materials, throughput, and quality. But when I ask a simple question, “Who exactly is your customer, and why do they buy from you?”, the room gets quiet.…
Read MoreThe Rise of the Digital Coworker
Every few years, artificial intelligence gets declared “new” all over again. A new interface, a new model, a new wave of hype. But the truth is far less dramatic, and far more interesting. AI has been on a steady maturity path for more than 50 years. What is new is not that machines can think, but that they can now work alongside us. Artificial intelligence has quietly powered manufacturing…
Read MoreAI in 2026 for Manufacturers: From Eagerness to Execution
Often, in conversations across the manufacturing sector, the topic of AI surfaces immediately. Leaders know AI is reshaping industries, and few want to be caught flat-footed. But just as often, that enthusiasm is paired with uncertainty around where to start, which use cases matter, and how to judge whether the investment is worth it. The gap between idea and execution is a central theme highlighted in Fischgrund Consulting’s 2026…
Read MoreThe AI Standards Every Manufacturer Should Know
From predictive maintenance to smarter robotics, AI is everywhere, and it’s movingfast. But along with the opportunity comes a new set of responsibilities: fairness, safety,data integrity, and trust. That’s where ISO and IEC step in. They’ve built a globalframework of AI standards designed to keep innovation safe, consistent, andtransparent. Think of these as your roadmap for using AI responsibly without slowingdown progress. Here’s your guide: what each standard does,…
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