GenAI in Manufacturing: Start with Data Quality, Governance, and Quick Wins
Answering the AI Frontiers Audience’s Question“Generative AI isn’t just about documents. Factories generate huge amounts of sensor data, but turning that into real value with AI is challenging. What should companies tackle first—improving data quality, linking…
Prescriptive AI That Respects Reality: Recommendations You Can Actually Execute
Midnight on a production line isn’t the time for a generic alert. When a critical asset starts drifting, teams don’t want a chatbot—they need a specific diagnosis and a plan they can run safely, with the…
The Human Side of Smart Manufacturing: People, Partners, and Purpose in IIoT and AI
When we talk about smart manufacturing, the spotlight often falls on technologies—Industrial IoT, machine learning, and generative AI. But behind every breakthrough, there are people making decisions, solving problems, and shaping how these tools are applied.…
Predictive Maintenance with AI: Extending the Life of Industrial Machines
For manufacturers, downtime is costly. Studies show that 82% of industrial asset failures are random, making scheduled maintenance often ineffective. This is where AI-powered predictive maintenance, enabled by IIoT technologies, is changing the way factories care for machines—helping…
Scaling Smart Manufacturing with IIoT, ML, and Generative AI
Talk to any plant manager and you’ll hear the same frustration: too many proofs of concept, not enough results. The real opportunity isn’t running another pilot—it’s building scalable systems that deliver measurable value every day. That’s where Industrial…
Agentic AI Isn’t a Product – It’s an Integrated Business Strategy
Everyone’s talking about AI. From pilot projects and co-pilots to promising dashboards, artificial intelligence is cropping up left and right in manufacturing. What’s rare, however, are wide-scale implementations that deliver measurable results on the factory floor.…
Factory Expertise, Now Scaled by AI
Every factory depends on expertise — the intuition of a technician who can hear when a nozzle is misaligned, or the experience of an engineer who can trace yield loss back to a single feeder. But…
Industry 4.0 project stuck in pilot? Tackle these 5 roadblocks
Maybe you’re tired of hearing about Industry 4.0, but we’re just now getting to the good part. Attitudes about Industry 4.0 use cases—and digital transformation as a whole—are largely optimistic among industrial companies. State of the…
From Pilot Purgatory to Generative AI: Building Scalable IIoT and Machine Learning in Manufacturing
The promise of IIoT and machine learning in manufacturing is well understood – predictive maintenance, optimized energy use, and real-time quality control can save millions in downtime and waste. Yet many organizations remain stuck in “pilot…
From APIs to Digital Twins: Warehouse Integration Strategies for Smarter Supply Chains
The landscape of warehousing and supply chains is changing rapidly. Modern manufacturers, distributors, and energy companies face rising customer expectations for speed and transparency; for example, over 90% of U.S. consumers now expect 2–3 day delivery…