Modernizing Without Disruption: A Practical Approach to Industrial Data Growth
Industrial operations depend on data historians to record what’s happening on the line or in the field. But as systems evolve toward Industry 4.0, many teams find that their historians weren’t built for what’s next —…
How AI and the Digital Thread Improve Machine Tool Systems
Artificial intelligence and digital connectivity are transforming how machine tools operate — from the way parts are designed and programmed to how data flows across production. The combination of AI-driven automation and a digital thread enables…
Digital Twins in CNC: From Virtual Proof to Profit
The race in CNC machining is no longer about who has the fastest spindle—it’s about who can validate reality before cutting metal. Across global manufacturing, digital twin technology is emerging as a quiet disruptor, letting engineers simulate…
From Paper to Pixels: Why Sheet Metal Fabrication Needs a Digital Traveller
Walk into many sheet metal shops today, and you’ll still find one of the most critical workflows running on a surprisingly fragile medium: paper. Job travellers, or the packets of instructions that follow a part from…
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…
Scaling Factory Expertise: Achieve Expert-Level Diagnostics 10x Faster with AI
Manufacturers today are navigating a perfect storm: surging production demands, a retiring workforce, and legacy equipment that can’t keep pace with modern expectations. According to the National Association of Manufacturers, 1.9 million jobs may remain unfilled in…
Before the AI Magic: Why Manufacturing’s Biggest GenAI Problem Is Still Data
Generative AI promises a revolution on the shop floor—faster decision-making, adaptive production, smarter quality control. But ask any manufacturing leader what’s actually slowing things down, and you won’t hear about algorithms. You’ll hear about data.At IIoT…
AI as a Skill Multiplier in Manufacturing, Not a Replacement
As AI tools and automation platforms race ahead, manufacturers face a critical question: is technology helping the workforce, or quietly pushing it aside? In the world of smart manufacturing, the answer is increasingly clear—AI works best…
Why AI Success in Manufacturing Starts with Leadership, Not Code
Manufacturers don’t lack AI tools. They lack the readiness to use them well. That was one of the clearest undercurrents at IIoT World’s Manufacturing Day session on generative AI. While the panelists from Siemens, Databricks, and…
The Hidden Advantage of Generative AI in Manufacturing: Speed, Not Just Smarts
For manufacturers, generative AI isn’t just about prediction—it’s about eliminating bottlenecks in model creation and deployment.While predictive maintenance and quality optimization often dominate the conversation around AI in manufacturing, a more transformative shift is quietly underway: AI…