Smart Manufacturing
The Digital Twin in Automotive: The Update
Digital twin technology, a virtual replica of physical products, processes, and environments, continues to evolve in the automotive OEM sector. It now spans the entire lifecycle of a vehicle, from research and development, engineering, and manufacturing…
Why Digital Transformation Fails—and How to Fix It
Digital transformation remains one of the most talked-about priorities in manufacturing, yet most companies fail to scale their initiatives. In this analysis, IIoT World examines the root causes behind stalled transformation projects, from misaligned leadership expectations…
5 Steps to a Successful Multisite MES Implementation
As manufacturers race to modernize operations and gain competitive advantage through digital transformation, many are realizing that local, plant-by-plant MES deployments no longer scale. A multisite MES strategy is becoming essential—not just for IT standardization, but for enabling…
Real-Time Industrial Data: Why Architecture, Not Hype, Determines Success
Every major initiative in smart manufacturing, from predictive maintenance to AI-driven quality control, depends on one foundational capability: reliable, real-time access to industrial data. Yet many organizations invest heavily in analytics tools and dashboards only to…
Driving Sustainability Forward with IIoT: Smarter Processes for a Greener Future
We live in an era marked by climate urgency and resource scarcity, industries face the dual challenge of meeting growing energy demands while minimizing their environmental footprint. Outdated factories, inefficient processes, and power-hungry data centers exacerbate…
Human-Centric Automation: Redefining Industrial Innovation with AI
At Hannover Messe 2025, one theme stood out across the conversations in industrial automation: human-centric automation. Aurelien Le Sant, CTO & SVP of Innovation & Technology for Industrial Automation at Schneider Electric, shared insights on this…
Embedded AI at the Edge: Rethinking Industrial Performance in Real Time
Running artificial intelligence models directly on edge devices inside factories, substations, and process plants is no longer experimental; it is becoming a competitive requirement. Embedded AI at the edge eliminates cloud roundtrip latency, keeps sensitive operational…
Circularity is Good Business: How Industrial Companies Can Profit from Sustainable Design
Circularity isn't just a sustainability buzzword—it’s a smart business strategy. Speaking from Schneider Electric’s circularity-themed booth, Hany Fouda, SVP of Process Automation, outlined how circularity can deliver resilience, profitability, and operational efficiency for industrial companies. Why…
Why Industrial DataOps Is Key to Scaling Smart Manufacturing in 2025 and Beyond
At Hannover Messe 2025, conversations about digital transformation are no longer focused on whether to invest in data infrastructure—but how to scale it efficiently. In a live discussion with John Harrington, Co-Founder and Chief Product Officer at HighByte, a…
Manufacturing’s Future Hinges on Collaboration, Not Just Technology
At Hannover Messe 2025, I sat down with Mathias Oppelt, Vice President and Head of Customer-Driven Innovation at Siemens Digital Industries, to explore what manufacturers really want from digital transformation—and what’s still holding many of them back. The…
What’s Changing in Industrial Data Management: Key Takeaways from Hannover Messe 2025
At Hannover Messe 2025, InfluxData CEO Evan Kaplan and HighByte CPO John Harrington discuss how manufacturers are shifting from data collection to data intelligence and what’s required to support that transformation. Below are the most important…
Why Circular Manufacturing Needs Automation, AI, and Modular Design to Compete
Circular manufacturing, the practice of designing products and production systems to eliminate waste, extend asset life, and recover materials at end of use, is moving from aspirational concept to operational imperative. Regulatory pressure, raw material volatility,…