Digital Transformation Tag

Despite years of digital transformation buzz, many manufacturers still rely on spreadsheets, paper-based records, and siloed systems to run critical operations. As Augusto Vilarinho, Head of Global Sales at Critical Manufacturing, bluntly put it during the recent MES & Industry

Modern manufacturers face a paradox: despite generating more data than ever, as much as 80–95% of valuable operational data remains unused. The result? Missed opportunities, fragmented visibility, and stalled digital transformation efforts. Our new executive booklet, based on the expert panel “The Connected

Digital transformation is a top priority for manufacturers—but executing it without disrupting daily operations remains one of the toughest challenges in the industry. Downtime is expensive. Retraining teams is resource-intensive. And implementing new systems while maintaining output often feels impossible. IIoT

For many industrial organizations, the edge has long been treated as a fixed, isolated part of operations. But as digital transformation initiatives scale—and artificial intelligence, analytics, and cybersecurity concerns intensify—this view is rapidly becoming outdated. Erik Nordmark, Co-founder and CTO at

As manufacturers continue to navigate evolving demands, supply chain complexity, and fast-paced technological change, the need for scalable, intelligent, and resilient systems is front and center. The MESI 4.0 Summit 2025, hosted by Critical Manufacturing, offers a platform for manufacturing and technology

At the Automate Show in Detroit, Gregory Tink, Digital Transformation Consulting Director at Schneider Electric, shared a clear and actionable approach to industrial digital transformation—one that moves beyond buzzwords and into scalable, measurable progress. Start with Strategy, Not Technology Too many manufacturers jump

In my 15 years in Industry, I haven’t seen a technology move as quickly as AI. The timeline from writing funny Haikus to showing up on the factory floor was a lot shorter than I expected. AI is exciting, but what’s

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 to logistics, sales, aftersales,

As manufacturers scale digital transformation, one roadblock keeps appearing across plants, lines, and systems: inconsistent, fragmented, and poorly contextualized industrial data. The result? Missed insights, unreliable analytics, integration delays, and costly rework. But there is a better way. This guidebook from HighByte