The Next Manufacturing Advantage: From Products to Intelligent, Connected Services
· Hybrid Manufacturing

The Next Manufacturing Advantage: From Products to Intelligent, Connected Services

Machines and software are everywhere. The next competitive edge no longer comes from owning more of them — it comes from connecting, learning, and evolving faster than the competition. For manufacturers, the challenge is no longer adopting technology but turning it into a measurable, repeatable advantage.From Efficiency to IntelligenceTechnology is rewriting the rules of manufacturing […]

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Why Time-Series Data Is Manufacturing’s Most Underused Asset
· Industrial IoT

Why Time-Series Data Is Manufacturing’s Most Underused Asset

Every machine in a factory is a storyteller. Motors hum, valves pulse, and robotic arms flex—each leaving a digital footprint in the form of vibration signatures, torque readings, and temperature curves. Production systems add more layers: batch IDs, recipe adjustments, and operator inputs. Together, this flood of time-series data could tell manufacturers not only what […]

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A Guide to Manufacturing Data Analytics – Why Manufacturers Need a Modern Data Platform
· Analytics

A Guide to Manufacturing Data Analytics – Why Manufacturers Need a Modern Data Platform

In the age of digital transformation, data is more than a byproduct—it’s a powerful asset. But most manufacturers are sitting on untapped potential. This white paper from Critical Manufacturing explores how modern data platforms, combined with MES systems, are reshaping industrial operations—from the shop floor to executive decision-making.Readers will gain a clear understanding of how “dark data”—the 60–90% […]

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How Data is Rebuilding Manufacturing from the Edge Up
· Discrete Manufacturing

How Data is Rebuilding Manufacturing from the Edge Up

An industry conversation with Pugal Janakiraman, Global Manufacturing CTO at Snowflake, and Evan Kaplan, CEO of InfluxData. Manufacturing’s Data Mindset Is ChangingManufacturers have long relied on data to understand what went wrong—after the fact. When a production line stalled, or equipment failed, teams scrambled to gather scattered information to trace the root cause. That reactive model […]

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