
The Move from Industry 3.0 to 4.0 in Baby Steps
Industry 4.0 isn’t a light switch—it’s a dimmer dial, and most of us are still fumbling for the right setting

Bridging the IT/OT Divide
There are many ways companies can try and converge IT and OT., but one is better than the rest!

How well is ISA-95 Adopted?
92.9% of manufacturers and solution providers use ISA-95 to help with Enterprise-Control System Integration

Your Biggest Barrier to Transformation
Your biggest transformation blocker might be wearing a company polo and sitting in your Monday morning meeting.

If your infrastructure looks perfect, you probably don’t understand it.
Digital transformation sounds clean on paper. Reality is held together by scripts and duct tape.

IT/OT Convergence - How Big Is It?
How big is the IT/OT Market?

Industry 3.0 Vs. Industry 4.0 Mindset Shift
The shift from Industry 3.0 to Industry 4.0 is about far more than machines and algorithms – it’s fundamentally about how we think and operate.

‘Excel and Jim’ are not an MES Strategy
Heroic effort is not a sustainable strategy—it’s a sign of a broken one.

Smart Machines, Dumb Data: Why Your Factory Isn’t as Intelligent as You Think
Plugging the Leaks in Your Data Pipeline: From Raw Data to Actionable Insights

The Expected Value of Artificial Intelligence
AI Is the New Electricity – But Are Manufacturers Wired for It?

Don’t Band-Aid Your Digital Divide
You can't patch your way to the future.

The Relationship Between the Physical World & Digital World
A digital twin isn’t about how it looks—it’s about what it knows and how it acts

Three Types of Industry 4.0 Initiatives
Most companies label their digital projects under the umbrella of “Industry 4.0” or “Digital Transformation” when in reality there are 3 very distinct types of projects that all support these initiatives: Modernization, Optimization, and Transformation.

The Emergence, Features, and Power of Lean 4.0
For decades, Lean Manufacturing has been the gold standard for efficiency. But with AI, IoT, and automation transforming the industry, is it still enough?
The answer: 𝐘𝐞𝐬—𝐛𝐮𝐭 𝐨𝐧𝐥𝐲 𝐢𝐟 𝐢𝐭 𝐞𝐯𝐨𝐥𝐯𝐞𝐬.

Data Engineer Vs. Data Scientist Vs. Data Analyst
With the rise of AI, companies cannot fully leverage AI without data roles like engineers, scientists, and analysts. These roles are essential for collecting, preparing, and analyzing data, which forms the foundation for training and maintaining accurate AI models. Without skilled data professionals, the potential of AI cannot be fully realized.

Don’t Modernize An Outhouse
A fresh design doesn’t change outdated function.

Top Paradigms that Define a Smart Factory
Every revolution in manufacturing starts as a disruption and ends as a necessity.

2024 Industry 4.0 Benchmarking Data
This benchmark makes one thing clear: technology is not the bottleneck - execution is.

The Four Main Personas of Digital Transformation
Captivate. Innovate. Make the impossible happen.

The Evolution of Manufacturing: From Craft to Personalization
Manufacturing no longer asks, ‘What can we make?’ but ‘What do you want?’