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 โ itโs fundamentally about how we think and operate.
โExcel and Jimโ are not an MES Strategy
Heroic effort is not a sustainable strategyโitโs a sign of a broken one.
Smart Machines, Dumb Data: Why Your Factory Isnโt as Intelligent as You Think
Plugging the Leaks in Your Data Pipeline: From Raw Data to Actionable Insights
The Critical Role of Execution in Industrial Transformation
Why MES Is the Core of Industry 4.0: The Critical Role of Execution in Industrial Transformation
The Expected Value of Artificial Intelligence
AI Is the New Electricity โ But Are Manufacturers Wired for It?
Donโt 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 isnโt about how it looksโitโs 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 โIndustry 4.0โ or โDigital Transformationโ when in reality there are 3 very distinct types of projects that all support these initiatives: Modernization, Optimization, and Transformation.
Season 2: Episode 1: Jeff Winter on Industry 4.0: Driving ROI and Tomorrowโs Factories
Season 2: Episode 1 - Jeff Winter on Industry 4.0
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: ๐๐๐ฌโ๐๐ฎ๐ญ ๐จ๐ง๐ฅ๐ฒ ๐ข๐ ๐ข๐ญ ๐๐ฏ๐จ๐ฅ๐ฏ๐๐ฌ.
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.
Donโt Modernize An Outhouse
A fresh design doesnโt change outdated function.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, โWhat can we make?โ but โWhat do you want?โ
The Importance of Organizational Readiness
Resources alone are not enough for success. The real advantage lies in readiness, the ability to anticipate, adapt, and act in response to both expected and unforeseen challenges.
Success Factors for a Paperless Ecosystem in Manufacturing
Cutting paper is easy; cutting old habits is the real challenge
Survivorship Bias
If you only look at what worked, youโre missing half the story.