
The Rise of the CAIO (Chief AI Officer)
AI is rewriting the rules of competition; the Chief AI Officer is the editor-in-chief.

The AI Hamster Wheel
Measuring speed means nothing if direction never changes

The Art, and Risk, of Misplaced Priorities in the Age of AI
Some companies are masters at setting priorities… just not the right ones.

What Comes After Digital Transformation?
You've transformed your tech. Now transform your yhinking

When the Tool You Love Is Secretly Holding You Back
Excel doesn’t have a learning curve. It has a dependency problem

We Shape Our Tools; Then They Shape Us
You’re Not Just Using AI. It’s Using You, Too.

Making Industry 4.0 Work: Lessons from Jeff Winter on Change, Culture, and Technology
This article profiles Jeff Winter’s journey into Industry 4.0 and explores how digital transformation, data integration, and cultural change are revolutionizing maintenance into a proactive, strategic driver of manufacturing success.

AI Maturity in 2025
The State of AI Maturity in 2025: Scaling Ambition, Stumbling on Execution

Modernizing Demand Forecasting in Manufacturing
Yesterday’s Sales Can’t See Tomorrow’s Storm, But AI Can

From Theory to Practice: How AI Is Being Utilized in 2025
How does 2025 compare to 2024? The answers are shockingly different

What Happens When We Trust the Box Without Opening It?
The illusion of intelligence is more dangerous than no intelligence at all.

From Science Project to Global Operating System: How AI Transformed Between 2023 and 2025
Artificial intelligence didn’t just grow up between 2023 and 2025. it graduated with honors, joined the workforce, ran for office (sort of), and started co-authoring Nobel-winning research.

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

Season 2: Episode 1: Jeff Winter on Industry 4.0: Driving ROI and Tomorrow’s Factories
Season 2: Episode 1 - Jeff Winter on Industry 4.0

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.

Episode 5: The Art of the Practical
Episode 5 of (R)Evolutionizing Manufacturing: The Art of the Practical

Success Factors for a Paperless Ecosystem in Manufacturing
Cutting paper is easy; cutting old habits is the real challenge

Podcast - The Only Constant - Episode 43 - Gen AI’s Role in Manufacturing
Lasse Rindom and Jeff Winter sit down to talk about Industry 4.0. This conversation is a must-listen for anyone navigating the crossroads of technology and transformation

Potential Impact of Gartner’s 2025 Ten Technology Trends on Manufacturing
Short-term innovation gets you noticed; long-term transformation keeps you relevant.

Espresso 4.0 - Is Industry 4.0 a Scam?
Season 2 - Episode 2