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.
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.
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.
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.
In Industry 4.0, ownership is less about possessing assets and more about orchestrating access
Smart manufacturing isn’t just about doing things better; it’s about redefining what ‘better’ means in a digital, sustainable world.
Sustainability isn’t a department; it’s a decision embedded in every action, process, and product.
A product’s true worth isn’t just in how it’s made, but in what happens after it’s used.
Why MES Is the Core of Industry 4.0: The Critical Role of Execution in Industrial Transformation