Industrial digitalization has become unnecessarily complex, with many organizations overwhelmed by oversized architectures and AI-first strategies before they even get started. In this article, we explore a simpler approach: start by connecting one machine, collecting one stream of data, building one dashboard, or automating one workflow. Because in industrial transformation, starting small is often the smartest way.
Every industrial company today is looking for the same profile: someone who understands machines, networks, data, cloud, and AI. Someone who can connect a PLC, deploy a container, troubleshoot a VPN, and explain why the data pipeline is broken. And... surprise, surprise... they can't find it. In this article we explain why.
Many industrial companies have a data strategy, yet very few can honestly say their business is better because it. The reason often isn’t technology or talent, but a missing piece in what we call the Triangle of Digitalization — a simple framework that reveals why most data strategies quietly fail.
Strengthening the Power Grid with Edge Intelligence