Engineering and manufacturing are entering a phase characterized by increased connectivity, product complexity, software proliferation, and rising AI-driven expectations. The implications extend far beyond technology adoption. They incre...
At ACE 2026, a single line from Rob McAveney’s keynote stood out for its apparent simplicity and underlying weight: The future of PLM will be built by you. Rob McAveney, CTO at Aras Positioned against a backdrop of AI-driven transforma...
There is a simple truth about language that is often overlooked: translation is never neutral. As one recent reflection put it: Learning a language is not just words—it is books, movies, songs and foods we would not otherwise notice or...
Ten years ago, I wrote about the tension between Excel and PLM, framing it as a choice between tools and a process-adoption challenge. A decade later, the debate persists—but it still misses the point. This is not about whether Excel s...
What is 2026 likely to change? Short answer: By end-2026, AI in PLM will matter less for how well it searches a vault and more for how effectively it coordinates decisions across systems. The shift underway is from AI inside PLM to AI ab...
AI depends on data foundations to be trusted. But unlike previous technologies, AI is actively reshaping what those foundations are and how they must be governed. Leaders who treat data foundations as a static prerequisite risk building ...
