Recent industry layoffs framed as “AI replacing jobs” reflect a deeper issue in digital transformation: organizations are optimizing cost faster than they are redesigning how work and decisions actually operate. The current wave of A...
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...
