From the Newsroom: PLM, engineering software, scientific R&D and enterprise AI — the developments that matter, and what they mean. Industrial AI is entering a different phase. The race is no longer simply about developing more capable ...
Why the future of enterprise intelligence depends on knowing what to remember, what to trace, and when to challenge yesterday’s decisions. AI is reshaping daily PLM and wider enterprise conversations. Beyond connected data and digital th...
Transformation readiness and adoption cannot simply be inferred from a green program dashboard. Readiness tells us whether the organization can operate; adoption tells us whether new ways of working are actually taking hold. Both need act...
A recent discussion raised a deceptively simple question: why are transformation readiness and adoption so often reported by the same program team responsible for delivering the transformation? This is common across large ERP, CRM, PDM/P...
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...
