Manufacturers that will lead over the next 2–3 years won’t be the ones with the biggest automation budgets, but those that recognize the bottleneck has shifted from hardware to intelligence—how effectively they design, integrate, and run systems using data, software, and human expertise.
Question: Where are you focusing your next investments to build “intelligence” in operations—data/AI, systems integration, or workforce/process know-how—and what’s the biggest barrier you face?
The manufacturers who will gain competitive ground in the next two to three years are not necessarily those with the largest automation budgets. They are the ones who recognize that the constraint is no longer hardware. The constraint is intelligence.
On our liquid lines, the bottleneck is turning noisy shop-floor signals into decisions: viscosity swings, foaming, and post-CIP effects can flip a filler from dialed-in to messy within an hour. How are you handling rapid model drift and giving operators safe, fast override paths so the “intelligence” doesn’t stall production when reality shifts?