Data Analysis Disruptors in the Industrial Space
Adapt past the disruptors to realize benefits from industrial data analytics. Vice President of Business Development, Laurie Cavanaugh, shared her insight and experience with Control Engineering for a webcast last spring in this partial transcript from the April 21, 2022, RCEP PDH webcast. Emerging Trends in Industrial Data Analysis Industrial data analysis is evolving rapidly, driven by advances in connectivity, AI, and machine learning. Modern manufacturing facilities are increasingly relying on real-time insights to optimize production, reduce waste, and improve production quality. That means that understanding analytics trends can help companies stay ahead of competitors and achieve measurable operational gains. The Source of Key Disruptors Shaping Industrial Analytics Several factors are fundamentally changing how manufacturers approach data analysis: Just as each of these creates new opportunities for manufacturers, it also introduces disruptors that can prevent progress. That doesn’t mean we should avoid progress — but it does shape what adapting to new technologies looks like. Disruptors Can Slow Industrial Data Analysis Adoption The industrial data analytics course title says “Just Enough,” but what is enough? Sometimes, enough isn’t good enough because of some of the disruptors to industrial automation. Back in the late ‘90s and the early aughts, it was difficult for those trying to sell computers into the industrial automation space. The user adoption just wasn’t there. People were afraid of technology. They didn’t have a computer in their home at that point, or were just getting into that. Fear of the unknown prevented full forward movement of the industrial automation space. There were generational barriers, but in just a 10-year timespan from the late aughts until mid-2010s, what really disrupted that? What started changing the minds of end users in the industrial space? It was what they were doing outside of work. All of a sudden, users are … Continued
