Fueling the future of digital transformation

Meanwhile, business units focus on simplicity and effectiveness, deploying robotics and edge computing to meet site-specific needs and ensure safety. "From a digital transformation standpoint, what I have learned is that you have to tie your technology to what outcomes drive results for both areas, but you have to allow yourself to be flexible, to be nimble, and to understand that change is constant," he says. Central to this transformation is the rise of industrial AI. Unlike consumer applications, industrial AI operates in high-stakes environments where the cost of errors can be severe. "The wealth of potential information needs to be contextualized, modeled, and governed because of the safety of those underlying processes," says Niño. "If a machine reacts in ways you don't expect, people could get hurt, and so there's an extra level of care that needs to happen and that we need to think about as we deploy these technologies."