Operators still rely on their experience, intuition, and judgment. While this has greatly improved visualizations for operators, most companies with heavy assets have not kept up with the latest advances in analytics and in decision-support solutions that apply AI. The case for manufacturers with heavy assets to apply AIįor decades, companies have been “digitizing” their plants with distributed and supervisory control systems and, in some cases, advanced process controls. While AI technologies have made tangible improvements to supply chains and administrative functions, they have so far had scant presence in production-which is interesting, given that cement plants were early adopters of automation and control systems and have used digitized sensors and signals for decades. In doing so, they gain a better understanding of today’s evolving technologies and the value they deliver. AI offers a less costly alternative by enabling companies to use their existing software to analyze the vast amount of data they routinely collect and, at the same time, customize their results. Traditionally, these manufacturers have financed improvements as capital expenditures.

Now, even manufacturers with heavy assets, including cement companies, are launching pilot projects to determine if and how AI might benefit their operations. Navigation systems in cars, fitness apps, Alexa and Siri, Amazon, Netflix, weather forecasting, and high-speed stock trading are among current must-have AI applications. Today, artificial intelligence is commonplace.

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