Unplanned downtime has wide-ranging impacts that affect more than just a plant's productivity and profitability. Forced shutdowns also have a major impact on plant and personnel safety, as well as greenhouse gas emissions and environmental compliance. But what if you could actually plan for downtime? In this paper, learn how advances in machine learning and predictive analytics are eliminating the surprise of unplanned downtime--enabling companies to minimize the most dangerous conditions, reduce the amount of gases released into the environment, and improve productivity and profitability.

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"We've been fortunate to have been awarded some grant money to allow us to do this work during the shutdown," said Kevin Burkett, CEO and president of the nonprofit State Theatre Preservation Society (STPS). "The change is pretty dramatic. Everything is so clean and polished. We even added video monitors for a digital menu display and to show previews of upcoming shows."

By using an Azure-based IoT solution to make good use of data and push AI workloads to the edge, Newcrest can optimise operational performance and enable predictive maintenance--reducing unplanned downtime and delivering quantifiable financial value.

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