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.

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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Accumulates, analyzes, and generates actionable insights from relevant sensors. This helps you identify faults before they occur and decrease downtime with predictive maintenance. ADAPT was conceived after detailed interactions with industrialists and operators to understand the requirements for a lightweight, user-friendly solution to boost productivity. ADAPT helps your industry undergo digital transformation to ensure the right person has access to the right data and insights at the right time. All secure and Access controlled.

While the technologies and techniques for analyzing, aggregating, and modeling data have largely kept pace with the demands of the modern data organization, our ability to tackle broken data pipelines has lagged behind. So, how can we identify, remediate, and even prevent this all-too-common problem before it becomes a massive headache? The answer lies in the data industry's next frontier: data observability. When you were growing up, did you ever read a Choose Your Own Adventure novel? You, the protagonist, are responsible for making choices that will determine the outcome of your epic journey, whether that's slaying a fire-breathing dragon or embarking on a voyage into the depths of Antarctica.