Analyzing the massive quantities and types of data generated in an industrial setting can enable effective predictive maintenance, improved demand forecasting, device fleet management, visibility into production challenges at all levels, and so much more. However, data silos make it difficult to capitalize on advanced, real-time, and predictive analytics or use AI/ML to determine the best actions to take to improve production.
Using data lakes to store structured and unstructured data can help industrial organizations address these issues. This eBook demonstrates—through use cases and real-world examples—the value of using data lakes in industrial settings.
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