Ebook
Using Data and Analytics to Drive Predictive Maintenance
Unplanned downtime costs manufacturers over $50B annually. Predictive maintenance, powered by IoT sensors, real-time analytics, and machine learning, helps predict and prevent equipment failures. Success depends on clean, integrated data across systems, but 88% of ML projects fail due to poor infrastructure. Cloudera offers an end-to-end hybrid data platform that ingests, stores, analyzes, and applies AI to IoT and enterprise data. It enables real-time insights, model deployment at the edge, and full lifecycle data management. Proven use cases include automotive, power, semiconductors, and oil industries, delivering major gains in uptime, cost reduction, and operational efficiency.