Komatsu Helps Improve Mining Performance with Industrial Internet of Things (IIoT) Platform Powered by Cloudera

PALO ALTO, Calif., Nov. 15, 2017 /PRNewswire/ -- Cloudera, Inc. (NYSE: CLDR), the modern platform for machine learning and analytics, optimized for the cloud, announced that Komatsu, a leading global heavy equipment manufacturer, has implemented a cloud-based Industrial Internet of Things (IIoT) analytics platform powered by Cloudera Enterprise and Microsoft Azure. The platform enables Komatsu teams to help mining customers around the world continuously monitor the performance of some of the largest equipment used in surface and underground mining, increase asset utilization and productivity, and deliver essential resources including energy and industrial minerals for the global economy.

Komatsu's JoySmart Solutions is an IIoT-based service that helps customers optimize machine performance using machine data and analytics. The JoySmart platform ingests, stores and processes a wide variety of data collected from mining equipment operating around the globe, often at very remote locations in harsh conditions. Types of equipment monitored includes longwall mining systems, electric rope shovels, continuous miners and wheel loaders. Their data includes time-series metrics — machine pressures, temperatures, currents, etc. — alarm and event data, and other information from third party systems. A single machine can have hundreds to multiple thousand data metrics and generate 30,000-50,000 unique time-stamped records per minute.

"With increasing customer demand and more connected machines, we were looking at data growth reaching 30 terabytes per month. Our former environment limited our ability to scale, grow and innovate," said Anthony Reid, senior manager of analytics at Komatsu. "With Cloudera's modern platform, we use advanced data analytics and machine learning to power our IIoT success. We now provide customers with better recommendations on machine utilization and deliver services faster. In one example, we were able to make recommendations for a large coal mining company that enabled them to double the daily utilization of their Joy longwall system."

"By deploying Cloudera Enterprise on Microsoft Azure, our teams make the invisible visible, gaining valuable insights to help customers optimize productivity and mining efficiencies. Cloudera delivered the fast performance, data security and customer support that allowed our teams to access machine data analytics and collaborate with different user groups across the world," said Reid.

Komatsu data scientists can now build and deploy machine learning models faster to understand equipment operation, provide better insights for customers and ultimately influence future mining equipment design. Utilizing components such as Apache Kudu and Apache Spark, Komatsu can drive real-time processing, machine learning, and analytics on all of their IoT data, including data in motion and data at rest.

"Komatsu required a modern data platform that not only delivers next-generation machine learning and advanced analytics capabilities in the cloud, but is also scalable to increases in their customers' equipment utilization and productivity," said Dave Shuman, IoT and manufacturing industry leader at Cloudera. "With Cloudera, Komatsu can now use the vast amounts of data to help its mining customers manage increasing pressure to be environmentally smarter and more productive at a lower operation cost."

Additional Resources

• Learn how Komatsu is applying machine learning using Cloudera: video and success story
• Read about Cloudera for IoT
• Check out the new Cloudera Data Science Success Kit that includes Data Science Workbench bundled with world class professional services
• Watch our On Demand webinars:
• An End-to-End Open Source Architecture for IoT provided jointly with Red Hat
• Simplifying Real-Time Architectures for IoT with Apache Kudu
• IoT-Enabled Predictive Maintenance provided jointly with Tata Consultancy Services
• IoT - Data Management Trends, Best Practices & Key Use Cases with Christian Renaud of 451 Research
• Download The Internet of Things Heat Map, 2016: Where IoT Will Have the Biggest Impact on Digital Business by Michele Pelino and Frank E. Gillett, Forrester

About Komatsu
Komatsu is an indispensable partner to the mining, forestry, industrial and construction industries that maximizes value for customers through innovative solutions. With a full line of products supported by advanced IoT technologies and the company's global service network, Komatsu helps customers safely and sustainably optimize their operations. The company's Komatsu, P&H, Joy and Montabert equipment and services are used to extract fundamental minerals and develop modern infrastructure. For more information visit www.mining.komatsu.

About Cloudera
At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. We are the modern platform for machine learning and analytics optimized for the cloud. The world's largest enterprises trust Cloudera to help solve their most challenging business problems. Learn more at cloudera.com.

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This press release contains forward-looking statements including, among other things, statements regarding the expected performance and benefits of Cloudera's offerings. The words "believe," "may," "will," "plan," "expect," and similar expressions are intended to identify forward-looking statements. These forward-looking statements are subject to risks, uncertainties, and assumptions. If the risks materialize or assumptions prove incorrect, actual results could differ materially from the results implied by these forward-looking statements. Risks include, but are not limited to, risks described in our filings with the Securities and Exchange Commission (SEC), including our Form S-1 Registration Statement, and our future reports that we may file with the SEC from time to time, which could cause actual results to vary from expectations. Cloudera assumes no obligation to, and does not currently intend to, update any such forward-looking statements after the date of this release.

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SOURCE Cloudera, Inc.