PALO ALTO, Calif., Sept. 21, 2017 /PRNewswire/ -- Cloudera, Inc. (NYSE: CLDR), the modern platform for machine learning
and analytics, optimized for the cloud, announced that Cargotec Oyj (NASDAQ Helsinki: CGCBV), a leading provider of cargo and
load handling solutions, is using Cloudera Enterprise Data Hub to power its Internet of Things (IoT) offering to enable predictive maintenance and
develop insightful, data-driven services. Cloudera, together with Tata Consultancy Services (TCS), built a cloud-based
IoT-as-a-Service platform that will usher in a new era of digital connectivity for the company's cargo handling operations and
enable operational excellence using machine learning.
Cargotec offers solutions and services through various businesses in the areas of cargo and load handling that ensure its
customers continuous, reliable and sustainable performance. Operating in more than 100 countries, and with sales of 3.5 billion EUR in 2016, the company and its subsidiaries have delivered half a million loader cranes to
customers. They have also moved every fourth container in the world with terminal and port operation solutions, and offered
engineering solutions and services for half of the world's ships to make transport by sea safe and reliable.
The IoT-as-a-Service solution uses machine learning to derive insights from streams of data across the thousands of cargo
handling equipment and machinery to enable remote monitoring and predictive maintenance. Using data, cargo handling operation is
improved, maintenance becomes predictive and anomalies are detected in real-time. This empowers Cargotec to increase their
competitive edge by offering new types of intelligent services and solutions with embedded artificial intelligence to customers.
Once collected and cross-utilized, enriched data will be used for driving and boosting new types of ecosystems by exposing the
data through API's in a robust and controlled way to leverage data assets in new contexts.
"It is our goal to be a leader in intelligent cargo handling by 2020," said Soili Mäkinen, chief information officer at
Cargotec. "With our scalable IoT platform, we can offer our customers data-based insights that many of these industrial companies
have never seen before. We use IoT data and machine learning to help customers recognize how their cargo handling equipment are
performing in different weather conditions, understand how usage relates to failure rates, and even detect anomalies in transport
systems."
To support Cargotec's IoT goals, Cloudera, together with TCS, built a cloud-based, sensor data analytics framework that helps
collect, store, analyze and correlate sensor data streams with data from internal, external and third-party data sources. The
advanced analytics and machine learning platform, based on the flagship product Cloudera Enterprise Data Hub, will ingest data
from equipment and fleet management, pull in weather patterns and forecasts, and contrast geography — to perform key analysis for
remote monitoring, predictive equipment maintenance and anomaly detection, all in real-time.
"We are pleased to enable Cargotec with the Digital Reimagination™of its business processes and build a strong data backbone
through our solutions and IP," said Dinanath Kholkar, global head of analytics and insights at TCS. "Our solution allows for real
time sensor data acquisition to establish diagnostics and facilitate predictive maintenance. The established big data backbone is
scalable, robust and cost effective, and will empower agility in data driven strategies and business growth."
With Cloudera Enterprise Data Hub, Cargotec derives fuel efficiency and route optimization which end users like ports or ships
can purchase to improve their operational efficiencies. This creates new revenue models for Cargotec and keeps its focus on being
an intelligent cargo handling solution. Additionally, the Cargotec data science team uses Cloudera Data Science
Workbench, a collaborative hub and integrated development environment capable of running Python, R or Scala with support for
Apache
Spark to build machine learning solutions.
"The IoT solution will enable Cargotec, its partners and customers, to conceptualize entirely new ways of doing business while
increasing operational efficiencies and driving incremental revenue," said David Pieterse, general
manager, EMEA at Cloudera. "A key factor in developing the IoT into this type of business tool is employing open source
technologies and machine learning analytics because it offers a flexible and diverse solution for the variety of data types
coming from manufacturing and cargo equipment."
Additional Resources
About Cargotec Oyj
Cargotec (Nasdaq Helsinki: CGCBV) enables smarter cargo flow for a better everyday with its leading cargo handling
solutions and services. Cargotec's business areas Kalmar, Hiab and MacGregor are pioneers in their fields. Through their unique
position in ports, at sea and on roads, they optimise global cargo flows and create sustainable customer value. Cargotec's sales
in 2016 totaled approximately EUR 3.5 billion and it employs over 11,000 people. www. cargotec.com
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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