Cloudera,
Inc., the modern platform for machine learning and analytics,
optimized for the cloud, announced that
CargotecOyj, 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’sIoT 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.
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