|By Business Wire
|February 13, 2014 12:00 PM EST
To help businesses maximize the value of their big
data investment, Intel Corporation today launched the Intel®
Data Platform, a software suite based on open source technologies
designed to make it easier and faster for companies to move from big
data to big discoveries.
Additionally, the new Intel® Data Platform: Analytics Toolkit
(Intel® Data Platform AT) will create a graph analytics and
predictive modeling environment to help businesses uncover valuable
insights from hidden relationships within data.
The Intel Data Platform provides an open environment for import,
management and analysis of big data that builds upon the Intel®
Distribution for Apache Hadoop* to offer improved reliability and
enterprise-class security and support. The platform also features
several new data processing capabilities including streaming data
processing, interactive and iterative analytics, and graph processing.
Together these capabilities enable enterprises to extract value from
data in ways not previously feasible with Apache Hadoop alone.
“As big data shifts from hype to reality, Intel is helping to break down
the barriers to adoption by easing complexity and creating more value,”
said Boyd Davis, vice president and general manager of Intel’s
Datacenter Software Division. “Much like an operating system for big
data processing, the Intel Data Platform supports a wide variety of
applications while providing improved security, reliability and peace of
mind to customers using open source software.”
With fully integrated frameworks for stream processing in real time,
companies such as retailers can use the Intel Data Platform to quickly
analyze social media and sensor data, in-store purchases, and inventory
to gauge the impact of a celebrity endorsement on the demand for a new
product. Using the interactive and iterative frameworks for big data
applications, industries such as telecommunications can look up a vast
array of data tailored to a specific customer in order to personalize
recommendations for new products or services.
The platform will be available next quarter in two versions – Enterprise
Edition and Premium Edition – each offering various levels of support.
The Enterprise Edition will offer full platform capabilities as a free
software product to customers who can support their deployment. The
Premium Edition will be available for purchase on an annual subscription
basis and will provide additional technical features including enhanced
automation, proactive security fixes and alerts, ongoing feature
enhancements, and live telephone technical support.
Uncovering Surprising Answers to Unforeseen Questions
Today’s tools for data analysis are often capable of answering the known
questions but are blind to unexpected connections within the data. The
Intel Data Platform AT is designed to reduce the complexity, effort and
cost associated with graph analytics and predictive modeling to help
data scientists discover knowledge and find hidden relationships within
The toolkit provides a foundation of common algorithms, such as graphs
and network-based clustering, that IT teams can build on and customize
with domain-specific code. The easy-to-deploy algorithms are broad
enough to be applied to multiple industries, including financial
services, healthcare and retail. The toolkit will also provide an
enhanced development framework for unifying graph analytics and
classical machine learning to ease the programming effort.
Using the toolkit, a data scientist at a financial services firm can
gain richer insight by developing a fraud detection service that
identifies patterns between purchasers, merchants and transactions to
uncover potential points of compromise instead of only monitoring the
purchase habits of individuals. The Intel Data Platform AT is available
in beta now and expected to be commercially available by the end of the
From Hype to Action: Big Data in the Real World
Intel is already working with companies of all sizes to help uncover
value in data to enable new scientific discoveries, business models and
consumer experiences. By implementing Intel-based hardware and software
Mobile Guangdong* was able to improve billing processes and customer
service by enabling online bill payment as well as the retrieval of up
to six months’ worth of call data records in near real time. China
Mobile Guangdong’s detailed billing statement inquiry system can now
retrieve 300,000 records per second and insert 800,000 records per
second or the equivalent of 30 terabytes of subscriber billing data per
Intel also worked with Living
Naturally*, a retail technology provider, to develop business
analytics algorithms based on the Intel Distribution for Apache Hadoop
to help retailers better manage supply chain and product promotions. The
algorithms analyze a mix of internal and external data, such as social
media, search engines and weather sites, to provide retailers with
better insight and help determine when to reorder products in optimal
quantities to minimize surpluses, shortages and shelf life expirations.
For example, when a popular medical expert with a large Twitter*
following recommended raspberry ketone pills to help reduce weight, the
result was a spike in sales and empty shelves. The Intel-based analytics
solution can help retailers anticipate increased sales demand based on
social media or other online postings.
Intel (NASDAQ: INTC) is a world leader in computing innovation. The
company designs and builds the essential technologies that serve as the
foundation for the world’s computing devices. Additional information
about Intel is available at newsroom.intel.com
Intel and the Intel logo are trademarks of Intel Corporation in the
United States and other countries.
*Other names and brands may be
claimed as the property of others.
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