Fujitsu today announced the launch of Data Utilization Platform Services, which use cloud services as a platform leveraging big data(1).
This is a cloud service for gathering, compiling, and integrating massive quantities of sensing data; combining it with knowledge; processing it using realtime processing or batch processing; and using it for such purposes as making future projections. It covers four specific services offerings: Data Management & Integration Services, Communications Control Services, Data Collection and Detection Services, and Data Analysis Services.
Fujitsu is promoting Convergence Services that leverage big data to help resolve business and global issues, generate new sources of value, and bring about a more prosperous society. Data Utilization Platform Services will act as the core of these services.
To complement the new services, Fujitsu is also launching Data Curation Services to provide total support for these new ways of leveraging data, including customer data analysis and its application to business operations. Current customer-specific support menu options are to be standardized by April 2012 and gradually rolled out as services.
Fujitsu's Convergence Services are the key to bring about a "human centric intelligent society" in which ICT resources are used to create a society that is more secure and more prosperous for everyone. By collecting, storing, and analyzing massive amounts of data and integrating it with knowledge in a feedback loop to society, Fujitsu aims to generate new sources of value and contribute to resolving the increasingly complex issues facing society, such as lowering healthcare costs, using energy more efficiently, and reducing traffic congestion.
Data Utilization Platform Services being introduced today are a core part of these Convergence Services, and are designed to help companies seeking to leverage big data to get new business initiatives off the ground quickly and add value to products and services.
This is a cloud service for gathering, compiling, and integrating massive quantities of sensing data, processing it using realtime processing or batch processing, and using it for such purposes as making future projections. For companies that are considering the use of big data, or quantities of data that are expected to expand to become big data, to develop new products and services or to solve problems, Data Utilization Platform Services offer a way to quickly, safely, and inexpensively get a planned system or business off the ground.
Four specific services are being offered: Data Management & Integration Services, Communications Control Services, Data Collection and Detection Services, and Data Analysis Services.
Fujitsu plans to gradually expand its Convergence Services to provide customers with the best possible options to suit their accumulated data and business growth.
All the technologies required to leverage big data including compound event processing(2) and distributed parallel processing, are integrated into the cloud platform, which is provided as a service.
Data collected from different types of sensors, business-transaction logs, text data, binary streams(3), and other types of data can be integrated for a variety of purposes to extract new value from them.
Customers can start small with the service and expand as their business grows. Customers use and pay for only those resources they need, enabling them to optimize costs.
|Data Management & Integration Services||A huge volume of diverse data in different formats constantly being collected from sensors is efficiently accumulated and managed through the use of technology that automatically categorizes the data for archive storage.|
|Communications Control Services||Comprises three functions for exchanging data with various types of equipment (such as home appliances) over networks: communications control, equipment control, and GW management.|
|Data Collection and Detection Services||By applying rules(4) to the data streaming in from sensors, an analysis of the current status can be performed and based on that analysis, decisions can be made with navigation or other required procedures performed in real time.|
|Data Analysis Services||The huge volume of accumulated data is quickly analyzed using a parallel distributed processing engine to create value through the analysis of past data or through future projections or simulations.|
|Service Name||Pricing (excluding tax)||Availability||Comments|
|Data Management & Integration Services||By quotation||Now||Required|
|Communications Control Services||By quotation||Now||Optional|
|Data Collection and Detection Services||By quotation||Now||Optional|
|Data Analysis Services||By quotation||Now||Optional|
Beginning in the second quarter of fiscal 2012, these four services will be augmented by a Data Exchange Service and an Information Application Support Service.
Data Exchange Service: Makes it possible to merge accumulated information among multiple tenants (customers) safely when needed, and in the format needed, through a federation(5) in which access privileges are respected.
Information Application Support Service: Using service mashup technology(6), the analytical results from the platform are integrated with multiple web services to easily create new navigation services. The analysis and judgment results are made visible and used to inform recommendations(7) that are made to support end users.
To help customers generate new sources of value, Fujitsu will offer the techniques it has developed for leveraging its own data and using that data to make its operations more efficient or develop new businesses. This is done using "curators,"(8) a variety of specialized analytics tools, including mathematical or statistical data modeling, multivariate analysis(9), and machine learning(10). Currently these are available to customers on an ad-hoc basis, but they are scheduled to be organized into a standardized set of offerings by April 2012.
As data increases in scope and volume, the number of types of data, both in open sources and the holdings of other companies, is going to increase as well. Individual companies may find it increasingly difficult to leverage this data on their own. To briefly mention some of the benefits that customers can gain through the use of these services, the following are some of the ways that Fujitsu can help customers get more value out of their data:
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 Cloud services as a platform leveraging big data: Tentatively named the
Tentatively named the Convergence Services Platform in an announcement dated August 30, 2011
 Compound event processing:
A method of processing data in which each piece of data being constantly collected is treated as an event. The transition state for the event is repeatedly monitored, and when a pre-specified condition is reached, it triggers a scheduled process in which an operation is processed at high speed in memory. It is also referred to as complex event processing (CEP).
 Binary stream:
In contrast to data taking a routine form, such as in the form of letters or numbers, a binary stream is data sent in a special binary form, such as audio or video data.
Rules are created as customer applications and require registration through portal services.
In the context of data integration, federation is a method of virtually integrating data in which the virtual view of data to be accessed by a user is defined in advance. In this way, when the user makes an inquiry regarding the virtual view, the information required to respond to the inquiry is collected from the data source and integrated into the response to the user. The information taking the form of the virtual view appears as if it actually exists.
 Service mash-up technology:
A method of constructing web services in which multiple web services are assembled to created the required web service.
A method of providing information that aims to be useful to the user by selectively providing the information that each user needs or information that is appropriate to the status of each user.
Unlike museum curators, these collect, analyze, and share data based on a specific set of criteria.
 Multivariate analysis:
A statistical method of analysis that finds interrelationships between variables, taking data that relates to multiple variables as a starting point. This can be used to find, for example, relationships in data between age, sex, and purchasing history.
 Machine learning:
A method for discovering patterns, rules, and knowledge in massive bodies of data without human involvement, and using these to understand the present and predict the future.
Fujitsu is the leading Japanese information and communication technology (ICT) company offering a full range of technology products, solutions and services. Over 170,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE:6702) reported consolidated revenues of 4.5 trillion yen (US$55 billion) for the fiscal year ended March 31, 2011. For more information, please see http://www.fujitsu.com
All other company or product names mentioned herein are trademarks or registered trademarks of their respective owners. Information provided in this press release is accurate at time of publication and is subject to change without advance notice.
Date: 16 January, 2012
Company: Fujitsu Limited
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