IBM set up large Data Intelligence Application Center

Recently, IBM (NYSE:IBM) held the IBM 2014 unstructured Data Management user conference in Xiamen with the theme "insight into business opportunities, one step ahead". At the meeting, IBM Enterprise Content Management (Enterprise content MANAGEMENT,ECM) addressed the challenges of unstructured data management in a large data environment, providing a complete solution for the core industry and sharing the customer experience of IBM ECM in the human, financial and other fields. At the meeting, IBM announced that the United States and Asia Cupressaceae Information Co., Ltd. (hereinafter referred to as the United States and Asia Cupressaceae) to cooperate in the release of large data intelligent Applications Center. New large data intelligence applications Center, using IBM's leading technical advantage in enterprise content management and integrating the rich industry practices of Cupressaceae in public utilities and financial services will help companies coordinate knowledge, communication, content, and resources in key business decisions to gain large data insights from content.

Zhou, general manager of IBM ECM China, said "the focus of this era on big data has become a trend, and the goal of large data deployments is very clear, and it is the hope that data analysis will help make decisions." Businesses produce a lot of data every day, and a lot of unstructured data comes from Office documents, transactions or social networks, and how to efficiently get valuable insights from complex data is the key to making the right decisions. IBM in the Enterprise Content management field in the industry leading position, in the information collection, data analysis, value mining and other links have a sound technical support, can provide a complete enterprise content management solutions. Recently with the partners of the United States and Asia Cupressaceae published a large data Intelligent Application Center, has been in the financial, communications, medical and other fields have played an important role. We hope that more enterprises in the future through the enterprise content management, and constantly make the right decision, in the competition in an invincible position. ”

Work with the US and Asia to provide intelligent content management

The newly released large Data Intelligent Application Center provides comprehensive content management solutions for enterprises through the process of information collection, large data analysis and case processing. The solution supports the collection of data from a variety of sources and enables a customized intelligent analysis of data sources to gain valuable insights. Flexibility and convenience is one of the important features of the large data center solution, and the whole process of detection, analysis and processing can be observed in real time through friendly user interface.

In this collaboration, IBM partner Cupressaceae provides powerful data resource support for the solution. The United States and Asia Cupressaceae is the world's only two electronic data forensics listed companies, with the leading domestic electronic data forensics and security products technology, and in the administrative law enforcement agencies, law enforcement departments, financial institutions and other fields have a wealth of industry experience. The United States and Asia Cypress has the largest computing platform in the Hercynian-Xiamen Supercomputing Center, to provide enterprises with "on demand" data resources and services. Large Data Intelligent Application Center project, the United States and Asia Cupressaceae in the enterprise content management information gathering stage played an important role in the implementation of daily 6 million real-time data updates, the data platform provided by up to 7 billion of the basic data.

Comprehensive upgrades, insights from six dimensions

The 4V features of large data provide different dimensions for analysis, and new IBM ECM provides insight into six aspects:

Search: IBM ECM can be a key to the enterprise intranet for one-click Search, through a simple and convenient search interface to complete rapid information positioning and query capabilities. Analytical content can come from Web sites, file servers, content repositories, mail and collaboration systems, databases, and so on.

Business monitoring: IBM ECM can obtain information about specific markets, monitor new business opportunities or analyze current business opportunities through the Internet and corporate internal reports, intelligence, and market conditions.

Market analysis and Complaint management: IBM ECM can conduct complaint analysis from customer Survey feedback, service (call) center log, consumer review website, etc., to understand the focus of customer complaints, and to respond quickly to new points of detection.

Anti-fraud and risk assessment: Claim documents, policies, financial statements, reports, customer data, public records and so on for the all-round assessment of enterprises to provide material, IBM ECM for the target enterprise and target industry for a variety of analysis and detection, to understand the actual operation of enterprises, market feedback and other information, to avoid financial fraud, increase risk control capabilities.

Public opinion monitoring, Case analysis: IBM ECM uses the Internet information, social hot topics, sudden events, the rapid identification and directional tracking of the great sentiment, to realize the comprehensive analysis and forecast of the opinion and case.

Intellectual Property Analysis: IBM ECM helps companies understand the latest technological developments through patent databases, published literature, search, medical websites, subscription services, etc. to avoid infringement.

Use the advantage to help Watson foundations future development

IBM ECM, as one of the major IBM data solutions, integrates IBM's technical advantages in large data areas. In the data analysis of enterprise content management, IBM ECM utilizes IBM's ability of depth mining of text and natural language processing to analyze all kinds of text thoroughly, and to automate the process of text through language recognition, segmentation and clustering. IBM's Semantic Analysis technology provides automatic classification based on semantics and text for content management, ensuring the accuracy and efficiency of users in collating and analyzing large amounts of text data. Of particular note is IBM's rich experience in Chinese language and grammar processing and excellent technology to ensure that the content of the basic processing of the accuracy and comprehensive analysis.

This year IBM officially announced the launch of a powerful large data and analysis platform, Watson foundations. Watson Foundations The original IBM large data platform in terms of cloud capabilities, mobility, and rapid discovery insights. IBM ECM is the core of Watson's cognitive computing, and its content insights are based on textual analysis, which enables the realization of industry domain recognition through the organization of cases. In the future, IBM ECM will have more and more influence on the enterprise with the development of Watson foundations, the mutual promotion of the two is of great significance for the hair of large data analysis.