IBM large data processing and analysis entered the age of cognitive computing

The complexity of large data processing poses many challenges to data acquisition, storage, management and analysis. How to discover the latent value of the data, how to realize the cognition and judgment of the similar human brain, discover the hidden relation between the data, and make the right decision, which is more important in modern society.

Cognitive computing comes along with large data processing

At the IBM2014 news conference on March 6, IBM demonstrated its great strides in developing business practices from large data and analysis to cognitive computing. IBM has upgraded its full range of data and analytics capabilities covering software, hardware, services, research and development, announcing the industry's first realization of the commercialization of cognitive computing capabilities, and a new cognitive analysis to help enterprises accelerate the implementation of large data and analysis capabilities. and announced that its large data analysis platform renamed Watson Foundations, "Watson" as a "cognitive computing" synonymous with IBM's future large data processing strategy direction.

The era of cognitive computing is accompanied by large data processing. In the cognitive computing era, the new vision of business will be "intelligent Enterprise", the enterprise goal from "to do the lowest cost products," to "maximize customer value." Cognitive computing Systems (assistance), understanding (understanding), decision Making (Decision), Insight and Discovery (Discovery) help enterprises to quickly discover new problems, new opportunities and new values, and realize customer-centric wisdom transformation.

Watson Foundations is IBM's original large data processing analysis platform upgrade version, its function in the following three aspects of the upgrade: 1 can be based on SoftLayer deployment, IBM large data analysis capabilities to the cloud; 2 Extending IBM's unique large data consolidation and governance capabilities to areas such as social, mobile, and cloud computing, 3 enables companies to exploit Watson's Analytics technology to explore new insights quickly and independently. As a major technical innovation in IBM's large data and analysis field, Watson Foundations will help enterprises to realize the stage of large data capacity deployment for enterprises to create a pathway into cognitive computing.

Wangxiaomei, director of IBM's Big China Data center, said IBM had renamed the Big Data analysis platform Watson foundations because IBM clearly recognized the customer's need for cognitive computing and cognitive analysis. Within IBM's perspective, Watson is synonymous with cognition. Within IBM, cognitive computing has an important element, which is the ability of artificial intelligence and machine learning, and has relevant elements and functional modules. This function module can be stripped of the software and hardware, so it is not necessary to fix it on a hardware platform when interpreting Watson Foundation.

Cognitive computing is not IBM's strong push to customers, but the customer's business needs drive the development of cognitive computing. Wangxiaomei explained that the client's requirement for a large data analysis system was a typical description of the cognitive computing systems, which were static and based on the one-time modeling analysis of existing data at hand. But now it's a big, fast-moving data age that produces a lot of data every day, such as microblogs and micro-letters, which are valuable information. As the data increases, cognitive analysis is gradually increased, which is "cognitive computing".

IBM believes that the cognitive computing that Watson represents is the direction of future data, and IBM invests heavily in the development of relevant technologies and the establishment of the biosphere. Starting in November 2013, IBM has offered Watson Technology, tool box API programming interface to partners. I hope to use the cognitive computing software and system of Watson development period. IBM has also created a Waston content repository, where vendors can provide content for Waston, including general-purpose and proprietary information, such as health-care data.

Analysis: A blueprint for value: Big rewards for large data processing

The Conference also focused on the global research White Paper "Analysis: the blueprint for value." The White Paper sheds light on the successful practice of "analysis for the Big Data", which is illustrated by numerous industry cases: how businesses derive business value and transformational kinetic energy from large data. As a result, the white paper identifies the "three main elements" of the achievement of large data practices: strategy, technology and organization.

"As a leader in large data areas, IBM's End-to-end data and analytics capabilities have helped more than 30,000 customers worldwide to achieve greater business returns," said Jason Kelley, a partner and vice president of global Business consulting services at IBM's Greater China region. 2014, IBM will continue to upgrade the investment in large data, on the one hand, continue to deepen in the financial, telecommunications, medical, retail, manufacturing and other industries practice, on the other hand to enhance the large data and analysis and cloud computing, mobile, social and other hot trends of convergence, as well as the realization of cognitive analysis and large data application of the continuous integration. ”

Analysis: The blueprint for value research results show that One-fourth of CEOs and COO advocate the use of large data analysis (24%), which has increased by 10% since 2012. Based on the continuous research and practice over the years, IBM has put forward the "six priorities" for the implementation of large data strategy in the light of the real needs of the enterprise: by discerning customers and customizing marketing, building new business models, innovating financial processes, managing risks, optimizing operations, avoiding fraud and reducing it costs These six major priorities will also become an important way for enterprises to use large data analysis to realize value.

"Analysis: The Blueprint for Value" is the most comprehensive business behavior survey of IBM Business Value Institute so far. The white paper reveals the successful practice of large data processing, explaining how businesses derive business value and transformational kinetic energy from large numbers. As a result, the white paper identifies the "three main elements" of the achievement of large data practices: strategy, technology and organization. Please click here for details.