Big data may seem far away from us in the eyes of ordinary people, but in fact, big data applications have been around us all the time.
“I went to the German Volkswagen Company to do business consulting services. The problem to help them solve is how to produce a car in 5 minutes and produce a car in 2 minutes.†IBM Software Group senior engineer Ling Brown used this vivid 6th. The examples explain the application of big data.
At the China Computer Society Youth Computer Technology Forum held in Silicon Valley, Ling Brown delivered a keynote speech entitled “Big Data? Big Data!â€. In the speech, Ling Brown shared his years of experience and experience in big data application technology research. . He believes that the strategic significance of big data is not simply to grasp the huge data information, but to analyze and process these meaningful data.
"If big data is likened to an industry, then the key to realizing profitability in this industry is to improve the 'processing capability' of the data, and to realize the 'value added' of the data through 'processing'," Ling said.
He said that there is often a saying in the industry that big data is likened to a new "oil resource" because it is similar to human understanding of petroleum resources. People's understanding of big data also needs to go through a long-term process. A more preliminary stage.
He believes that data has become the most valuable asset of enterprises, and the competition between enterprises in the future will be the competition of data assets and data asset management capabilities.
Ling Brown said that there are four characteristics in the big data industry. First, the volume growth is fast and huge. Unstructured data accounts for 80-90% of the total data, which is 10 to 50 times faster than structured data. . The second is the diversity of data, appearing in different forms such as text, images, video and machine data. The third is the increase in value density, predictable analysis of future trends and patterns, and increased depth analysis of machine learning and artificial intelligence. Fourth, the speed is increasing. More and more real-time analysis of big data is replacing batch analysis. Big data technology is increasingly achieving “immediately†rather than “afterwardsâ€.
At present, big data has been widely used in many industries such as the Internet, finance, medical care , transportation, and retail. Relatively speaking, the application of big data technology in manufacturing is insufficient, and in the future, there is actually much potential to be tapped.
Ling Brown believes that big data technology can be applied to manufacturing through the following 10 ways: monitoring production processes, accelerating business integration, improving manufacturing performance, improving production processes, predicting supplier performance, monitoring production equipment status, and rational production planning. Refining quality management links, tracking production capacity and corporate financial status, and monitoring product operation and maintenance status.
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