Recently, the Chief Data Officer Alliance released the 2016 China Big Data Enterprise Rankings in Beijing. The "China Big Data Enterprise Rankings" released this time is jointly guided by the Peking University e-government research institute and China's new generation IT industry promotion alliance. The chief data officer alliance expert group conducts large data enterprise evaluation index system for domestic big data enterprises. Comprehensive assessment.
At the same time, the expert group also summarized the 10 major trends and 5 major challenges in the development of big data in China. Lu Sihai, the founder of the Chief Data Officer Alliance and the Secretary General of the Technology Sub-Committee of China's Next Generation IT Industry Promotion Alliance, made a wonderful interpretation. Lu Sihai analyzed the top 10 trends and five major challenges of China's big data development. The following is the live record:
Trend 1: Chief Data Officer begins to rise
As companies struggle to overcome the impact of change and need to compete against their competitors in the digital age, it is believed that more companies will focus on new executive positions – Chief Data Officer (CDO). And such roles will also be the backbone of the business development strategy. Domestic companies have begun to set up chief data officers, and some companies have set up full-time data departments.
Trend 2: Visualization drives big data civilians
Applications without code writing requirements have become a viable solution for enterprises to focus on, simplifying the process for business users to get the information they need. More and more powerful visualization tools will become a bridge for business people to participate in big data analysis and exert their subjective initiative. Visual development provides an effective way for enterprises with weak IT capabilities to apply big data. For example, give you a table of the proportion of netizens in all provinces in the country, let everyone find the top three and the third last in 5 seconds, it is estimated that it is very difficult, but if it is a column chart for everyone, it is estimated I can see it at a glance.
Trend 3: Intelligent Embedding
Mainly reflected in two directions, one is that various types of enterprise applications are more and more directly embedded in analytical capabilities, and the functions are constantly improving the products. Second, the "cloud + end" big data analysis processing capability embedded in various smart devices. For example, now there will be a voice assistant on each mobile phone, behind which is the support of the big data platform. The equivalent programs that have been released include robots, autonomous vehicles, virtual personal assistants, and smart consultants. In the future, the devices we are exposed to will move into the analysis and processing capabilities of big data.
Trend 4: Machine learning is on the rise
In the future, machine learning will become a necessary prerequisite for data preparation and predictive analysis. Many companies have seen advanced machine learning technology as the most important future strategic trend. The reason is that the future development of big data must solve more practical problems. Solving practical problems requires relying on a more complete algorithm model, and these are the places where machine learning can be used.
Trend 5: Open source application acceleration
The heat of the Hadoop ecosystem is still unabated, and Spark is rapidly emerging. Solutions based on open source technologies are becoming more sophisticated and applications are becoming more popular. The talent team based on open source is also growing rapidly. Open source allows more companies and organizations to quickly and cost-effectively enter the threshold of big data, and quickly try to do some experiments to enter this field.
Trend 6: Data services are gradually taking shape
I think there are three reasons: First, we can't all do miners of data, there is no need to do duplication of work. Second, the future of data must be multi-dimensional integration, in order to produce the greatest value. However, multi-dimensional integration will have data transactions, the essence of transactions is services, data services can better solve security, speed, timeliness and other issues, and is directly oriented to business problems, and can drive the rapid development of big data. Third, more and more enterprises use their own data for upper-layer application development, providing value-added data services, such as user account security detection and user suspicious behavior recognition.
Trend 7: The rise of the algorithm market
We know that the data itself is meaningless and worthless. Its value lies in the ability to solve some or a certain type of problem after analyzing some data through a certain algorithm model. However, the development of the law is very difficult. Over time, companies will realize that many algorithms and their own development, it is better to buy through the market, and then directly add data to it.
Trend 8: Internet, finance, health and heat, smart cities, enterprise data, industry Internet will become a new growth point
The Internet, finance, and health sectors are still at the forefront of big data applications. At the same time, smart city big data applications are more and more, and smart cities have entered a high-speed growth period. Big data is one of the core contents of smart city construction. For example, the smart city's operation center is also a foothold in the integration and utilization of big data. Above. With the development of enterprise data, the emergence of industrial Internet has emerged, and the application of big data based on industrial Internet is developing rapidly. The industrial Internet has begun to pilot in many places, integrating enterprise data in an industrial chain to optimize the development of this industry. . It has become a consensus to build a big data platform or to purchase external data services to enhance its competitiveness. More and more enterprises are implementing the stage.
Trend 9: Big data entrepreneurs show a return to the tide
Many founding team members of big data companies have overseas backgrounds. With the rapid development of the domestic big data industry, more and more high-end talents choose to return to China to start businesses. Combining foreign advanced technology with a huge domestic market is generally optimistic. For example, PTmind (Beijing Platinum Wisdom Network Technology Co., Ltd.) is a marketing big data intelligent detection platform company jointly established by Dr. Haiyuan Zheng Yuan and Dr. Xue Liwei. The company currently serves more than 50,000 companies worldwide; Gausscode Technology (Beijing High Tech) Technology Co., Ltd.) A company that provides big data applications, intelligent visualization and decision-making platforms in the United States by Dr. Cheng Jie, a returning company in the United States; Taste AnalyTIcs (Beijing Stuart Feiteng Technology Co., Ltd.) is a real-time dynamic created by Haigui Wang Xiaoyu Bochuang in the United States. Image Visualization A comprehensive intelligent data analysis enterprise with unstructured data analysis capabilities...
Trend 10: The industrial ecology is gradually improved, the industrial chain cooperation continues to heat up, and the “sand-sand phenomenon†appears.
The Action Plan for Promoting Big Data Development drives the rapid development of industrial ecology, and the division of labor is becoming more and more detailed. The integration of technology, products and services is becoming more and more important. Technology convergence and service integration through alliances are an important way for big data industry chain collaboration, and alliances including the Chief Data Officer Alliance are rapidly developing. At the same time, we also noticed that the collaboration of the big data industry chain has emerged a more in-depth integration model - the super joint venture model, representative of this year's establishment of the company, eight well-known companies in different links of the big data industry chain Co-investment was established to achieve deep integration of technologies, products and services, and to create a one-stop big data solution, which the industry called “the phenomenon of laksaâ€.
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