Various keywords in big data are dynamic expressions of the emotions and energy of the ever-changing times, and are constantly updated, reorganized and incubated. Read the key words in big data , so as not to be overwhelmed by massive information.
1 、 AI
AlphaGo defeated the top master of Go, Lee Sedol, and the supercomputer "Watson" became the new king of the "Jeopardy" program. With limited rules, the human brain is unlikely to outperform a computer that is constantly learning and processing huge amounts of computation.
Therefore, in the past, what we thought only humans could achieve, in the future, more can be achieved by machines. If industrialization liberates people from manual labor, then artificial intelligence is likely to liberate people from simple labor.
The ultimate value of big data lies in utilization, and technology is the means and driving force for the realization of the value of big data. At present, the most widely used combination of big data and artificial intelligence is precision marketing. For example, Alibaba's Taobao, through its search and transaction data, analyzes user behavior, and pushes potential demand products to users.
Google is one of the best companies at combining big data with artificial intelligence. Google provides optimized search engine services. The artificial intelligence in the background continues to evolve with the use of users. The more users who use it, the more optimized the search engine will be. After optimization, there will naturally be more users. In addition, Google has developed an evolutionary system for "semantic search". In addition to the search engine, Google also obtains a large amount of "unstructured data" through Gmail, Google Docs, etc., making Google's brain smarter.
For AI, through limited rules, continuous self-learning and improvement, it can solve difficult problems in a certain field. At present, the product applications of big data and AI include: image recognition, face recognition, fingerprint recognition, language recognition, intelligent control, etc., but these are still in the stage of weak artificial intelligence and need to be continuously explored and developed.
2. Share
How to commoditize data ?
With the upgrading of Internet technology, the large-scale collection and analysis of data has become the norm in people's lives, and extracting useful information hidden in data has become a reality.
After the extraction, how to "dig gold"? The most imaginative part of the big data industry is that it can integrate various data from different industries, provide a full range of three-dimensional data mapping, and strive to understand and reshape the user model from a system perspective. Therefore, the "openness" and "liquidity" of data become the key to data nuggets.
At present, there is a large amount of unstructured and irregular data in the government, banks and enterprises. Collecting this data and cleaning it into structured and regular data is a core part of the big data industry.
As the leading big data asset operator in China, Jiufang Big Data is the first company in China to propose data asset operation. Wang Sanshou, founder of Ninth Power Big Data, believes that if you want to have big data, you must first have the ability to extract, transform, and clean data, and break the barriers between structured and unstructured data to achieve information fusion and explore Take the value of massive data, so as to achieve the purpose of data transaction.
As the core value carrier of the information age, big data must have a tendency to transform into value ontology, and the capitalization of data, or further capitalization transformation in the future, will lay the foundation for a new business model in the future.
3. Safety
Big data is a double-edged sword, which can benefit society and the people. At the same time, if it is used by some people, it can also harm social and public interests.
Traditional security thinking has been unable to solve the security problem of big data. The traditional method mainly relies on dividing the boundary, separating the internal network from the external network, using terminal equipment to isolate risks, and using the network to guard the boundary to solve security problems.
On December 31 last year , the Ukrainian power company's network was attacked, causing the first-ever blackout caused by a cyber attack. In March of this year, a Syrian hacker group took control of the chemical formula of the water plant through a cyber attack, causing the water plant to stop water supply. With the emergence of mobile Internet and cloud technology, mobile terminals are shuttled among 4G, WiFi and limited cables, the network boundary has disappeared, and every Trojan horse and every vulnerability may attack pre-deployed security equipment and security software.
China is one of the biggest victims of cyber attacks. How to use big data to solve security problems ? It is no longer a problem for hackers to enter our system, but after they enter the network, they will definitely look for the data they need. After they find the data, If you find out in time before taking the data, you can cut off the attack, find the source, and infer other things.
A person can disguise voice and fingerprints, but there is no way to disguise behavior. This is data, and data can be used to see through everything. Any access behavior on the network will leave traces. The behavior of a hacker on the Internet is different from the normal employee network access behavior. Using big data, you can find out whether it has been attacked, who has been attacked, and what kind of data the attacker has? I am more concerned about what measures should be taken to stop this kind of attack. This method is a new security system under the data-driven security thinking. The system includes vulnerability mining technology, network attack technology, network sample analysis technology, and network address resolution database, Internet access to databases, etc. The massive big data system and big data technology composed of various big data is the traditional Internet + big data.
Bingdata helps aggregate massive data collected from multiple platforms, and provides enterprises with intelligent data analysis, operation optimization, delivery decision-making, precision marketing, competitive product analysis and other integrated marketing services through the analysis and prediction capabilities of big data technology.
Beijing Youwangzhubang Information Technology Co., Ltd. (referred to as Youwangzhubang) is a big data company based on big data and intelligently applied to integrated marketing. It is affiliated to Hengtong Group. Bingdata is its brand. Youwang's help team is mainly from Alibaba, Tencent, Baidu, Kingsoft, Sohu and mobile, telecom, China Unicom, Huawei, Ericsson and other famous companies in technology. It has both the genes of Internet and communication operators, and is the algorithm of big data. Analysis provides strong technical support.