What jobs will be replaced by big data?

Big Data What jobs will be replaced?

The development of the Internet has made many industries encounter Waterloo, many practitioners who do not understand the Internet era, after the wave of the tide, after the exit of the competition seats. As a matter of view, we see newspapers closed, department stores closed, travel agencies beyond the ends.

However, the development of technology will not be due to the decline of the industry, a large number of staff unemployment and stagnation. On the contrary, it will only become more and more ruthless impact on the backward industry. Foxconn employs a large number of machines and has dismissed huge numbers of employees, broadcasting technology has broken the monopoly of the television industry, and has given birth to a new era of network red, the newly developed real-time translation headset mass production, a large number of translators are about to lose their jobs.

The brutal development of the times lies in this, practitioners not only need to compete with the practitioners, but also need to compete with time, to run to win others, but also to run the pace of technological development. A bold prediction that today's booming big data industry will kill a lot of industry and let many practitioners lose their jobs. It's not alarmist to see what big data companies are doing, and it's easy to imagine that many jobs are about to be replaced by technology.

Financial personnel

Financial personnel is the banking, insurance, financial industry, the sharp talent, while the enterprise's financial control of the development of enterprises. This seemingly plated careers industry now has a high social status. Unfortunately, I firmly believe that financial personnel will be the first category of people to be eliminated by big data.

The reason that financial personnel will be replaced by big data is because the core of finance is data, good finance is able to constantly dig up effective data, analysis of data, a pile of chaotic numbers into a methodical chart, exposing the core of business, risk. Sadly, what you're doing is not exactly the same as big data technology.

For example, China's leading big data service solution provider BBD(Chengdu several linked Ming products), developed HIGGSCredit (Hao Geyun Enterprise Holographic portrait),BBD Financial Services Line (BBD Finance ) and other products, will be a large number of manual search data, classification data efficiency greatly improved, through crawling, so that a lot of information one-click Direct. Enterprise internal ERP or Enterprise related parties, easily through the data visualization, for wind control, pricing, investment put forward the most powerful basis. Labor time-consuming, now a second direct. Now high-end financial workers, do you feel the pressure?

Lawyer

Lawyers and their aides need to sift through thousands of documents related to the case in the discovery phase of the lawsuit. Now, complex databases can take advantage of big data technologies, such as synchronous analytics, keyword recognition, and so on, to do the same work in less time.

in fact, similar IBM supercomputer Watson's similar machine learning system can be legitimately "trained" to review precedents and jurisprudence histories, and even draft legal abstracts. Traditionally, the work has been done by a law firm as a paralegal. But don't assume that only the work of a paralegal is in jeopardy, and even a barrister with a high-paying, predictable case will be spared.

A statistical model designed by researchers at Michigan State University and South Texas law School can predict the outcome of the U.S. Supreme Court 71% case. This predictive power may be the most valuable service a lawyer can offer, but it is easily replaced by computers.

Reporter

Journalist, a work of playing with words, a work of dealing with people, seems hard to be replaced. But a journalist replaced by technology is not alarmist, but a fait accompli. , the Los Angeles Times has developed robotic writing technology, where reporters are competing with the same pile of robots. Behind this is the further development of big data technology.

Many of the journalists ' work can now be done automatically using machine learning tools, such as narrative science (news stories that create natural language by analyzing data). Just a person who can type, enter the key information, big data automatically match the corresponding style of the news manuscript. And big data is definitely more popular, because it's based on a lot of reading data,

Headhunter

headhunters in the internet age can survive, eat is the asymmetric information. Because information asymmetry, headhunting to candidates and recruiters have brought a premium, and this part of the premium is the value of headhunting. However, the information is data. the more the data becomes larger, the more symmetrical the information is, and the value space of the headhunter shrinks.

already have the Internet company began to focus on, a pain guest platform from Guizhou committed to using crowdsourcing to solve the various industries of the professional pain points. Their technical barriers are big data precision talent matching sis (FALCON), professional pain points must find professional background expert,FALCON System by crawling the major resume website, university talent Information, Formed its own database. To find the pros of different industries, big data matching system is a key direct.

In fact, this database is the headhunting resource pool, headhunters no longer have the information asymmetry. But whether it is to build efficiency, or use efficiency, headhunting of labor costs, are far more than a simple big data matching system. This is the pain of the platform , the courage to use crowdsourcing to solve the high threshold professional pain point of the cause. For example. looking for a reward for human nerve growth factor purification; a reward for Building a new energy vehicle charging network system. These high threshold pain points, through the FALCON Data System, a key to find sophisticated professionals, the problem to the most professional people to solve.

What jobs will be replaced by big data?