IBM 2014 forum: Big Data is not a mirage can be completely landed

This Tuesday, IBM held the IBM 2014 Forum in Beijing, this forum is titled "Subversion and Innovation: Leading the new internet age". At the meeting, IBM China's chief technology officer, Cheng, Yuanzheng, chief economist at Peking University, Wang San, and deputy dean of the IBM China Research Institute, discussed the use and impact of large data in finance, healthcare and heavy-asset enterprises. Experts point out that big data is not a mirage and can be landed entirely.

Big data and finance--Yuanzheng: The Internet should replace the uncertainty problem

Yuanzheng said that internet finance is a new technology concept, and it is not technology but new thinking that is important. Internet processing mode from the demand side, the grassroots demand automatically born into products.

The important achievement of internet finance, such as large data and so on, is that it can calculate the probability distribution accurately and comprehensively. The low cost of Internet products, high permeability, but also let finance into the life of ordinary people.

But there are also problems with success--in Yuanzheng's view, internet finance is triggering financial risks. Since February this year, the financial competition of Internet enterprises has intensified, and also highlighted the risks posed by the large-scale financial industry.

In the past in the choice of bank deposits, ordinary people tend to keep their own meals, but with the introduction of Internet products, many people have their own meals have been money.

Deposits generally have a certain period of time, and for the bank is the most afraid of a run. Promotions like 11 are often paid on the same day, with a lot of cash, and such huge runs are likely to lead to rapid failure if they occur in small banks. Financial products should not be a t+0, at least a day to meet the deadline ahead of schedule.

Yuanzheng that the boundaries of finance and Internet companies lie in finance: dealing with uncertainty; Internet: replacing certainty. He pointed out two paths for future Internet companies: 1. Build payment system. Because "the hand pays, the delivery" is the certainty question, also can bring the objective Commission income. Internet companies are paying customers with high stickiness, so it is possible to replace traditional payments. 2, financial enterprises need to comply with the 842 agreement, and the core question is whether the Internet products generate interest, income is financial activities, and not live is the payment activities.

Large data and medical care--people returning to the original to restore real data

Wang San said that the data is an important resource--2013 year, the Chinese outpatient service reached more than 7 billion people, while the domestic 120 million diabetic patients, 200 million hypertensive patients. However, although there is a lot of resources, but there is no good data mining, analysis. The current data is limited to 20% of the structured data, while the remaining 80% of the unstructured important data needs to depend on the development of technology.

Information technology is not for people to live with it, but to use it to predict trends that will bring the normal person back to nature. In medical terms, mobile medicine, large data and other technologies, in the future can make medical more accurate-imagine the habit of living in their own rooms in the patient, in the hospital with many roommates roommate rest, unfamiliar people, unfamiliar environment, it is likely to affect the authenticity of the data, leading to doctors judge Deviation.

It is important to change the health care system to get the patient home. And with the advent of cognitive computing, one day people will return to the original person, not the machine person.

The impact of large data on heavy-asset enterprises--saving logistics cost and improving wind energy efficiency

Dong Jin, deputy dean of IBM's China Research Institute, said that as social, mobile and internet data increased exponentially, it was important for each enterprise to make use of the natural resource of "data".

Taking wind energy as an example, because wind power will be affected by weather factors, sometimes can not be connected to the grid will lead to the cost of electricity, through large data analysis, energy forecasting, can reduce waste. In the logistics, courier, distribution system, through the nearly 3,000 logistics vehicles to carry out GPS data collection, each month to obtain 1.2 billion data, and through large data depth calculation, logistics enterprises can reduce the cost of 15%, without changing the physical configuration of the situation, save tens of millions of logistics costs.

(Responsible editor: The good of the Legacy)