How CIOs view large data opportunities and risks

Recently, a number of CIOs on the mobile medical industry on the topic of large data and privacy to speak freely. Here's how CIOs understand the opportunities and risks of big data and privacy issues.

Big data now has great opportunities and challenges seem to be greater. High technical challenges, the low-end of the legal risk; http://www.aliyun.com/zixun/aggregation/9677.html "> Wearable equipment and large data are promising in mobile medicine, but is personal privacy the biggest challenge?

The biggest challenge for big data is ownership, who can legally get data value? Data producers are no longer owners of data, are data owned or processed? There will be a separation of ownership and use rights for a considerable period of time;

Data producers and owners to pay more attention to data security, which is from the data generation, acquisition and stored procedures to control, so and enterprises adopt a private cloud, the architecture of public cloud, SaaS or commercial packaged software will have a relationship, which involves information planning and strategic issues;

Kevin Kelly has a view in his visit to China that the balance between openness and privacy is determined by how small "me" and how big "them" are. On the other hand, large data drives in addition to human activity data, as well as machine-generated data, which is more suitable for large-scale processing;

Previous hospital data may be simple for their own enterprises to use, when the Big Data era, everyone in the value of large data mining, these privacy is very strong hospital data how to use, how to publish? If there is no proper and reasonable management standard, and effective security mechanism, the risk is quite large;

In the medical field, privacy is not too big problem, the hospital from the beginning has been kept with the real personal information related to health data; the definition of privacy changes with the times, humanities and so on, the standard will not precede the application, but should not be separated from the application too far. Regulators and regulators must have a certain "forbearance" force.

Personal Data privacy security has a lot of risk aversion, such as fuzzy individual information, group statistics services, Google's optin way, service transfer, etc., such as financial credit services, not the individual credit card records and bills to the leak, but only to convert to a scoring standard, This is the FICO score that everyone has accepted.

(Responsible editor: Lu Guang)