Wing minority CEO Lu Zhen - Profile in promoting regional data interconnection2022-01-27 00:03:37 52 ℃
Fiery privacy calculations have completed breakthroughs from 0 to 1, but it seems to have been criminalized from 1 to n.
Privacy calculations use technology to implement data. It is not visible and realized commercial landing, which can be said to be from 0 to 1. Many people may think that such creation and innovation are the most difficult, but thereafter, from 1 to N are not simple copied.
For a privacy computing technology service provider, the database is often done according to different scenarios, different customer needs, but not only increases the calculation cost, but also reduces data utilization efficiency.
This is another such a privacy computing platform for different enterprises. A single privacy computing platform may address a part of the data sharing and circulation, but n privacy computing platforms have formed new islands, but reducing the overall circulation of large data.
So more and more participants in privacy computing industry have begun to think about a higher level, a larger-wide data interconnection mode from a more macro level. The minority of the wing is one of the pioneers in this area. He believes that the Internet and the interconnection of data and algorithms will experience three steps, and will eventually go to a widely realized data and compute the Internet (IODC).
First, establish an independent data ecology, decoupling data provider, and data processing part based on privacy safety calculations, and open data supply and demand chain, which makes data security; secondly links multiple monomer platforms through platform federal links. Agreement implementation platform alliance, can achieve efficient data probing between the league platform, cross-platform data authorization use and data sharing of privacy calculation methods; ultimately form a broader data and computing Internet (IODC), implement data and Data interconnection, data and algorithm are interconnected, breaking the bottleneck of manual intelligence in the field of data.
Under the leadership of Luo Zhen, the number of wings has developed technology and products throughout these steps. The core is the company's self-developed privacy safety computing platform wing counting XDP, and introduced for the implementation of the second key node of IODC. "XDP Alliance" - forms data and compute networks by linking a number of wings of the XDP platform.
At present, the "XDP Alliance" has completed landing applications, from data collection, governing to intelligent application output, forming value output closed loop.
For example, "Yichang City Multi-Trigger Disease Control Platform" case through political enterprise data integration and various ministries and commissions of the infectious disease multi-point trigger warning mechanism is a typical data-driven intelligent infectious disease prevention and control case. "The Chinese Academy of Sciences Shanghai Nutrition Research Institute Node-Intelligent Square Platform" case has established a health care, biological information cross-regional data cooperation sharing mode, based on the "Long Triangular Biomedical Industry Big Data Alliance" built a new one Data Collaboration Sharing Ecology.
Lu Zhen said that IODC's ideas have been recognized more and more customers, because everyone understands the need to establish data computing networks, and willing to establish a regional or industry IODC network.
Building IODC can be said that the vision is large, perhaps the topic of privacy computing technical service providers, and truly impact in the actual scene, how to make various industry users recognize the value of data. Luo Zhen repeatedly emphasized that the minority of the wing is not satisfied with the technical tools to provide customers, but hopes to allow customers to obtain this tool to obtain the value of the volume of data by privacy.
The volumetricity here is meant to talk to the number. For example, in the case of the Ruijin Hospital, the wing is a minimum of wing to create a privacy computing platform, allowing hospital data to serve clinical application and medical research. Among them, in the endocrine department, hospital medical records are shortened from past 20 minutes to 5 minutes. Online 3 months, 47% of doctors use this tool in their daily work, and this usage is constantly climbing. In addition, related data also helps the Oncology to formulate proton tumors to governance standardization processes and complete multiple papers.
In the wave of intelligent era, Luo Zhen hopes to work with the minority of the wing to be a sense of mission of its IODC knitter, and it is also "practical distribution" to create real data value for customers in the specific scene. As he said in the message college entrance examination last year: "The star is not working in the road, the time is not a person", and the vision of unlocking data value is becoming a reality, and the IODC's data calculation network will eventually build.
Create IODC multi-dimensional interconnection
Mediterion 智 库:
Is there a business company to achieve a grand vision to create an IODC, what role does the state and the government need to play? What kind of planning or node goals in the wing of the number of wings in 2022?
Our capabilities and roles depend on different scenarios, I think the type of data source first, if it is a government public data, we actively participate in it. If it is a business data, we play a greater lead.
For the government's public data, we can play three roles. The first is to provide tools for IODC infrastructure, ie privacy computing platforms. The second is a docking requirement, that is, business companies that have demand for public data, as we know the value of the data. The third is to do data processing, because we have the ability to process the original data processing into data products so that demand can better use these data value.
In addition, in the business sector, we can lead the infrastructure construction such as data platform and data value circulation. For example, for the deployment of privacy computing platforms for the bio-pharmaceutical industry, allowing businesses to achieve data collaboration and data value sharing through platforms, such a completely commercialized data Connection is our commercial company can undertake. In 2022, we will continue to promote the business progress of the above two directions, as we see the utilization of public data has become a topic that all local governments are very concerned, and we will continue to promote data sharing in industries such as biomedicine.
Mediterion 智 库:
In the Internet world, the real geographical concept is weakened; in the data world, the data in different industries is clear. So in IODC, whether the value and difficulty of interoperability between different industry data is much greater than breaking the geographic limit? What kind of challenges do IODC in two dimensions in geographic connectivity and industry connectivity?
From our case, such as Yichang infectious disease multi-touch monitoring and smart early warning platform, and the two examples of "Long Triangle Biomedical Industry Big Data Alliance", representing the interconnection of the region and industries, they are Different dimensions have played a lot of value, it is difficult to say which model is worth more.
We can also borrow federal learning to make a class, the horizontal federal learning is like industry dimensions, longitudinal federal learning can see geographical dimensions, both of which are important. Therefore, at least until now, we cannot draw the geographical interoperability and industry interoperability.
Of course, regardless of regional connectivity or industry connectivity will have certain challenges. The scenes of geographical communication are more in public data in the government. The geographical characteristics of such data are stronger, and the challenge is that only local governments have the ability to coordinate data between different ministries.
Industry Connection is agency in an industry data ecology. Enterprises have a willingness to data sharing and collaboration, and the data and calculated networks connect everyone in series to solve the amount of data provided by the single data provider and the data processing power of the data owner itself. Insufficient problems, give full play to the data value through interconnection. Therefore, the challenge of industry connectivity is that different industry practitioners have awareness of data collaboration and data sharing, the higher the degree of cognition, and the smaller the threshold and barriers of data sharing.
Everyone benefits from data value
Mediterion 智 库:
In business practice, you can see which common characteristics and trends have the common characteristics and trends in the relevant terminal industry on privacy calculations?
In the past year, the number of customers in our customers is mainly from two types of customers. One is a government agency. The other is a company, and companies can also separate different industries, such as medical, financial, marketing, etc., and have a wide range of industries. In the contact of customers in various industries, we intuitively feel that the understanding of each business has greatly improved, including the understanding of the importance of the data itself, the recognition of data circulation, and the privacy Awareness. Many companies in the past could not clear the information and data, but today, the enterprises in almost all industries deeply understood the value of the data. I think this is also the promotion of the tide of digital transformation, and is also related to the state to produce data as production factors.
Mediterion 智 库:
Technology companies often rely seriously on capital blood transfusion, even if it is a long-term loss, how far is the privacy computing industry is "hematopoietic" or realizing business driver? Or which key factors do you still? The minority of the wing has also experienced multi-round financing, what is the expectation of profit?
We have been talking about privacy computing is a very important technique, which is a necessary condition for promoting data circulation, but it is not sufficient because privacy calculations do not produce direct data value. The embodiment of data value must be by artificial intelligence, statistical methods, etc. This is also why the minimum number of wings is not only focused on privacy computing itself, not just a technical tool for customers, but let them experience the final value of this tool. From our point of view, a core point to achieve business-driven is whether we have such an ability to bring directly to the customer directly, and can quantify data value. One of our constantly emphasized in the financing process is that data has become a production factor and has a lot of applications in different fields. It is also the stage of flourishing data elements market, so the number of wings will hopes to pass privacy in more fields. Stack technology hand dislocation data value. Now the overall business status of the company should be more than a relatively poor, in general, we are very optimistic about the company's long-term profit expectation. Of course, for short-term earnings expectations, it is still not considering this problem now. What is the problems in front of us still in more industries, more scenes to practice utilization technology to unlock data value.
Mediterion 智 库:
"There are only 1% of the people in the future to master the algorithm, and the other 99% of people can only provide data." Do you think that the prophecy of Youvar Hao Lili, whether the privacy calculation has this potential, so that everyone can both Be the Lord, can also obtain income, but also make people who want to master the algorithm have enough data to train algorithms?
Every data owner is looking forward to using its own data under their authorization, processing and generates value in some specific scenes, and it can also obtain income from these values. I think this is a more be effective, or more ordered data circulation state. The core of our privacy safety calculations is to provide a set of infrastructure for this more and orderly data circulation, so that everyone can do their own data, while letting you can securely authorize the computer parties to process your own data. Generate value, achieving the decoupling of data owners and processors, but also benefits from it, which is our initiality and starting point. As for the future, the future world is not only 1% of people mastering algorithms, and other 99% of people can only provide data, I think it may be like this. But we also have to see that the threshold of the algorithm is turning low, but also a lot of expertise compared to the past algorithms, now doing algorithms have been much easier. In addition, with the popularity of privacy calculations, more and more data can be utilized, supporting algorithm training, and more people can involve algorithms rather than just providing data. Dock value for customers
Mediterion 智 库:
Wing auginary number becomes the first batch of business in the Shanghai Data Exchange, is it possible to disclose more related details and roles in this system?
I understand the numerous understanding of the agent (Agent), he is not the owner of the data, nor is the data provider or demand side. He is actually a doctrine, helping the data owner processing data to form data products, but also meet the demand square. As a number, what we do is to promote data product transactions between supply and demand, using the original data of the data source, and do the processing under the premise of authorization, and then dock the demand side. Of course, we can also directly dock the demand for the data source, by themselves. In fact, in front of the Shanghai Data Exchange, our application platform has helped multiple data providers and demanders in the data platform authorized collaboration to implement their demands for data value changes and protection. The number of wings has always emphasized that it is a "0 data" data intelligent company because we do not hold data throughout the service, only the tools are managed to manage data and help our customers under the authorization. Processing data to get data value.
Mediterion 智 库:
Wings have grown substantially in the past year, and what services are mainly derived from growth? In summary, what kind of business model is more easily turned to the privacy computing technology service provider?
Our business growth comes mainly from the business of data value to customers, including intelligent applications based on Wing August-based privacy computing platform, of course, there is also a service that applies privacy compute platforms first. The general mode we experienced is that when you start contacting and initial service customers, in order to make customers more intuitive feelings about the value, you need to cut from a concrete data scenario. For example, we will give the application of the AI medical records for Shanghai Ruijin Hospital, which will make customers have a relatively strong direct feeling, and discovering that the data utilization efficiency of the hospital is significantly improved. When the customer tastes the sweetness of the data value, there will be a greater release of the data. For example, the data infrastructure should be a more wisdom of hospitals, and we can build more for them. Data circulation platform.
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