Reorganization of Hard Tech Industry, Testin Keynote Big Data Disruption

November 8, Xi’an, the Global Hard Tech Industrialization Summit 2017 was held, a large number of global industry professionals including Bitcoin founder Jeff Garzik attended the conference. Testin Wang Jun delivered a keynote speech titled “Restructuring of Information Technology Industry – Making Big Data Creative.”

Wang Jun pointed out that the reconstruction of the digital technology industry can not do without the big, cloud, flat, shift these four keywords (big data, cloud computing, platform, mobile), and its core is the massive, sustained Big Data.

In fact, big data has already existed along with the evolution of human beings. However, it only takes people’s attention after the rapid development of the mobile Internet. It has its own value even in computers and even cloud computing. The value of big data on the industry, recently just got the consensus of the industry, the whole society, especially at the national level will also be “Internet + Advanced Manufacturing Industry” as the focus of industrial development, a few days ago, the State Council press conference, presentation “deepen “The Internet + Advanced Manufacturing Industry” Guiding Opinions on Developing Industrial Internet “will speed up the development of industrial internet platform to promote verification, push millions of enterprises to cloud and nurture millions of industrial apps.

Industrial restructuring, coordinated development, big data can not be separated from the application of quality, intelligent analysis and system security, Testin cloud surveying as a global leader in one-stop quality of service leader, indifferent to all industries in close cooperation for the development of China’s Internet industry make a contribution.

Traditional big data comes from data warehouses in businesses such as business transactions, networks and ERP systems.

With the popularity of the mobile Internet, there are 724 million people in China that have social data precipitated through 3.11 million different apps in China. Big data really aroused the public’s attention. Globally, more than 1 billion users of Google Play , Downloaded 82 billion Android programs in 2016, and the number of developers who installed more than 1 million monthly programs also increased by 35%.

“The Minority Report,” a film starring Tom Cruise, described the criminal attempt to detect human beings by using technology to read “Prophet” brain waves in 2054, Scene before arrest can be arrested.

In the real world, “the Prophet” is what we often mentioned in recent years – big data analysis. He also showed the big data generated by the most-mentioned sensors at the moment, which will really trigger the data flood in the world today.

Various segments of the traditional industries are experiencing intense collisions with the Internet, convergence, underline super vigorously on the line, and electricity providers are also aware of the indispensable offline off the assembly line, the traditional Internet banking, Internet finance have opened the line Services, the traditional mode of operation of the industry is being broken.

Wearable focus on people’s physical big data

A once hot, cold, but hotter track is the variety of new sensing technologies for diagnostics and health tracking that are moving to the market at an unprecedented rate. According to market research firm Juniper Research, worldwide retail sales of smart wearable devices will reach $ 53.2 billion by 2019.

Wearable technology can be divided into three categories: “notification, tracking and glasses”, the use of ‘Internet of things’ to create a beautiful intelligent digital human environment. Solve the problem that users really feel headache.

With the development of new sensing technologies, wearable sensor technology is making rapid breakthroughs. By collecting, integrating and analyzing these sensed big data, we can effectively master:

  • Patient (or athlete) for understanding and improving personal performance;
  • Therapists (or coaches), for their guidance in individual treatment (or training), and the use of aggregated data to understand and quantify the effects of various training (rehabilitation) methods;
  • Insurance, collecting data, customizing insurance plans, optimizing patient protection and parity care;
  • Policymakers and insurance companies to integrate new wearable technologies into their businesses to improve the patient’s condition, fit and safeguard its healthcare services.

Wearable Big data analytics is the soul of the total solution and is being used to solve difficult issues.

Smart home, office focus on people’s lives and work big data

Smart home, office As in the most intimate unit of human society sensor, all human behavior will be exposed.

Each of us is a contributor to data, with an average of about 200GB of data per person worldwide, and smart home as an emerging area surrounding people and devices, big data is also self-supporting. We talk about valuable acquisitions. If we do not know which data to collect or give up, we may not know how to set up or know what technology to use or even collect a lot of useless data when building data analysis systems The information is purely a waste of time. We can store the company’s operations, products, user usage, equipment information, but the extraction and analysis of a clear and orderly planning, the final value of the data makes sense.

The data generated by the smart home system contains a very wide range of data, including both hardware sensor data, the data running status of the hardware itself, data exchanged between the user and the hardware, data generated by the user through a client such as an APP, and more User’s own habits and scenes of life data, etc., which led to the overall smart home data generated by the accumulation of speed and quantity are large. Smart home business initially driven around the business, the following data must be collected, it is recommended to adopt a distributed large-scale cloud storage architecture to meet the rapid development of business and the inevitable trend of innovation needs.

Smart home big data collection content, including APP usage, fault self-diagnostic information, service operation information, user portraits, device usage status, user usage behavior, APP interaction, user information data, device function information, user information, device Function information, device logs, APP logs, sub-device parameters and operational status, among others.

Smart home is the starting point for multi-area integration, is the support point of social family management, is the livelihood of the new highlights of service. IoT to produce big data, big data to support smart home, from smart home to data and then to intelligent, constitute the entire process from perception to cognition. Big data is the commanding point in the competition of intelligent hardware, which can help hardware manufacturers tap user’s device usage behavior, enabling manufacturers to understand their users and optimize product strategy and marketing strategy. You can also learn from users, create user portraits, provide personalized smart experiences for different users, provide personalized discounts to different users, and increase secondary sales. You can also do the analysis of equipment activity, failure rate analysis, so to guide the product, the hardware behind how to do iterative layer, how to do upgrades, including know what features users like to use, users at what time period like to use this feature, know behind Marketing strategy for which regions as a priority. The use of big data can dig out a lot of value, which needs to continue to explore in the field of IoT.

The introduction of big data in the smart home sector will better serve customers and users. In the future, all the devices in the home will realize the function of big data collection and control, and the interoperability among devices and between devices and people. The service level will be improved based on data analysis so that people’s lives will be healthier and more comfortable. Enterprises rely on data management platform, you can get through, the integration of different user groups tag data to form a richer user portrait, full use of data value to better serve the corporate customers. The current large-data-driven marketing system established by the enterprise serves customers in the fields of home, automobile and fast moving consumer goods.

Such as home humidity and temperature control, through the long-term acquisition of the family’s living habits data, through the cloud computing, come to the comfort of the family temperature and humidity below or above this temperature or humidity, intelligent products Can automatically adjust. As another example, hard working children can be intelligent devices to real-time attention to the health of parents living in home, the family’s parents every time blood pressure, blood glucose and other measurement data will be automatically sent to children’s equipment, if something strange happens Will take the initiative to alarm. These are big data era, the most simple application of intelligent home life.

User data in the end can do? Fools will say that user behavior analysis, ah, once mastered these data can be pushed to the user on a regular basis value-added services, a value-added services no one, who will user data as the future cash cow, who also think Now give up the user data will lose the future of the market, so appliance makers have become cautious, and now if the use of millet or Baidu, Ali cloud, it means that the data hand over, the need for user behavior analysis in the future also need Pay for these users, use their own terminal to collect data in turn want to use the data when they have to pay? They feel too much loss. Moreover, the big companies such as Midea, Gree and Haier have their own research institutes. The ability to research data and analyze user behavior is not under Xiaomi, Baidu, and Ali. Paying users for their analysis is equivalent to deny their previous work, So beautiful, Haier and Gree also want to collect their own user data for analysis.

Internet companies and hardware manufacturers think that big data is deadly straw, hardware manufacturers feel that their hard-working user data accumulated so overwhelm others, the future may be irreversible mistakes. Internet companies feel that they have the advantage of rapid dissemination, conduct their own user behavior analysis more professional. Internet companies do not have the hardware, the hardware manufacturers need data support, hardware vendors seem to be on the initiative, but the Internet sales is a must-see sales channels, hardware vendors can not completely rejected this cooperation. So it seems that the strategic alliances that have already been reached are really just strategic alliances, but they actually do their own business and each does their own thing.

Intelligent driving focus on people’s travel big data

Broad sense of intelligent driving has actually been integrated into people’s daily life, such as worship of bicycles, the future may be a shared independent box, go out to be accessed by a similar train autopilot road vehicles, we temporarily call it a car because he may No longer using fossil fuels, long haul access to unmanned high-speed rail, and even autonomous vehicles, all due to the efficient handling of massive amounts of big data.

It is predicted that by 2020 there will be more than 1 million unmanned vehicles on the road, a driverless car driving on the road will generate 4TB of data per day, 1 million unmanned vehicles generated daily data Equivalent to the data generated by 3 billion people daily.

TB is a unit of computer storage capacity that equals 2, the 40th power, or nearly a trillion bytes, or a thousand gigabytes. The PB is a unit of data storage capacity equal to 2 x 50 bytes, or approximately equal to 1000 TB in value. Data units from small to large: B, KB, MB, GB, TB, PB, and so on.

According to research, the capacity of human brain memory is estimated at 1.25TB, and most of these memory capacity, like our own computer hard drive, was a lot of vacancy.

Performance, security is particularly important for industrial big data

Industry restructuring, coordinated development, big data is inseparable from the application of quality, intelligent analysis and system security, Testin as the world leader in one-stop mobile application cloud testing services, will be responsible for close cooperation in all industries, by “Internet + advanced Manufacturing “to develop the industrial internet and contribute to the development of China’s industrial internet. It will continue to provide the necessary one-stop application testing services for mobile applications, games, VR / AR, wearable, Internet of Things, and artificial intelligence developers. Quality assurance.

Testin is a testing service based company which specializes in mobile app QA testing. After testing of 2+ million apps, iteration tests 180 million times, in 7 years’ time, Testin has grown from an idea to a leader in the Mobile APP Quality Assurance industry. Testin has secured US$84.9 million in 3 Rounds from IDG, Banyan, Haiyin, and CEL, and it succeeded not only in capturing the domestic market of China, but also in setting its foot into the global arena. Testin has been recognized as 2014 and 2015 Zero2IPO v50 China, 2015 and 2016 Deloitte High-Tech & Growth Top 50 China, Red Herring Finalist 2014 Asia 100, 2015 Global 100 and 2017 Red Herring Global 100 Winner. By addressing mobile and OS fragmentations, app’s compatibility, functionality, user experience, performance, security and analytics, Testin has helped thousands of developers (including McDonald’s, Nestle, Starbucks, Daimler, BMW, Philips and Kabam). Testin’s mission is to help developers build confidence in their applications and ensure a good user experience.

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