In the current Internet field, the application of big data has been very extensive, especially with the enterprise as the main body of the application of big data. Can big data really change the way businesses operate? The answer is undoubtedly yes. As businesses begin to utilize big data, we see new and wonderful applications of big data every day that help people really benefit from it. The applications of big data have reached into every aspect of our lives in a wide range of industries, including healthcare, transportation, finance, education, sports, retail and more.
Healthcare Warmth and Warmth
Through cooperation with IBM, Tongren Hospital has established a strong analytical capability and system, including the analysis of clinical, operational, scientific research, assessment and other information, to realize intelligent hospital management and assessment; and also to see the average failure interval cycle of medical equipment, which reduces the failure rate of the equipment, and the average maintenance time. All of this allows for a steady increase in work efficiency, but also alleviates the problem of difficult access to patients and improves patient satisfaction with medical care.
The future of healthcare is fragmented: human physiological data is collected by "wearable devices" or other terminals, automatically transmitted to the cloud, analyzed and processed, and then sent to the doctor, who gives diagnosis or rehabilitation advice. For example, daily health supervision, exercise and dietary guidance, or daily management of hypertension, diabetes and other chronic diseases, and even expected to customize their own health record for each person.
Intelligent transportation, smooth roads
Hangzhou Chengdao Technology adopts the Intel Apache Hadoop distribution, making massive image and video data not only reliable and high-performance storage, but also quickly accessible and usable by a large number of users. A city in Zhejiang Province can save the historical illegal data from 3 months extended to 24 months, from 2.4 billion over the car data to complete the motor vehicle's number plate accurate query and driving track query in less than 1 second.
The future of transportation fragment: driverless will release the driver's hands, in advance of the road condition information, and accurate control of the vehicle state. People staying in the driving compartment will enjoy the same entertainment and leisure experience as at home, with in-vehicle applications in the cloud. For example, the windshield, similar to the screen of a cell phone, can realize multi-touch and support video calls, and you can navigate, display road conditions, check the weather and nearby food, read e-books, reply to emails, and play interactive games with a few gestures on the glass.
Charming Sports Perfect Presentation
IBM specially designed MatchTracker (tournament tracking system) with real-time big data analytics for China Open, which can provide fans with data presentation, scoring and other functions. MatchTracker is based on IBM SlamTracker analytics, enabling fans to utilize historical and real-time data to gain insight into post-score dynamics and strategies. In addition, IBM has built a secure and agile intranet for the China Grid Organizing Committee.
Snippets of the future of sports: In the future, match days will bring fans memories that will last a lifetime. They will not only be able to receive tailored information from the players, but also be able to get access to purchase concessions through their mobile phone-supported loyalty accounts, and even receive real-time battle conditions in between trips to the restroom line; if they encounter someone emotionally out of control, the fans will also be able to report it immediately through their cell phones, and specialists will quickly call security personnel to ensure the smooth running of the game and improve the overall management of the stadium; can you imagine the benefits of bidding for a post-game press conference from a Can you imagine bidding for seats for a post-match press conference on your cell phone? Or taking photos with players outside the checkroom? These will no longer be dreams.
Intelligent Education Source of Innovation
In order to meet the explosive growth of users and data volume, Tongji University, together with Dawning, has built an industry-leading big data flexible processing platform based on the comprehensive integration of cloud computing platforms and existing assets, using the DS800-F20 storage system, the Gridview cluster management system, and the Hadoop distributed computing platform. processing platform, which enables Tongji University to take a new step forward in the field of information discipline and its interdisciplinary research.
Future Education Fragment: In the future, personalized learning terminals will be more integrated into the cloud platform of learning resources, and according to the different interests and strengths of each student, it will push the cutting-edge technology, information, resources, and even the direction of future career development in the relevant fields, and so on, and will be carried through the whole process of lifelong learning for each person.
Comprehensively embracing the era of financial big data
Huawei provided Agricultural Bank of China (ABC) with a good computing platform, a distributed parallel computing cluster based on Huawei's RH2288 V2 servers for testing, as well as R&D capabilities to quickly respond to customer needs and the industry's most responsive after-sales service. Test results from the Agricultural Bank of China (ABC) show that Huawei's solution fully meets ABC's requirements for distributed processing of massive amounts of data.
Future Finance and Insurance Segment: Through the perfect management of personal credit information through big data processing, public **** organizations are able to minimize risks and thus maximize the efficiency of social management.
Retail Marketing The Ultimate Experience
As one of the largest retailers supported by China's Ministry of Commerce, Beijing Hualian Group deploys Oracle Retail Application solutions to optimize operations management, thereby improving business agility and enhancing the management and implementation of key goods, pricing, inventory, supply chain, and transaction processes. It fully supports the continuous growth of its various businesses, including hypermarkets, general supermarkets, department stores and commercial real estate.
Future Retail Snippet: From the moment a customer steps through the door of a department store, the store's clerks can look up such consumer big data on their portable devices, where they can easily retrieve the consumer's personal profile and get a snapshot of that customer's recent social media feeds, and you'll know his/her name, his/her height, his/her payment history in-store and online, and even his/her views on life, universe and everything in it, and so on, such as whether he's ready to have a good vacation or struggling to find an evening gown that suits her.
The emergence of big data in telecommunications
Beijing Xinhe Yuntong Technology Co., Ltd. has chosen the IBM PowerLinux platform as the infrastructure platform for Xinhe's big data solutions and has helped more than 10 telecom operators in China to complete the implementation of big data and analytics projects, and it is the leading independent software developer in the telecom industry.
Future Telecom Segment: Telecom operators can use big data to serve their own products, analyze user behavior through big data, improve product design, and analyze user preferences to recommend services in a timely and accurate manner, and strengthen customer care, so that they can continue to improve the user experience, and increase the user's consumption of information as well as viscosity to the operator; they can also analyze network traffic, flow trends, and the impact of the network on the user's life. traffic, flow trends, timely adjustment of resource allocation, while also analyzing network logs, network-wide optimization, and continuously improve network quality and network utilization; also through the comprehensive analysis of business, resources, financial and other types of data, quickly and accurately determine the company's business management and market competition strategy;
The above seven areas are the areas in which the application of big data is the most common, and, of course. With the increasing maturity of big data technology, there will be a lot of other big data applications, as well as many new use cases.