Amazon Cloud Technology held in Beijing, big data and artificial intelligence technology news media communication, announced the release of "cloud, digital, wisdom trinity" of big data and machine learning combined service program components. Amazon cloud technology also joint music I endless (Joyme), Shanghai Xinzhaoyang (Convertlab) and other partners *** enjoy the Amazon cloud technology in the promotion of the company's number of wisdom in the field of the combination of relevant examples.

Chen Xiaojian, Product Manager, Greater China, Amazon Cloud Technology, said that Amazon Cloud Technology has two key core concepts in the field of digital-intelligence integration: first, the completion of the combination of data and intelligence in the cloud will become a module to accelerate the company's independent innovation, and secondly, the company should create a unified data base in the cloud to complete the "double sword" of big data and machine learning, which will help the company to achieve the best results in the future. and one" to provide a new engine for the company's development.

Wang Xiaoyo, head of the technical expert team of the product department of Amazon Cloud Technology Greater China, analyzed in detail the effectiveness of Amazon Cloud Technology's "Intelligent Lake Warehouse" framework in the direction of a variety of updates to the general direction of deep intelligence.

How to combine big data and artificial intelligence applications? Amazon cloud technology in this regard carried out what scientific research and exploration? The combination of big data and artificial intelligence technology, and what changes can be produced to the company's users? The article carries out an in-depth analysis of those issues.

Chen Xiaojian said, along with the company's data more and more, machine learning entity model more and more excellent, many companies look forward to based on the combination of big data technology and machine learning technology, to further promote the company's work of independent innovation, improve the company's output rate.

However, companies usually encounter a dilemma: they have a lot of data and analysis measurements, and try a variety of leading machine learning entity models, but it is difficult to have a specific business process output rate. From the technical development seems, big data technology and machine learning technology is not the same line, big data focus on data collection, enhancement, and machine learning technology focus on optimization algorithms for their own enhancement, tuning reference.

Chen Xiaojian talked about, in general the company's machine learning production manufacturing encountered three levels of challenges. First, big data and machine learning divide and conquer, these two parts are usually not the same elite team to undertake, very easy to data desert island, technical desert island, hold back the rapid gradient decline method of the relevant application. Secondly, the ability of data solution is insufficient to solve a large amount of business process data, which holds back machine learning from experimentation to practical activities. Third, the data analysis staff's attention is low, product development product testing performance is good calculation method entity model, it is likely to form in the specific application of the role of less idealized, due to the complexity of the real natural environment is a little more some.

Therefore, the Amazon cloud technology released a "cloud, digital, intellectual trinity" service program components. The first is to build a unified data remediation base in the cloud to get rid of the data and expertise desert island.

Amazon Cloud Technology helps users to build a unified data remediation base by helping them to complete the unified supervision of the data *** enjoyment resources and data management authority of the user's common big data and machine learning applications, and their unified development design and step-by-step editing. For machine learning to provide production and manufacturing level data solution work ability, boost machine learning from experiment to practice activities.

Amazon Cloud Technology can provide a variety of flexible and expandable, professionally constructed big data service projects to help users carry out more complex data production and processing level solutions to cope with the changing law of the scale of data management and improve data quality.

Let data profiling intelligent system, subversive innovation company businessman to explore independent innovation. Amazon cloud technology to provide users with more automated data profiling service projects, so that the businessman will be able to carry out data analysis system, entity model actual effect certification and its independent independent innovation. Chen said hundreds of thousands of users around the world are applying Amazon Cloud Technology's big data and machine learning service program.

Last year, Amazon cloud technology released the "intelligent lake warehouse" framework, to provide users with relevant digital intelligence service projects. Wang Xiaono *** enjoys from the announcement to now a year so far, Amazon cloud technology "intelligent lake warehouse" structure has what new transformation.

A unified data remediation pedestal level in the cloud, Amazon Cloud Technology's AmazonSageMakerStudio can be a one-stop shop for data development and design, physical modeling and the corresponding manufacturing daily tasks, providing a unified software development platform for big data and machine learning.

Amazon CloudTech can also provide AmazonLakeFormation, which utilizes a newly added numerous roles to assist users with data grid diagrams departmental collaboration of data property *** enjoy resources, and its coarsest-grained permissions management system based on worksheets.

Providing machine learning with manufacturing-grade data solution functionality level, Amazon Cloud Technology has AmazonAthena, a big data service platform that can be applied to a wide variety of open source frameworks. AmazonAthena can be used for AmazonEMR, AmazonAurora, a high-performance associative database, and NoSQL database service projects. AmazonDynamoDB, AmazonRedshift and other data sources of data to carry out the federal government view, so as to quickly carry out machine learning models of data production processing.

Amazon Cloud Technology has also built the ability to think logically without network servers, including AmazonRedshift, Amazon ManagedStreaming for Apache Kafka (AmazonMSK) and AmazonEMR and other applications. This allows users to address all operational scale data without having to equip, expand, or manage the method's lowest level of infrastructure construction, and provides users with characteristic data advance preparation that balances features and cost-effectiveness for new machine learning projects.

Data profiling intelligent system level, Amazon cloud technology in the daily analysis tools integrated machine learning model prediction work ability, but also to provide such as visibility data in advance of the preparation of special tools AmazonGlueDatabrew, zero coding machine learning model tool AmazonSageMakerCanvas and other services, so that the businessman explore machine learning models.

AmazonCloud also invited the organizations of two of its partners, Leme Endless and Shanghai Xinzhaoyang, to *** enjoy the environment, process, and results of their collaboration with AmazonCloud.

Yang Fei, director of the data research and development center of Leme Infinite, said that the economic globalization of the live broadcasting platform LiveMe operated by Leme Infinite has users from more than 200 countries or regions, the amount of data is particularly large, and also to ensure that compliance management and operation.

LiveMe is built according to the solution of Amazon cloud technology to live content identification technology, fraudulent trading identification technology. Live content identification system to assist Le my endless improve the user experience, reduce the content management system work cost fee. L'Amazonia reduces fraudulent, non-paying sales based on fraudulent sale identification technology, thereby reducing property losses by millions of dollars per year.

Li Zheng, Founder and CTO of Shanghai Xinzhaoyang, said that Shanghai Xinzhaoyang and Amazon Cloud Technology have collaborated at the level of strategic transformation of marketing and promotion enterprises. Shanghai Xinzhaoyang is a marketing cloud producer that can provide integrated marketing cloud merchandise.

Intelligent marketing promotion based on data will generate a lot of opportunities for company users. Artificial intelligence technology allows user-centered marketing promotion to achieve the right guidance for targeted promotional information content. However, data intelligent marketing solutions also face a variety of cloud challenges. One is the weak relationship between data remediation and machine learning workflow, the second is the processing of data and research must consume a lot of time and energy, the third is the entity model gradient descent method, maintenance and other aspects of the management method of low effectiveness.

Shanghai Xinzhaoyang according to the Amazon cloud technology of the unified data basic base, Shanghai Xinzhaoyang constructed an integrated data intelligence lake warehouse architecture DataHub and integrated high-efficiency machine learning service platform AIHub. these two applications can improve the timeliness of the data operation of the 32%, the entity model release of the high efficiency increased by 30%.

Amazon Cloud Technology, based on its own operations and its observation of the manufacturing industry, has created a set of "cloud, digital, intelligent trinity" service program components to provide users with a combination of artificial intelligence technology and big data solutions.

Not only is artificial intelligence technology and big data technology disruptive and innovative in the company's strategic transformation of enterprises, the development trend of higher efficiency, but also the Internet of Things (IoT) technology, digital twins, these intelligent technologies together to promote the company's faster development trend.