Artificial intelligence analysis vertical solution integrator

Abstract

The invention discloses an artificial intelligence analysis vertical solution integrator. A model adaptation subsystem is used for defining attributes for machine learning models in a unified format, and the machine learning models are matched with analysis objects; the model arrangement subsystem is used for linking and / or arranging an operation module according to a user demand to form a corresponding workflow, and the operation module comprises a machine learning model after attribute definition; the core controller is used for creating an analysis task according to a workflow corresponding to a user demand; and the analysis engine is used for receiving the analysis task, receiving an analysis object corresponding to the analysis task, executing a corresponding operation module according to the workflow in the analysis task, and analyzing the analysis object. According to the invention, the user can customize the required vertical solution without programming, and the vertical solution can be delivered immediately, is simple and clear to use and is low in cost; the system is flexible and extensible, and can be applied to different application environments.

Description

technical field [0001] The invention relates to a vertical solution system for artificial intelligence analysis, which belongs to the field of artificial intelligence analysis. Background technique [0002] With the emergence of cloud computing and edge computing technologies, Internet Technology (IT) services can be provided on edge-to-cloud service platforms. On such an emerging service platform, according to requirements, services can be fully deployed in the cloud, fully deployed on the edge, or deployed across the edge to the cloud, or even deployed on end systems (such as mobile terminals). This service infrastructure has been widely adopted by the IT industry and is used to host and run emerging IT services, such as artificial intelligence (AI) analysis services (such as analysis based on machine learning, especially analysis based on deep neural networks) . These service platforms usually include Platform as a Service (Platform as a Service, PaaS), Edge as a Servic...

AI Technical Summary

Problems solved by technology

Third, system integrators are usually software engineers rather than vertical domain experts involved in the development, so the quality and reliability of custom solutions are often not ideal

What's more, the technical team of the platform provider generally does not include the developers of the vertical solution application system. This method may also require the recruitment and management of the application system development team, resulting in the complexity of personnel organization

[0007] (3) Professional customization: Some professional artificial intelligence analysis application companies can provide customized vertical solutions in certain specific fields, such as industrial assembly line monitoring and quality control. Obviously, its market applications are usually quite narrow

Once the user's needs change, the interaction mode of the machine learning model will change, so the code needs to be rewritten. It is technically impossible to realize the customization of the vertical solution by the user himself, and it is impossible to realize the user-defined requirements and do it by himself. Customized Operations for Vertical Solutions

How to make breakthroughs in technology, so that when user needs change, it is not necessary for technicians to rewrite the code to obtain a new vertical solution for artificial intelligence analysis, so that users can customize their own needs without writing code to implement vertical solutions The customized operation of the solution has become a technical problem that people have been looking forward to solving since the birth of artificial intelligence analysis applications but have never been successful

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