AISWare AI² builds an AI platform for a provincial operator

Customer requirement

With the explosion and application of machine learning and deep learning research, AI started to shift from "not practical" to "can be practical", and in the process, a certain operator also actively explored in the AI field, introducing a series of AI modeling platforms and special AI capabilities, but also brought a series of problems. As each AI capability is a vertical well, resulting in unified data standards, unified service scheduling, unified authority management, unified end-to-end processes, unsharable platform resources, and missing data protection standards, there is an urgent need to build a one-stop digital intelligence center.

Construction Plan

Based on AISWare AI² products, through process penetration and data sharing, it provides one-stop and end-to-end development capabilities from data access, data development, AI model development, and AI service launch, which could provide safe, efficient, and agile R&D support for developers, support internal operations, and externally enable industry development.Internal: Applying AI to communication operations such as intelligent operation and maintenance, intelligent marketing, intelligent customer service, intelligent economic distribution, intelligent billing, and intelligent 5G network construction to continuously improve the user experience and operational efficiency.External: Relying on AI to extend to emerging fields such as smart cities, smart parks, smart finance, smart education, smart government affairs, smart manufacturing, digital homes, and IoT to empower and activate new ecosystems.

Application effect

At the beginning of 2020, the data intelligence platform built on the basis of AsiaInfo AISWare AI² products was successfully launched at the operator, and took the lead in smart O & M, smart marketing, smart customer service, smart park, smart finance and other scenarios application, the platform has completed the deployment of multiple AI capabilities to achieve the desired goal.

High frequency of AI service calls

As of the end of April 2020, the platform's average monthly AI service call has exceeded 60 million times, and it is expected to reach 100 million times by the end of 2020.
High efficiency of AI service online

Through unified data collection, storage, management, and sharing, the AI R&D process data is pulled through, and unified visual data exploration and data preprocessing capabilities are provided, with a development workload reduced by 50% and launch cycle is shortened by 60%.
High frequency of platform operation uses

Through the access of third-party AI capabilities, unified access to multiple modeling tools and specific AI capabilities of different vendors is achieved, which meets the needs of different users and different business scenarios. The platform operation user group is doubled compared to before, the operating frequency is 170% higher than before.

亚信科技

AISWare AI² Global Artificial Intelligence Platform