TELECOMMUNICATIONS

Opportunities & Challenges

With the rapid development and application of technologies such as 5G, big data, artificial intelligence, and the Internet of Things, the digital transformation of the communication industry is constantly accelerating and deepening, providing communication operators with opportunities for innovation and differentiation. Actively applying big data and artificial intelligence technology could improve user experience, enhance operational efficiency, and maintain cooperation and innovation with other industries, helping to mine data gold mines and create commercial value.

On the one hand, as producers of data, communication operators possess massive, heterogeneous, and continuous data. How to quickly analyze and mine the value of data through big data and artificial intelligence methods is the key for communication operators to provide personalized services to users and optimize network performance; On the other hand, in order to meet the real-time needs of users, communication operators need to have fast data transmission and processing capabilities, in order to achieve real-time and instant response.


Introduction

DataCanvas has industry-leading technological capabilities in automatic machine learning, real-time data processing, causal learning, and has been deeply rooted in the communication industry for many years. Based on our technological advantages in data intelligence and a deep understanding and full integration of operator business, DataCanvas has developed comprehensive solutions for the communication industry.

 

This solution is based on mature and systematic AI software products, closely integrated with various business systems of communication operators, fully tapping into the value of B/O/M domain data, providing strong support for business applications of communication operators in marketing, service, management, operation and maintenance, network and other fields, and assisting in the digital transformation and upgrading of communication operators.

Advantages
  • Mature AI software products

    DataCanvas has a combination of mature, high-performance, and systematic AI foundation software products, including DataCanvas BAP business oriented automatic modeling platform, DataCanvas RT real-time decision center platform, etc.

  • Frontier data intelligence technology

    By applying cutting-edge AI technologies such as AutoML and AutoDL in the industry, and integrating self-developed AutoML automatic machine learning and Casual AI causal learning open-source software tools, it possesses massive storage, real-time computing, and high service capabilities.

  • Flexible deployment and service models

    The solution can be flexibly deployed on demand, supporting local deployment, centralized deployment, and cloud deployment, and can provide diverse service models for SaaS and PaaS.

  • Rich industry application experience

    The solution has been applied and implemented in multiple provinces in China, providing real-time data services and AI decision analysis capabilities for communication operators in various business areas such as marketing, service, management, operation and maintenance, and network.

Values
  • Improve the efficiency of machine learning modeling

  • Empower business departments to make agile AI decisions

  • Assist in improving business effectiveness

  • Extend data intelligence to real-time