Big Data

The plan integrates AI, big data, cloud computing, IoT and other technologies and utilizes advanced AI technologies to conduct deep cleaning, integration, analysis and mining of big data, providing a mature big data application service for diverse industries and areas. Currently, by using intelligent big data analysis technologies such as deep learning, it provides industry leading insights and precision predictions of a company’s potential risks, especially in the finance, medical and health care industries.

Advantages
Typical Business Scenarios
Solution Architecture
Typical Use Cases
Success Stories

Advantages

Integrating advanced AI technologies

It configures industry leading, professional and powerful algorithms by fully adopting natural language processing, semantic comprehension, relational reasoning, machine learning, graphical analysis and other AI intelligent technologies
Unique powerful computing platform

Its independently-developed machine learning platform and deep learning clusters are able to handle a million concurrent data per second and guarantees efficient and stable computing
Diverse and mature application scenarios

Risk management, insurance pricing, fraud detection, precision marketing, operational optimization, public opinion analysis, disease prediction and many other diverse application scenarios have already been tested in practice and delivered huge value
Supports fast and safe cloud deployment

Solutions can be quickly deployed to the cloud and maintained in the cloud; strict data isolation and highest level security management are provided

Typical Business Scenarios

AI + big data for smart disease prediction
Big data for precise policy marketing
Big data for anti-money laundering in the financial industry
Big data for medical and health care
Big data for medical insurance anti-fraud solutions

Overview

By integrating health profiles of local residents, electronic medical records, medical and health data, social and economic data, meteorological data and public opinion data, we are able to establish a disease prediction model suited to the local issues, and facilitate smart prevention and control of flu and prediction of chronic diseases.

This system serves the following purposes

In public policy making area, help customers to predict epidemics, alert the spreading of epidemics, provide suggestions for citizens to prevent and fight diseases, help governmental authorities to reduce costs of disease prevention and control.

Solution Architecture

Solution Overview

Deploy a fundamental platform in the cloud. Data integration function integrates structured data, unstructured data and semi-structured data and covers a broad range of data sources.
Storage engine manages and stores diverse types of big data; computing engine provides high speed computing ability, including: batch computing, memory computing, stream computing and query computing; resources scheduling platform provides centralized resources management and scheduling.
On the application integration level, it integrates diverse easy-to-use analysis/exploration, data mining and agile BI tools.

Architecture Advantages

Industry leading machine learning platform and deep learning cluster.
Professional and powerful algorithms that take full advantage of the natural language processing, knowledge graph, image recognition, biometric authentication and other AI technologies.
It has been tested in multiple scenarios such as risk management, precision marketing, operational optimization, public opinion analysis and disease prediction. It has created huge value for the establishment of diverse smart ecosystems such as smart finance, smart medical service and smart city.

Typical Use Cases

Chongqing Center for Disease Control and Prevention Project

Project Background

Chongqing Center for Disease Control and Prevention pushes forward upgrading of traditional industries through integration of big data. It cooperates with Ping An Technology to jointly establish a team to study the application of big data and AI in disease control and prevention endeavors.

With more than 20 million health records and electronic medical records of Chongqing municipal and a massive amount of external data provided by Ping An Insurance Group, the team used AI and big data technologies to research and develop epidemic prediction models for flu, and foot and mouth disease, as well as COPD smart scanning model.

Business Value

It is able to predict an epidemic spreading one week in advance and offer guidance for citizens to prevent them from being infected.

By using COPD smart scanning model, it has significantly reduced the scanning cost and increased efficiency, while reaching an accuracy ratio of 92%.

Flu/hand, foot and mouth disease model delivers an accuracy rate of higher than 90%.

It helps governmental authorities to increase the efficiency of prevention and control of certain diseases and reduce disease prevention and control costs.

Success Stories

Ping An Life Insurance
Ping An Property & Casualty
Ping An Bank

Advantages

Typical Business Scenarios

Overview

This system serves the following purposes

Overview

This system serves the following purposes

Overview

This system serves the following purposes

Overview

This system serves the following purposes

Overview

This system serves the following purposes

Solution Architecture

Solution Overview

Architecture Advantages

Officially Recommended Products

Typical Use Cases

Chongqing Center for Disease Control and Prevention Project

Success Stories