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Public Security Big Data Solution

Background and challenges

Solution Introduction

Targets

Adhere to political leadership, plan and coordinate;
Overall planning of "provincial level main focus base, municipal level main focus pivot, county-level main focus perception, and team main focus collection";
Build a "one network, one cloud, one pool, one platform, and one portal" for all police big data.;
Adhere to advanced economy, intensive efficiency;
Business integration, base sharing, and global service;
Adhere to Unicom sharing and security supervision;
Forming a new situation of fully integrated public security big data intelligent construction and application of "network connectivity, data fusion, security supervision, and intelligent application".

Overview of the plan

Cloud empowers massive amounts of data through AI core technology, enabling the transformation of data into knowledge. By using a human-machine collaborative operating system (CWOS) centered around knowledge computing services (KaaS), a thoughtful industry big data intelligent platform is implemented to help customers move from perceptual intelligence to cognitive intelligence. KaaS can transform data into industry knowledge and provide customers with knowledge reasoning and modeling capabilities for cities and industries based on massive data training and advanced machine learning methods. Through a large-scale knowledge computing network combined with expert knowledge and experience, KaaS has formed a thoughtful urban industry intelligent service platform, providing customers with various auxiliary decision-making intelligent services.

Logical architecture

Relational

Technical support
National Hotline:

400-151-5992

Business Hours: 9:30-18:00 (Beijing time) from Monday to Friday

Business Cooperation: business@cloudwalk.com
Media Cooperation: Media@cloudwalk.com
Channel Cooperation: business_partner@cloudwalk.com

Copyright 2020 Guangdong Public Network Security No. 44011502000477

Guangdong ICP No. 15087156 CloudWalk Technology Co., Ltd.

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