China opens up its ‘big data valley’ at Guizhou province

Img src- www.nws.cn

China recently launched its first big data engineering laboratory in Guizhou province, which shows promises to perform several functions such as collecting and analyzing administrative data, offering privacy protection of data, applying big data technology to government decision making, social management, government supervision and much more.

The lab located in the national high-tech industrial development zone in the provincial capital, is expected to help improve government management policy.

Wang Daming, head of the Council of National Engineering Laboratory, was reportedly quoted as saying that the lab will focus on study of big data which would be dedicated to government management and also encourage the application and industrialization of big data in government management efficiency.

AIM Daily XO

Join our editors every weekday evening as they steer you through the most significant news of the day, introduce you to fresh perspectives, and provide unexpected moments of joy
Your newsletter subscriptions are subject to AIM Privacy Policy and Terms and Conditions.

Earlier in November 2016, the National Development and Reform Commission had approved the joint construction of the laboratory by Guizhou and China Electronics Technology Group Corporation.

Big Data has seen an evident rise in China with Guizhou becoming the first pilot zone for big data. Since gaining popularity in the country, it has seen wide applications in government management, business and daily life. One such use case is the provincial high people’s court, which has set up a big data system to aid the handling of cases and facilitate public inquiries.


Download our Mobile App



The big data industrial map facilitated by the province demonstrates the development of companies in different areas. This could come as a reference for policy making in the country. It is worth noting that the province’s computer, communication and other other electronic manufacturing industry saw their added value reach 9.3 billion yuan in 2016, which is apparently nine times that in 2011.

We had earlier covered a feature on how China has become a new entrant in the big data space and its continued interest in building and developing the infrastructure that could store and analyze big data. Not just big data, China has been tapping the AI and machine learning market as is evident from newer research papers and government policies that is flooding the province.

Sign up for The Deep Learning Podcast

by Vijayalakshmi Anandan

The Deep Learning Curve is a technology-based podcast hosted by Vijayalakshmi Anandan - Video Presenter and Podcaster at Analytics India Magazine. This podcast is the narrator's journey of curiosity and discovery in the world of technology.

Srishti Deoras
Srishti currently works as Associate Editor at Analytics India Magazine. When not covering the analytics news, editing and writing articles, she could be found reading or capturing thoughts into pictures.

Our Upcoming Events

24th Mar, 2023 | Webinar
Women-in-Tech: Are you ready for the Techade

27-28th Apr, 2023 I Bangalore
Data Engineering Summit (DES) 2023

23 Jun, 2023 | Bangalore
MachineCon India 2023 [AI100 Awards]

21 Jul, 2023 | New York
MachineCon USA 2023 [AI100 Awards]

3 Ways to Join our Community

Telegram group

Discover special offers, top stories, upcoming events, and more.

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Subscribe to our Daily newsletter

Get our daily awesome stories & videos in your inbox
MOST POPULAR

Council Post: The Rise of Generative AI and Living Content

In this era of content, the use of technology, such as AI and data analytics, is becoming increasingly important as it can help content creators personalise their content, improve its quality, and reach their target audience with greater efficacy. AI writing has arrived and is here to stay. Once we overcome the initial need to cling to our conventional methods, we can begin to be more receptive to the tremendous opportunities that these technologies present.