Proceedings of the 2019 3rd International Conference on Economic Development and Education Management (ICEDEM 2019)

Talent Cohesion Strategy for Building Innovation-oriented Central City against the Background of Big Data-Take Guiyang as an Example

Authors
Jun Yang, Jianju Wang
Corresponding Author
Jun Yang
Available Online October 2019.
DOI
https://doi.org/10.2991/icedem-19.2019.17How to use a DOI?
Keywords
innovation-oriented central city; talent cohesion; big data; guiyang
Abstract
At present, under the background of big data strategy and "innovation-driven" strategy, innovation-oriented central city has become a road which one must get through for regional centers to improve the primacy and competitiveness of cities. Guiyang is the first comprehensive big data pilot area of China.Based on its own advantages and relyinig on big data technology, Guiyang has built a major strategic layout of building an innovative central city. However, the shortage of high-tech talents such as big data talents seriously restricts the construction process of innovation-oriented central city and becomes the biggest obstacle in the process of urban construction. In view of this, based on the background of big data and combined with the present situation of talent in Guiyang, this paper puts forward the strategy of talent aggregation with a view to providing endogenous power for building an innovative central city of Guiyang and driving the innovative construction and development of the whole province.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Jun Yang
AU  - Jianju Wang
PY  - 2019/10
DA  - 2019/10
TI  - Talent Cohesion Strategy for Building Innovation-oriented Central City against the Background of Big Data-Take Guiyang as an Example
BT  - Proceedings of the 2019 3rd International Conference on Economic Development and Education Management (ICEDEM 2019)
PB  - Atlantis Press
SP  - 73
EP  - 77
SN  - 2352-5398
UR  - https://doi.org/10.2991/icedem-19.2019.17
DO  - https://doi.org/10.2991/icedem-19.2019.17
ID  - Yang2019/10
ER  -