Proceedings of the 2020 International Conference on Advanced Education, Management and Social Science (AEMSS2020)

Research on Talent Training for Future Outsourcing in the Era of AI

Authors
Yanchun Yang, Hongfeng Sun
Corresponding Author
Yanchun Yang
Available Online 24 July 2020.
DOI
10.2991/assehr.k.200723.106How to use a DOI?
Keywords
Talent training, Outsourcing, AI, Interdisciplinary, Inter-academic
Abstract

This paper studied the training mode of outsourcing talent, as well as the training concept and goal innovation or reorganization in the AI era, timely and effectively responded to the impact of AI. From the historical logic of higher education responding to the change of the social era, it was the logical starting point to promote the development of outsourcing industry by taking the change of talent training mode as the fulcrum and the innovation or reorganization of concept and goal as the starting point.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2020 International Conference on Advanced Education, Management and Social Science (AEMSS2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
24 July 2020
ISBN
10.2991/assehr.k.200723.106
ISSN
2352-5398
DOI
10.2991/assehr.k.200723.106How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yanchun Yang
AU  - Hongfeng Sun
PY  - 2020
DA  - 2020/07/24
TI  - Research on Talent Training for Future Outsourcing in the Era of AI
BT  - Proceedings of the 2020 International Conference on Advanced Education, Management and Social Science (AEMSS2020)
PB  - Atlantis Press
SP  - 81
EP  - 85
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200723.106
DO  - 10.2991/assehr.k.200723.106
ID  - Yang2020
ER  -