Open AccessLooking at the Demand of Bank Big Data Talents from the Perspective of Big Data
Author(s) -
Wei Wei
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1437/1/012116
Subject(s) - big data , data science , financial services , computer science , field (mathematics) , perspective (graphical) , finance , artificial intelligence , business , data mining , mathematics , pure mathematics
Big data is the foundation of artificial intelligence. In the financial field, as a very large and very convenient field for applying big data, there has been a lot of research on big data and artificial intelligence. From intelligent customer service to smart investment consultants to smart counters and unmanned banks, the penetration speed of big data and artificial intelligence in the financial field has reached an unimaginable level. We use big data to make money, and we use big data to understand the dynamics and trends of the bank. This article uses the reptile software Octopus to analyse the recruitment data of Zhonggong Financial Online to understand the needs of banks for big data talents, to explore its real dynamics and implementation in artificial intelligence, financial technology and big data.