Artificial Intelligence in banks: the Adopt & Adapt strategy

Mattia Schieppati

BANCARIA, 2018, vol. 2, 78-83

Abstract: After Governments, which mainly use Artificial Intelligence for military and security application, the banking and financial industry is among the leading sectors adopting Artificial Intelligence and machine learning. The banking sector has always generated and stored large volumes of structured data that, according to a recent McKinsey survey, can become usable and valuable through Artificial Intelligence. To be successful, Ai adoption requires not only technical skills and digital expertise but, first of all, a proactive strategy

JEL-codes: G21 M15 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.bancaria.it/en/artificial-intelligence- ... adopt-adapt-strategy (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ban:bancar:v:2:y:2018:m:february:p:78-83

Access Statistics for this article

BANCARIA is currently edited by Bancaria Editrice - the publisher of the Italian Banking Association

More articles in BANCARIA from Bancaria Editrice
Bibliographic data for series maintained by Francesco Emiliano Tani ().