Deep Learning in Banking, 9781394295371
Hardcover
AI transforms banking: unlock deep learning’s potential for financial services.

Deep Learning in Banking

integrating artificial intelligence for next-generation financial services

$206.09

  • Hardcover

    336 pages

  • Release Date

    9 January 2026

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Summary

Deep Learning in Banking: Revolutionizing Financial Services with AI

Unlock the potential of artificial intelligence to transform financial services for a new era

Deep Learning in Banking; Leveraging Artificial Intelligence for Next-Generation Financial Services by Cristián Bravo, Sebastián Maldonado, and María Óskarsdóttir is a compelling resource that highlights the critical intersection of AI and banking. It offers actionable insights and practic…

Book Details

ISBN-13:9781394295371
ISBN-10:1394295375
Author:Cristian Bravo, Sebastian Maldonado, Maria Oskarsdottir
Publisher:John Wiley & Sons Inc
Imprint:John Wiley & Sons Inc
Format:Hardcover
Number of Pages:336
Release Date:9 January 2026
Weight:499g
Dimensions:234mm x 158mm x 28mm
About The Author

Cristian Bravo

CRISTIÁN BRAVO, PHD, is a Professor and the Canada Research Chair in Banking and Insurance Analytics at the University of Western Ontario, Canada, and Director of the Banking Analytics Lab. He is a co-author of Profit Driven Business Analytics and regularly appears as a panelist on the CBC News’ Weekend Business Panel discussing banking, finance, and artificial intelligence.

SEBASTIÁN MALDONADO, PHD, is Full Professor at the Department of Management Control and Information Systems, School of Economics and Business, University of Chile. He is the author of the books Analytics and Big Data: Data Science Applied to the Business World and Artificial Intelligence Applied in Chile: Business Vision and Success Stories.

MARÍA ÓSKARSDÓTTIR, is a Lecturer (Assistant Professor) of Mathematical Modelling and Data Science at the School of Mathematical Sciences at the University of Southampton and an Associate Professor at the Department of Computer Science of Reykjavik University. She’s an Editor for Springer’s Machine Learning and an Associate Editor of the International Journal of Forecasting.

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