Artificial Intelligence, Fintech, and Financial Inclusion


This book covers Big Data, Machine Learning, and Artificial Intelligences-related technologies and how these technologies can enable the design, development, and delivery of customer-focused financial services to both corporate and retail customers, as well as how to extend the benefits to the financially excluded sections of society. Artificial Intelligence, Fintech, and Financial Inclusion describes the applications of Big Data and its tools such as Artificial Intelligence and Machines Learning in products and services, marketing, risk management, and business operations. It also discusses the nature, sources, forms, and tools of Big Data and its potential applications in many industries for competitive advantage. The primary audience for the book includes practitioners, researchers, experts, graduate students, engineers, business leaders, and analysts researching contemporary issues in the area.

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Product Description

This book covers Big Data, Machine Learning, and Artificial Intelligences-related technologies and how these technologies can enable the design, development, and delivery of customer-focused financial services to both corporate and retail customers, as well as how to extend the benefits to the financially excluded sections of society. Artificial Intelligence, Fintech, and Financial Inclusion describes the applications of Big Data and its tools such as Artificial Intelligence and Machines Learning in products and services, marketing, risk management, and business operations. It also discusses the nature, sources, forms, and tools of Big Data and its potential applications in many industries for competitive advantage. The primary audience for the book includes practitioners, researchers, experts, graduate students, engineers, business leaders, and analysts researching contemporary issues in the area.

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Product Details

General

Imprint

Crc Press

Country of origin

United Kingdom

Series

Innovations in Big Data and Machine Learning

Release date

December 2023

Availability

Expected to ship within 12 - 17 working days

First published

2024

Editors

, ,

Dimensions

234 x 156mm (L x W)

Pages

200

ISBN-13

978-0-367-64568-7

Barcode

9780367645687

Categories

LSN

0-367-64568-8



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