AI In Finance

Lebouthillier, Eric

ISBN 10: 1069643742 ISBN 13: 9781069643742
Published by Acrasolution, 2025
New PAP

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Synopsis:

AI in Finance: The Future of Money, Markets, and Investment Starts Here

The financial world is evolving-and artificial intelligence (AI) is at the center of this transformation. From robo-advisors and algorithmic trading to fraud detection and credit scoring, AI in Finance is your essential guide to understanding how intelligent technologies are reshaping every corner of the financial sector.

Whether you're an investor, finance professional, student, or entrepreneur, this book provides the knowledge you need to navigate and thrive in an AI-powered economy. Complex concepts are explained in clear, practical terms, so you can take full advantage of this once-in-a-generation revolution in finance.

���� What You'll Learn Inside:

���� AI in Banking and Financial Institutions

Learn how leading banks and credit unions are using AI to streamline operations, enhance customer service, automate loan approvals, and reduce risk. From natural language chatbots to robotic process automation (RPA), discover how AI is saving billions annually in financial services.

���� Predictive Analytics and Forecasting

Dive into the power of machine learning models that analyze financial data to predict market trends, customer behavior, and business outcomes. Understand how hedge funds, fintech startups, and asset managers use predictive tools to gain a competitive edge.

���� Robo-Advisors and Wealth Management

Explore how digital financial advisors provide personalized investment advice using real-time data. Compare platforms like Betterment, Wealthfront, and Schwab Intelligent Portfolios-and learn how AI creates diversified portfolios based on your risk profile.

���� Algorithmic Trading and Quantitative Finance

Discover how high-frequency trading firms use AI and deep learning to execute trades in milliseconds. Understand the impact of data-driven strategies on global markets-and how even retail investors can harness simplified tools to compete.

����️ Fraud Detection and Risk Management

Find out how AI is being used to detect financial fraud in real time. From transaction pattern recognition to anomaly detection, AI is improving security across payment systems, insurance claims, and identity verification.

���� Credit Scoring and Underwriting

Learn how AI models go beyond traditional FICO scores to assess creditworthiness using alternative data like mobile activity, income patterns, and even social media behavior. See how fintech lenders are disrupting old systems.

���� AI in Personal Finance & Budgeting Apps

Discover how tools like Mint, Cleo, and YNAB use AI to provide users with automated insights, savings plans, and financial coaching. Understand how smart notifications and behavior tracking improve money habits.

���� Fintech Startups and Innovation

Explore the new wave of fintech companies harnessing AI to solve complex financial problems-like blockchain compliance, micro-investing, decentralized finance (DeFi), and peer-to-peer lending.

���� AI Ethics, Bias, and Regulation in Finance

Address the concerns around transparency, algorithmic bias, and responsible AI. Learn what financial institutions must consider to maintain ethical standards and comply with emerging regulations.

About the Author: Eric LeBouthillier is an author, tech strategist, and entrepreneur focused on the intersection of artificial intelligence and financial innovation. With a strong passion for demystifying complex technologies, Eric helps readers understand how AI is transforming banking, investing, risk management, and fintech ecosystems. His practical and insightful approach makes advanced tools like predictive analytics, robo-advisors, and algorithmic trading accessible to both professionals and curious readers alike. Through his writing, Eric aims to empower others with the knowledge to navigate and leverage the future of finance with confidence.

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Bibliographic Details

Title: AI In Finance
Publisher: Acrasolution
Publication Date: 2025
Binding: PAP
Condition: New

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