AI for Accountants | The Complete Guide to Mastering Artificial Intelligence in Finance

Bob Halley

ISBN 10: 1914272692 / ISBN 13: 9781914272691

Published by Artificial Intelligence Press, 2026

About this Item

AI for Accountants | The Complete Guide to Mastering Artificial Intelligence in Finance | Bob Halley | Buch | Englisch | 2026 | Artificial Intelligence Press | EAN 9781914272691 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 134446904

Bibliographic Details

• Title: AI for Accountants | The Complete Guide to Mastering Artificial Intelligence in Finance
• Publisher: Artificial Intelligence Press
• Publication Date: 2026
• Language: English
• ISBN 10: 1914272692
• ISBN 13: 9781914272691
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 9D millimeters 235 millimeters width by 157 millimeters height by 9 millimeters depth
• Weight: 266 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Master the Future of Finance

The financial landscape is undergoing a seismic shift. From high-frequency trading floors to the quiet offices of risk analysts, Artificial Intelligence is no longer a futuristic concept-it is the primary engine of modern competitive advantage. In The Complete Guide to Mastering Artificial Intelligence in Finance, veteran financial technologist Bob Halley delivers the definitive roadmap for navigating this revolution.

This comprehensive guide bridges the gap between complex algorithmic theory and practical, bottom-line application. Whether you are a portfolio manager looking to enhance alpha, a risk officer aiming to predict the next market anomaly, or a fintech entrepreneur building the next generation of banking tools, Halley provides the clarity and depth needed to excel.

What You Will Discover:

Algorithmic Mastery: Deep dives into machine learning models specifically calibrated for volatile market data, including neural networks for price prediction and Reinforcement Learning for portfolio optimization.

Alternative Data: How to harness non-traditional data streams-from satellite imagery to social media sentiment-to gain an information edge.

Ethical AI & Regulation: Navigating the complex "black box" problem, ensuring model explainability, and staying ahead of evolving global compliance standards.

Operational Transformation: A blueprint for integrating AI into legacy systems, automating grueling back-office processes, and enhancing customer experience through predictive analytics.