Glenn Hopper

Gebundenes Buch

AI Mastery for Finance Professionals

Foundations, Techniques, and Applications

Beschreibung

Are you ready to harness the transformative power of AI in finance? AI Mastery for Finance Professionals is the definitive guide for navigating the AI revolution that is reshaping the financial landscape. This book demystifies complex concepts and equips you with the knowledge and tools to leverage AI for smarter decision-making, improved risk management, and unparalleled innovation. As AI removes traditional constraints on scale, scope, and learning, it is redefining how financial institutions create, capture, share, and deliver value. With AI-driven processes enabling unprecedented efficiency, accuracy, and sophistication, the rules of the game are changing. This book is your essential guide to understanding and capitalizing on this transformative technology. Unlock the power of AI in finance with:Deep dives into machine learning, deep learning, and cutting-edge AI techniques tailored for finance Real-world applications across trading, investment management, fraud detection, customer service, lending, compliance, and more Practical insights on developing and implementing an AI strategy, building capabilities, measuring value, and managing risks Illuminating case studies, examples, and actionable advice for driving competitive advantage in the age of AI Don't get left behind in the AI-powered future of finance. Arm yourself with the knowledge and tools to harness the potential of AI, navigate disruption, and lead the way forward. Whether you're a finance leader, professional, or student, this book is your roadmap to success in the era of intelligent technologies. With a foreword by Brian Chess, Senior Vice President, Technology and AI, Oracle NetSuite Global Business Unit, AI Mastery for Finance Professionals is your key to transforming your career and organization in the AI-powered future of finance.

Autor

Glenn Hopper is an author, speaker, and lecturer on the intersection of artificial intelligence and corporate finance. His best-selling book, Deep Finance: Corporate Finance in the Information Age, explores how technology is reshaping financial processes. Hopper's work emphasizes the transformative role of AI and automation in enhancing financial operations, improving accuracy, and driving data-driven decision-making. Glenn is the head of AI research and development at Eventus Advisory Group, where he spearheads the creation of AI-powered solutions tailored to the finance and accounting industries. His insights and expertise are regularly featured in publications such as Fortune and Forbes, and he contributes to platforms including the AI Journal and the Forbes Finance Council.With more than two decades of experience as a CFO in private equity-backed companies, Glenn has led initiatives in finance automation, M&A, and operational efficiency. He has a proven track record of modernizing finance departments by integrating data and automation to achieve better business intelligence, faster reporting, and improved operational performance.In addition to his professional work, Hopper is an instructor at Duke University's Executive Education program, the Corporate Finance Institute, AICPA/CIMA, and LinkedIn Learning, where he teaches financial leaders how to leverage AI in their strategic planning - making advanced AI concepts accessible to finance professionals worldwide. Glenn holds a Master of Liberal Arts (ALM) in extension studies in finance from Harvard University, where he also completed the Harvard Business Analytics Program, and an MBA from Regis University in Denver, CO. He is an avid runner and cyclist and can frequently be found running along the Mississippi River near his home in Memphis, where he lives with his wife, Kerith, and is frequently visited by his grown children, Katherine, North, and Abigail.

Produktdetails

• Verlag: Leaders Press
• Seitenzahl: 330
• Erscheinungstermin: 29. Oktober 2024
• Englisch
• Abmessung: 235mm x 157mm x 24mm
• Gewicht: 688g
• ISBN-13: 9781637353530
• ISBN-10: 1637353537
• Artikelnr.: 72016204