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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032055634 ISBN 13: 9781032055633
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032055634 ISBN 13: 9781032055633
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032055626 ISBN 13: 9781032055626
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032055626 ISBN 13: 9781032055626
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ISBN 10: 1032055626 ISBN 13: 9781032055626
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First Edition
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032055634 ISBN 13: 9781032055633
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) and Big Data based applications in accounting and auditing have become pervasive in recent years. As a landmark work in a new area of current policy interest, it will engage regulators and policy makers, reflective practitioners and media commentators through its authoritative contributions and discussion.
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the dynamic field of accounting, where accuracy and productivity are critical, artificial intelligence (AI) integration has become a game-changer and AI is set to affect every industry. With the speed at which technology is developing, a thorough manual that helps readers understand the complex world of AI in accounting is desperately needed. By offering a sophisticated grasp of how AI is changing the core ideas of accounting and financial management, this book bridges this knowledge gap. It explores the relationship between AI technology and accounting processes, revealing the significant influence and unrealised potential outside of traditional bookkeeping.This book delves into how AI is revolutionising accounting procedures. It explores the newest AI technologies and their uses in financial data processing, auditing, compliance, and forecasting, ranging from machine learning to predictive analytics. It ensures responsible AI integration by addressing biases, accountability, and transparency while emphasising ethical considerations. This book provides case studies, practical advice, and examples from the real world, guaranteeing that readers not only understand the theoretical foundations of AI in accounting but also get the knowledge necessary to apply and maximise these technologies within their professional domains by connecting theory and application. It offers a road map for traversing the accounting industry's AI frontier, from using predictive analytics to make well-informed decisions to automating repetitive activities.This book will enable accountants, auditors, and financial analysts to prosper in the emerging AI-driven world.