Smart Finance: Harnessing Artificial Intelligence to Transform Tax, Accounting, Payroll, and Credit Management for the Digital Age
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https://doi.org/10.70593/978-93-49910-40-9
Keywords:
Artificial Intelligence, Finance, Taxation, Machine Learning, Blockchain, Risk Management , Deep LearningSynopsis
In an era where digital transformation is reshaping every industry, the world of finance stands at the forefront of change. The integration of artificial intelligence (AI) into financial operations is not merely a trend—it is a fundamental shift that is redefining how businesses and individuals manage money, ensure compliance, and make strategic decisions. Smart Finance: Harnessing AI to Transform Tax, Accounting, Payroll, and Credit Management for the Digital Age explores this evolution, offering a comprehensive look into how intelligent technologies are revolutionizing traditional financial practices.
This book was conceived with a singular vision: to bridge the gap between advanced technology and practical financial application. We aim to provide professionals, students, and curious minds with insights into how AI is streamlining tax calculations, automating accounting tasks, optimizing payroll systems, and enhancing credit risk assessment. By drawing on real-world case studies, current innovations, and forward-thinking strategies, we strive to demystify complex algorithms and highlight their practical implications.
Our intention is not only to inform but to inspire a mindset shift. Finance is no longer confined to spreadsheets and manual audits—it is becoming proactive, predictive, and profoundly data-driven. Through AI, finance professionals can move beyond routine tasks and embrace roles as strategic advisors and innovation leaders.
We extend our gratitude to the technologists, accountants, tax experts, payroll specialists, and credit analysts who have contributed to this new frontier. Their willingness to embrace change and experiment with AI-driven solutions fuels the momentum toward smarter, more agile financial systems.
As you delve into these pages, we invite you to envision a future where finance is not just managed but intelligently optimized. Welcome to the age of Smart Finance.
Chapters
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The financial frontier: Redefining traditional finance in the era of artificial intelligence
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Intelligent taxation: Leveraging artificial intelligence for accurate, efficient, and compliant tax preparation and filing
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From ledgers to learning machines: The evolution of bookkeeping and accounting through artificial intelligence automation
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Payroll 4.0: Artificial intelligence-enhanced payroll systems for speed, accuracy, and compliance at scale
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The artificial intelligence-powered financial advisor: democratizing access to real-time, personalized financial guidance
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Credit intelligence: Real-time credit monitoring, scoring, and management using artificial intelligence models
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Data is the new currency: Building and managing financial data pipelines for artificial intelligence readiness
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Artificial intelligence governance in finance: Ethics, bias, security, and regulatory compliance in artificial intelligence systems
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Cloud finance architecture: Designing scalable and secure artificial intelligence infrastructure for financial applications
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The human-artificial intelligence partnership: Enhancing financial professionals’ capabilities through artificial intelligence collaboration
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Case studies in smart finance: Real-world applications of artificial intelligence across industries and enterprises
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The road ahead: future trends, challenges, and opportunities in artificial intelligence-driven finance
Downloads
Forthcoming
26 April 2025
Copyright (c) 2025 Jeevani Singireddy
Details about the available publication format: E-Book
E-Book
ISBN-13 (15)
978-93-49910-40-9
Details about the available publication format: Book (Paperback)
Book (Paperback)
ISBN-13 (15)
978-93-49910-82-9
How to Cite
Singireddy, J. . (2025). Smart Finance: Harnessing Artificial Intelligence to Transform Tax, Accounting, Payroll, and Credit Management for the Digital Age. Deep Science Publishing. https://doi.org/10.70593/978-93-49910-40-9
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