Artificial Intelligence And Machine Learning Powered Smart Finance
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Artificial Intelligence And Machine Learning Powered Smart Finance
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Author : Amandeep Singh
language : en
Publisher: IGI Global
Release Date : 2024
Artificial Intelligence And Machine Learning Powered Smart Finance written by Amandeep Singh and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Business & Economics categories.
"The book aims to bridge the gap between theoretical concepts and practical applications, empowering readers to make informed decisions in the rapidly evolving field of smart finance"--
Artificial Intelligence And Machine Learning Powered Smart Finance
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Author : Taneja, Sanjay
language : en
Publisher: IGI Global
Release Date : 2024-02-12
Artificial Intelligence And Machine Learning Powered Smart Finance written by Taneja, Sanjay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-12 with Business & Economics categories.
In the field of finance, the pervasive influence of algorithms has transformed the very fabric of the industry. Today, over 75% of trades are orchestrated by algorithms, making them the linchpin for trade automation, predictions, and decision-making. This algorithmic reliance, while propelling financial services into unprecedented efficiency, has also ushered in a host of challenges. As the financial sector becomes increasingly algorithm-driven, concerns about risk assessment, market manipulation, and the ethical implications of automated decision-making have taken center stage. Artificial Intelligence and Machine Learning-Powered Smart Finance, meticulously examines the intersection of computational finance and advanced algorithms and the challenges associated with this technology. As algorithms permeate various facets of financial services, the book takes a deep dive into their applications, spanning forecasting, portfolio optimization, market trends analysis, and cryptoanalysis. It sheds light on the role of AI-based algorithms in personnel selection, implementing trusted financial services, developing recommendation systems for financial platforms, and detecting fraud, presenting a compelling case for the integration of innovative solutions in the financial sector. As the book unravels the intricate tapestry of algorithmic applications in finance, it also illuminates the ethical considerations and governance frameworks essential for navigating the delicate balance between technological innovation and responsible financial practices.
The Intelligent Ledger Harnessing Artificial Intelligence Big Data And Cloud Power To Revolutionize Finance Credit And Security
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Author : Murali Malempati
language : en
Publisher: Deep Science Publishing
Release Date : 2025-04-26
The Intelligent Ledger Harnessing Artificial Intelligence Big Data And Cloud Power To Revolutionize Finance Credit And Security written by Murali Malempati and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-26 with Business & Economics categories.
The financial world is undergoing a profound transformation, fueled by the convergence of artificial intelligence (AI), big data, and cloud technology. These powerful forces are not just enhancing existing systems; they are reshaping the very foundations of how finance, credit, and security operate. The Intelligent Ledger: Harnessing AI, Big Data, and Cloud Power to Revolutionize Finance, Credit, and Security is a guide to understanding and thriving in this rapidly evolving landscape. This book was born from a deep recognition of the urgent need for innovation in financial processes. Traditional methods, once reliable, are now too slow, too rigid, and too vulnerable for the demands of the digital age. By embracing AI’s learning capabilities, big data’s vast insights, and the cloud’s scalability, organizations and individuals alike can unlock smarter, faster, and more secure ways of managing financial operations. Throughout these pages, we aim to illuminate how these technologies work together to create an intelligent ledger — a dynamic, responsive, and resilient system that redefines accuracy, transparency, and trust. We explore practical applications, emerging trends, and real-world success stories, offering a clear roadmap for professionals, decision-makers, and innovators who are ready to lead the charge into the future. This book is not only about technology; it is about the mindset needed to adapt, evolve, and reimagine finance for a new era. The intelligent ledger is more than a tool — it is a vision for a smarter financial ecosystem where agility, foresight, and security are the new standards. We are excited to share this journey with you and hope it inspires you to see beyond today’s challenges and envision the extraordinary possibilities ahead.
Machine Learning And Modeling Techniques In Financial Data Science
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Author : Chen, Haojun
language : en
Publisher: IGI Global
Release Date : 2025-01-22
Machine Learning And Modeling Techniques In Financial Data Science written by Chen, Haojun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Business & Economics categories.
The integration of machine learning and modeling in finance is transforming how data is analyzed, enabling more accurate predictions, risk assessments, and strategic planning. These advanced techniques empower financial professionals to uncover hidden patterns, automate complex processes, and enhance decision-making in volatile markets. As industries increasingly rely on data-driven insights, the adoption of these tools contributes to greater efficiency, reduced uncertainty, and competitive advantage. This technological shift not only drives innovation within financial sectors but also supports broader economic stability and growth by improving forecasting and mitigating risks. Machine Learning and Modeling Techniques in Financial Data Science provides an updated review and highlights recent theoretical advances and breakthroughs in professional practices within financial data science, exploring the strategic roles of machine learning and modeling techniques across various domains in finance. It offers a comprehensive collection that brings together a wealth of knowledge and experience. Covering topics such as algorithmic trading, financial technology (FinTech), and natural language processing (NLP), this book is an excellent resource for business professionals, leaders, policymakers, researchers, academicians, and more.
Data Alchemy In Insurance Revolutionizing The Insurance Industry Through Big Data Analytics
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Author : Sanjay Taneja, Ercan Ozen, Luan Vardar, Mohit Kukreti, Mohammad Kashif
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-06-24
Data Alchemy In Insurance Revolutionizing The Insurance Industry Through Big Data Analytics written by Sanjay Taneja, Ercan Ozen, Luan Vardar, Mohit Kukreti, Mohammad Kashif and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Business & Economics categories.
Data Alchemy in Insurance: Revolutionizing the Insurance Industry through Big Data Analytics discusses cutting-edge technologies like machine learning and AI, transforming insurance into a dynamic, customer-centric industry. Spanning fifteen chapters, topics range from predictive analytics for customer retention to ethical dilemmas in data usage. Learn how big data enhances risk assessment, underwriting, and customer engagement, fostering innovation and operational efficiency. Insights into robo-advisors, automation, and sustainable insurance models provide a comprehensive view of industry advancements. Key Features: - The Data-Driven Renaissance: Innovate and grow strategically with big data. - Customer-Centric Transformation: Personalize engagement and satisfaction. - Operational Efficiency: Optimize claims, detect fraud, and assess risk effectively.
Shaping Cutting Edge Technologies And Applications For Digital Banking And Financial Services
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Author : Alex Khang
language : en
Publisher: CRC Press
Release Date : 2025-01-31
Shaping Cutting Edge Technologies And Applications For Digital Banking And Financial Services written by Alex Khang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Business & Economics categories.
Cutting-edge technologies have recently shown great promise in a variety of activities for enhancing the existing services of a bank such as the improvement of transactions, ensuring that transactions are done correctly, and managing records of services of savings accounts, loan and mortgage services, wealth management, providing credit and debit cards, overdraft services and physical evidence as key drivers of bank ecosystem. In the financial world, emerging analytics and prediction tools can be used to analyze and visualize structured data, such as financial market data, and to forecast future trends that can be supported by leaders to make informed decisions about investment strategies. This book explores the importance of artificial intelligence (AI)-based predictive analytics tools in the financial services industry and their role in combating financial fraud. As fintech continues to revolutionize the financial landscape, it also brings forth new challenges, including sophisticated fraudulent activities. Therefore, this book shares the problem of enhancing fraud detection and prevention through the application of predictive analytics. This book contributes to a deeper understanding of the importance of predictive analytics in the finance field and its pivotal role in cybersecurity and combating fraud. It provides valuable insights for the financial services industry, researchers, and policymakers, aiming to fortify the security and resilience of financial systems in the face of evolving financial fraud challenges. Cuurently, AI has replaced recurrent intellectual decisions due to the availability of information and its access. These changes have created a revolution in financial operations resulting in environmental variations in the banking and finance sectors. Likewise, analytics transformed the not only finance field but also banking as it is increasing the transparency of lending-related activities. In addition, this book provides a set of tools for complex analyses of people-related data and through a variety of statistical analysis techniques ranging from simple descriptive statistics to machine learning, HR analytics enables performance evaluation and increases the transparency of finance transactions as well as the problems, advantages, and disadvantages of new digital transformation. The book is not merely a compilation of technical knowledge; it is a beacon of innovation that beckons readers to envision a future where cutting-edge technologies and finance services intertwine seamlessly. With its engaging and thought-provoking content, the book leaves an indelible impression, urging readers to embrace the transformative power of technology and embark on a collective mission to unlock the full potential of fintech for the betterment of humanity.
Navigating The World Of Deepfake Technology
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Author : Lakhera, Girish
language : en
Publisher: IGI Global
Release Date : 2024-08-09
Navigating The World Of Deepfake Technology written by Lakhera, Girish and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Computers categories.
The digital age has ushered in an era of incredible innovation, but it's also opened the door to new threats. Deepfakes, hyper-realistic manipulated videos and images, are blurring the lines between truth and fiction. Malicious actors can use deepfakes to create fake news that sways elections, fabricate celebrity scandals to damage reputations, or even launch targeted attacks against businesses. This loss of trust can have a devastating impact on individuals, society as a whole, and especially organizations struggling to maintain brand integrity and secure operations. Navigating the World of Deepfake Technology equips you to understand deepfakes, from their work to the legal issues surrounding them. It also provides practical strategies to identify deepfakes and mitigate their risks, empowering you to protect yourself and your organization. Whether you're a business leader, journalist, or simply someone concerned about the impact of deepfakes, this book is essential reading. It's your key to staying informed and safeguarding yourself in a world increasingly reliant on digital media.
Aligning Financial Reporting Standards With Global Trade Needs
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Author : Vardari, Luan
language : en
Publisher: IGI Global
Release Date : 2025-06-12
Aligning Financial Reporting Standards With Global Trade Needs written by Vardari, Luan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Business & Economics categories.
The landscape of financial reporting in an interconnected global economy is evolving. As international trade expands, businesses and regulators face significant challenges in harmonizing financial reporting standards across borders. Furthermore, the digitalization of trade and technology disruptions, such as artificial intelligence (AI) and blockchain, call for transparency and ethical reporting. Consistency, innovation, and forward-thinking strategies are needed to ensure standards are not onl aligned with current and future realities. Aligning Financial Reporting Standards With Global Trade Needs explores financial reporting standards and global trade practices. It examines international financial reporting standards (IFRS), the role of digital currencies, sustainability disclosures, and the ethical dimensions of financial transparency in cross-border transactions. Covering topics such as currency volatility, cross-border mergers, and geopolitical risks, this book is an excellent resource for financial professionals, auditors, policymakers, regulators, business leaders, executives, researchers, academicians and more.
Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications
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Author : Jayesh Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-10
Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications written by Jayesh Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-10 with Computers categories.
At a time when artificial intelligence (AI) and machine learning (ML) are used to make sensitive societal decisions such as the ones related to criminal justice, healthcare, finance, education, employment, algorithmic fairness and bias mitigation are among the most important but challenging issues at hand. The goal of this book is to provide a holistic view across various disciplines of the ethical base, detection methods, and technical measures for trustworthy AI systems. Starting from a solid foundation of statistical bias, transparency systems and fairness-aware ML models, this book methodically looks at state-of-the-art methodologies, where we highlight their shortcomings and introduce a unified model framework for detecting bias and transparent algorithms. Moving beyond technical diagnoses, it examines key sociotechnical and policy tools that are required to implement AI responsibly, providing guidance to researchers, engineers, policy makers, and organizational leaders. Literature review has been driven following the experimental case, the fairness trade-offs, intersectional bias, explainability and regulatory compliance are discussed in depth by the authors. This work underscores that fairness in automated decision-making systems depends not only on algorithmic accuracy, but also institutional will and stakeholder engagement. The chapters in this book function as both an academic primer and a resourceful handbook, transitioning readers through an ever-growing ethical AI terrain. Whether you are a data scientist building and deploying an algorithm that encourages ethical speech, or a regulator working to create and refine guidelines around such algorithms, this book provides you with both the tools and the understanding you need for ethical technology development and deployment.
Neuromarketing S Role In Sustainable Finance
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Author : Taneja, Sanjay
language : en
Publisher: IGI Global
Release Date : 2024-10-18
Neuromarketing S Role In Sustainable Finance written by Taneja, Sanjay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-18 with Business & Economics categories.
Neuromarketing plays a significant role in sustainable finance by tapping into the emotional and cognitive factors that influence investor decisions regarding socially and environmentally responsible investments. It helps financial institutions understand how individuals respond to sustainability messages, enabling them to craft more persuasive campaigns that resonate with investors’ values. By leveraging insights into behavior and decision-making processes, neuromarketing enhances the appeal of sustainable finance, encourages greener investment choices, and helps align financial practices with the growing demand for ethical, long-term impact solutions. Neuromarketing's Role in Sustainable Finance explores the intersection of neuromarketing and sustainable finance, revealing how insights from cognitive neuroscience can drive environmentally responsible investment behaviors. It examines subconscious factors influencing consumer decisions toward green investments, offering theoretical frameworks and practical applications to understand and promote ethical financial choices. Covering topics such as behavioral finance, environmental awareness, and investor patterns, this book is an excellent resource for scholars, researchers, financial professionals, marketers, business professionals, academicians, graduate and postgraduate students, and more.