mukul kumar gupta (45 resultados)

Condición: As New. Unread book in perfect condition.

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Condición: New.

Hardcover. Condición: new. Hardcover. The rapid evolution of deepfake technology has created a paradox for businesses and policymakers. It offers groundbreaking opportunities while simultaneously posing significant ethical, security, and managerial challenges. As synthetic media and AI-driven content generation become more sophisticated, the need for strategic oversight, legal preparedness, and responsible implementation has never been greater. This book provides an in-depth analysis of how deepfake technology is reshaping industries, influencing consumer behaviour, and transforming managerial decision-making. This book explores the intersection of AI, blockchain, and deepfake technology, emphasising its role in business intelligence, cybersecurity, and financial risk management. It also highlights the legal complexities and ethical concerns surrounding deepfake misuse, particularly in digital identity fraud, misinformation campaigns, and economic crimes. Through real-world case studies and data-driven insights, this book examines deepfake technologys impact across diverse industries. In healthcare, deepfake-powered patient education tools enhance medical communication and engagement. In sports management, AI-generated simulations are revolutionising performance analytics and audience interaction. In the financial sector, deepfake risks pose new challenges in fraud detection and digital transaction security. This book also explores how synthetic media is influencing public trust in fiscal policies, consumer adoption of online travel platforms, and even religious tourism experiences. This book, with a special focus on the Indian regulatory landscape, dissects the legal, ethical, and societal implications of deepfake technology within a rapidly digitizing economy. It presents strategic frameworks for managers, business leaders, and policymakers to navigate the challenges posed by deepfake-driven cyber threats, AI misinformation, and data privacy concerns. The final section of the book offers practical solutions for businesses to mitigate deepfake risks, including AI-powered fraud prevention tools, blockchain-backed verification mechanisms, and corporate AI governance strategies. As organisations move toward a future where synthetic media blurs the lines between reality and manipulation, this book serves as a crucial guide for mastering managerial decision-making in the deepfake era. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

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Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

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Condición: New.

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New.

Condición: New.

Hardcover. Condición: new. Hardcover. The rapid evolution of deepfake technology has created a paradox for businesses and policymakers. It offers groundbreaking opportunities while simultaneously posing significant ethical, security, and managerial challenges. As synthetic media and AI-driven content generation become more sophisticated, the need for strategic oversight, legal preparedness, and responsible implementation has never been greater. This book provides an in-depth analysis of how deepfake technology is reshaping industries, influencing consumer behaviour, and transforming managerial decision-making. This book explores the intersection of AI, blockchain, and deepfake technology, emphasising its role in business intelligence, cybersecurity, and financial risk management. It also highlights the legal complexities and ethical concerns surrounding deepfake misuse, particularly in digital identity fraud, misinformation campaigns, and economic crimes. Through real-world case studies and data-driven insights, this book examines deepfake technologys impact across diverse industries. In healthcare, deepfake-powered patient education tools enhance medical communication and engagement. In sports management, AI-generated simulations are revolutionising performance analytics and audience interaction. In the financial sector, deepfake risks pose new challenges in fraud detection and digital transaction security. This book also explores how synthetic media is influencing public trust in fiscal policies, consumer adoption of online travel platforms, and even religious tourism experiences. This book, with a special focus on the Indian regulatory landscape, dissects the legal, ethical, and societal implications of deepfake technology within a rapidly digitizing economy. It presents strategic frameworks for managers, business leaders, and policymakers to navigate the challenges posed by deepfake-driven cyber threats, AI misinformation, and data privacy concerns. The final section of the book offers practical solutions for businesses to mitigate deepfake risks, including AI-powered fraud prevention tools, blockchain-backed verification mechanisms, and corporate AI governance strategies. As organisations move toward a future where synthetic media blurs the lines between reality and manipulation, this book serves as a crucial guide for mastering managerial decision-making in the deepfake era. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condición: Brand New. 248 pages. 9.18x6.12x9.45 inches. In Stock.

Hardcover. Condición: Brand New. 256 pages. 9.18x6.12x9.45 inches. In Stock.

Hardback. Condición: New. New Book, Direct from Publisher.

Hardcover. Condición: new. Hardcover. The rapid evolution of deepfake technology has created a paradox for businesses and policymakers. It offers groundbreaking opportunities while simultaneously posing significant ethical, security, and managerial challenges. As synthetic media and AI-driven content generation become more sophisticated, the need for strategic oversight, legal preparedness, and responsible implementation has never been greater. This book provides an in-depth analysis of how deepfake technology is reshaping industries, influencing consumer behaviour, and transforming managerial decision-making. This book explores the intersection of AI, blockchain, and deepfake technology, emphasising its role in business intelligence, cybersecurity, and financial risk management. It also highlights the legal complexities and ethical concerns surrounding deepfake misuse, particularly in digital identity fraud, misinformation campaigns, and economic crimes. Through real-world case studies and data-driven insights, this book examines deepfake technologys impact across diverse industries. In healthcare, deepfake-powered patient education tools enhance medical communication and engagement. In sports management, AI-generated simulations are revolutionising performance analytics and audience interaction. In the financial sector, deepfake risks pose new challenges in fraud detection and digital transaction security. This book also explores how synthetic media is influencing public trust in fiscal policies, consumer adoption of online travel platforms, and even religious tourism experiences. This book, with a special focus on the Indian regulatory landscape, dissects the legal, ethical, and societal implications of deepfake technology within a rapidly digitizing economy. It presents strategic frameworks for managers, business leaders, and policymakers to navigate the challenges posed by deepfake-driven cyber threats, AI misinformation, and data privacy concerns. The final section of the book offers practical solutions for businesses to mitigate deepfake risks, including AI-powered fraud prevention tools, blockchain-backed verification mechanisms, and corporate AI governance strategies. As organisations move toward a future where synthetic media blurs the lines between reality and manipulation, this book serves as a crucial guide for mastering managerial decision-making in the deepfake era. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condición: new. Hardcover. The book serves as an essential guide and a deep dive into the intersection of AI and finance, providing readers with a thorough understanding of the current state, challenges, and future possibilities of autonomous financial systems. In the rapidly evolving domain of autonomous finance, the convergence of computational intelligence techniques and financial technologies has paved the way for a new era of financial services. This transformation is driven by the integration of artificial intelligence (AI), machine learning (ML), blockchain, and big data analytics into financial systems, leading to the development of more responsive, efficient, and personalized financial products and services. Computational Intelligence for Autonomous Finance delves into the heart of this technological revolution, offering a comprehensive exploration of the theoretical foundations, practical applications, and future prospects of computational intelligence in the financial sector. The backbone of autonomous finance is a complex, interconnected ecosystem that leverages computational intelligence to automate decision-making processes, optimize financial operations, and enhance customer experiences. The book introduces the concept of an Intelligent Autonomous Financial Network (IAFN), which integrates various computational intelligence techniques with cutting-edge financial technologies to create a self-organizing, adaptive, and scalable financial system. The IAFN framework facilitates seamless interactions between diverse financial entities, enabling the provision of innovative financial services such as automated trading, real-time risk management, personalized financial planning, and fraud detection. The book meticulously analyzes the key challenges including data security and privacy concerns, algorithmic biases, regulatory compliance, and the need for interoperable standards. It also presents state-of-the-art solutions and best practices for overcoming these challenges, emphasizing the importance of ethical AI, robust data protection mechanisms, transparent algorithms, and collaborative regulatory frameworks. It discusses emerging trends such as quantum computing, edge computing, and decentralized finance (DeFi), highlighting their potential to further transform the financial landscape. The book also addresses the societal implications of autonomous finance, including its impact on employment, wealth distribution, and financial inclusion, advocating for a balanced approach that maximizes benefits while minimizing negative outcomes. Audience This book is aimed at researchers, industry professionals, policymakers, and graduate students in finance, computational intelligence, and related fields. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condición: new. Hardcover. The book serves as an essential guide and a deep dive into the intersection of AI and finance, providing readers with a thorough understanding of the current state, challenges, and future possibilities of autonomous financial systems. In the rapidly evolving domain of autonomous finance, the convergence of computational intelligence techniques and financial technologies has paved the way for a new era of financial services. This transformation is driven by the integration of artificial intelligence (AI), machine learning (ML), blockchain, and big data analytics into financial systems, leading to the development of more responsive, efficient, and personalized financial products and services. Computational Intelligence for Autonomous Finance delves into the heart of this technological revolution, offering a comprehensive exploration of the theoretical foundations, practical applications, and future prospects of computational intelligence in the financial sector. The backbone of autonomous finance is a complex, interconnected ecosystem that leverages computational intelligence to automate decision-making processes, optimize financial operations, and enhance customer experiences. The book introduces the concept of an Intelligent Autonomous Financial Network (IAFN), which integrates various computational intelligence techniques with cutting-edge financial technologies to create a self-organizing, adaptive, and scalable financial system. The IAFN framework facilitates seamless interactions between diverse financial entities, enabling the provision of innovative financial services such as automated trading, real-time risk management, personalized financial planning, and fraud detection. The book meticulously analyzes the key challenges including data security and privacy concerns, algorithmic biases, regulatory compliance, and the need for interoperable standards. It also presents state-of-the-art solutions and best practices for overcoming these challenges, emphasizing the importance of ethical AI, robust data protection mechanisms, transparent algorithms, and collaborative regulatory frameworks. It discusses emerging trends such as quantum computing, edge computing, and decentralized finance (DeFi), highlighting their potential to further transform the financial landscape. The book also addresses the societal implications of autonomous finance, including its impact on employment, wealth distribution, and financial inclusion, advocating for a balanced approach that maximizes benefits while minimizing negative outcomes. Audience This book is aimed at researchers, industry professionals, policymakers, and graduate students in finance, computational intelligence, and related fields. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New. 1st edition NO-PA16APR2015-KAP.