Mohit Kukreti – författare

This book offers a comprehensive exploration of the profound challenges and opportunities presented by deepfake technology across industries, society, and governance. It delves into the multifaceted impacts of synthetic media, examining its potential to reshape corporate trust, economic stability, and public discourse while emphasizing strategies to build resilience and ethical frameworks.

Key themes include the role of intellectual capital in safeguarding corporate reputation, the risks of deepfake fraud in financial markets, and the implications for insurance, banking, and fintech sectors. Through cross-disciplinary analyses, the book unravels the disruptive influence of deepfakes on political affairs, economic policies, and corporate transparency.

Highlighting real-world case studies, it addresses workplace resilience, data-driven decision-making, and the intersection of deepfake technology with marketing innovation and job satisfaction. From social media marketing to public trust and privacy concerns, the book offers actionable insights for navigating the ethical dilemmas posed by synthetic media.

With a focus on collaboration across disciplines, the book equips readers with strategies for mitigating risks, promoting media literacy, and leveraging AI responsibly. Mastering Deepfake Technology is an essential guide for academics, professionals, and policymakers seeking to understand and address the complexities of this emerging frontier.

Data Alchemy in the Insurance Industry: The Transformative Power of Big Data Analytics is a groundbreaking work that explores the transformative power of big data analytics within the insurance industry. This collected edition takes readers on a journey into the world of data-driven alchemy, where insurers turn vast amounts of information into valuable insights and innovations. By demystifying the complex realm of big data, Data Alchemy empowers insurance researchers and professionals to harness data effectively, create efficiencies, and achieve a competitive edge.

This collected edition provides a comprehensive and practical roadmap for insurers, data scientists, technologists, and insurance enthusiasts alike, to navigate the data-driven revolution that is sweeping the insurance landscape. Authors in this work offer a series of case studies featuring renowned insurance companies that have successfully harnessed data analytics for strategic gains. They discuss not only the technological facets but also regulatory concerns, ethical considerations, and the human element in data-driven insurance transformation. This work anticipates the future trends and challenges that will shape the insurance industry, providing insights into how data alchemy will continue to evolve and impact the sector.

This collected edition is essential reading for data scientists, technologists, researchers in the field of big data analytics, as well as insurers who implement research findings.

Data Alchemy in the Insurance Industry: The Transformative Power of Big Data Analytics is a groundbreaking work that explores the transformative power of big data analytics within the insurance industry. This collected edition takes readers on a journey into the world of data-driven alchemy, where insurers turn vast amounts of information into valuable insights and innovations. By demystifying the complex realm of big data, Data Alchemy empowers insurance researchers and professionals to harness data effectively, create efficiencies, and achieve a competitive edge.

This collected edition provides a comprehensive and practical roadmap for insurers, data scientists, technologists, and insurance enthusiasts alike, to navigate the data-driven revolution that is sweeping the insurance landscape. Authors in this work offer a series of case studies featuring renowned insurance companies that have successfully harnessed data analytics for strategic gains. They discuss not only the technological facets but also regulatory concerns, ethical considerations, and the human element in data-driven insurance transformation. This work anticipates the future trends and challenges that will shape the insurance industry, providing insights into how data alchemy will continue to evolve and impact the sector.

This collected edition is essential reading for data scientists, technologists, researchers in the field of big data analytics, as well as insurers who implement research findings.

This book provides a structured roadmap for managers, researchers, and policymakers to navigate the evolving landscape, offering insights into brand perception, financial decision-making, corporate transparency, and governance. Deepfake technology is reshaping industries, raising critical ethical, managerial, and regulatory challenges. Bringing together interdisciplinary research, it blends statistical analysis, structural equation modeling, and bibliometric approaches to explore real-world applications and mitigation strategies. With case studies spanning hospitality, sports, education, and SMEs, the book equips professionals with tools to detect, manage, and ethically engage with deepfake advancements. An essential resource for academics, business leaders, and policymakers, it fosters informed decision-making in an era of digital deception.