Sanjay Taneja – 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.

Finance Analytics in Business brings together specialists around the world working in various disciplines to reflect on finance analytics in business. This crucial field gives different views of a company’s financial data, and helps it gain knowledge to take action to improve financial performance.

The chapters discuss the Time Series Analysis with ARIMA Model, ARIMA Modelling in R, Credit Risk Modelling, GARCH Modelling, GARCH Models Best for Asset Returns, Software for conducting event studies (Eventus, STATA, Matlab, Event Study Metrics, Event Study Tools), Developing insights on Descriptive Analysis, Predictive Analysis, Prescriptive Analysis, Forecasting Methods, Decision Analysis, Analytics tools used in Banking, Role of Business Intelligence, Machine learning, financial Modelling, and Artificial intelligence in finance.

Emerald Studies in Finance, Insurance, And Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.

Finance Analytics in Business brings together specialists around the world working in various disciplines to reflect on finance analytics in business. This crucial field gives different views of a company’s financial data, and helps it gain knowledge to take action to improve financial performance.

The chapters discuss the Time Series Analysis with ARIMA Model, ARIMA Modelling in R, Credit Risk Modelling, GARCH Modelling, GARCH Models Best for Asset Returns, Software for conducting event studies (Eventus, STATA, Matlab, Event Study Metrics, Event Study Tools), Developing insights on Descriptive Analysis, Predictive Analysis, Prescriptive Analysis, Forecasting Methods, Decision Analysis, Analytics tools used in Banking, Role of Business Intelligence, Machine learning, financial Modelling, and Artificial intelligence in finance.

Emerald Studies in Finance, Insurance, And Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.

Fintech refers to new technology that improve and automates the financial services delivery system. The main essence of fintech is to help consumers, companies, and business owners to better manage their financial operations, processes, and lives by utilizing algorithms and specialized software that are used on computers and, increasingly, smartphones.

Financial Landscape Transformation collects chapters to present the current and probable future state of banking and money with the advent of fintech. It will provide a broader perspective on contemporary financial products, services, technology and regulations, highlighting innovations in financial sector and opportunities created. Contributions from authors of regional diversity provide a range of perspectives and an opportunity to analyse where different countries are up to in terms of Fintech and its applications.

Fintech refers to new technology that improve and automates the financial services delivery system. The main essence of fintech is to help consumers, companies, and business owners to better manage their financial operations, processes, and lives by utilizing algorithms and specialized software that are used on computers and, increasingly, smartphones.

Financial Landscape Transformation collects chapters to present the current and probable future state of banking and money with the advent of fintech. It will provide a broader perspective on contemporary financial products, services, technology and regulations, highlighting innovations in financial sector and opportunities created. Contributions from authors of regional diversity provide a range of perspectives and an opportunity to analyse where different countries are up to in terms of Fintech and its applications.

Our economies currently encourage excessive consumerism, weakening social ties, and depleting natural resources. Unfortunately, this is just the way economies have been developing. However, it is neither inevitable nor necessary. It takes a fresh economic vision to address these issues: a Green Economy. The concept of a "green economy" does not supplant sustainable development but instead places a fresh emphasis on a region''s economy, investments pertaining to infrastructure, job and skill needs, and favourable social and environmental consequences.

Sustainability Development through Green Economics examines sustainable finance, green tourism, green marketing as a tributary towards sustainable development. The multidisciplinary chapters traverse the power of economic as well as financial policy, green investment, green insurance as well as green infrastructural development to ensure sustainable development.

Contemporary Studies in Economic and Financial Analysis publishes a series of current and relevant themed volumes within the fields of economics and finance. Both disciplinary and interdisciplinary studies are welcome.