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Financial Inclusion, Sustainability, and the Influence of Religion and Technology
Financial inclusion has proven to be a looming issue challenging policymakers and scholars. Financial inclusion revolves around the fundamental notion of ensuring that individuals from all walks of life have access to affordable and effective financial products and services that cater to their unique needs. Yet, as we grapple with this issue, we find it entwined with other critical factors such as religious and cultural norms, technological advancements, and sustainability goals. The intricate web of these elements forms a complex tapestry that requires deep exploration and understanding. Financial Inclusion, Sustainability, and the Influence of Religion and Technology is a groundbreaking bo...
Finance for Sustainability in a Turbulent Economy
Climate change and the depletion of resources will have a long-lasting effect on the globe. Thus, it is essential that businesses and organizations across the world adopt financial practices and strategies that allow them to continue their service, limit emissions, and preserve resources. However, these practices are only made more difficult to adopt within the context of a turbulent economy. In this context, it is imperative to research financial strategies to protect the environment and support business resilience. Finance for Sustainability in a Turbulent Economy provides international financial strategies to achieve sustainable business practices within a turbulent economy. It highlights the importance of maintaining environmental health in a cost-effective way. Covering topics such as environmental finance, renewable energy frameworks, and social responsibility, this premier reference source is an essential resource for environmental scientists, government officials, engineers, business executives, environmentalists, politicians, students and educators of higher education, researchers, and academicians.
Artificial Intelligence Approaches to Sustainable Accounting
In an age defined by unparalleled technological advancements, globalization, and the looming specter of environmental and societal crises, the need for a holistic and sustainable approach to accounting practices has never been more pressing. Academic scholars stand witness to the challenges posed by the new era, characterized by transformative shifts across industry, education, community, and society at large. These shifts, driven by rapid advancements in Artificial Intelligence (AI), present a double-edged sword. While AI offers unprecedented opportunities for innovation, it also amplifies the urgency of addressing sustainability concerns. Today's society grapples with the immense responsib...
Social and Ethical Implications of AI in Finance for Sustainability
The crucial challenge of integrating sustainability into business and investment decisions is compounded by the complexity of analyzing vast and intricate datasets to make informed choices. Traditional approaches often fail to provide timely and accurate insights into environmental, social, and governance (ESG) factors, hindering progress toward a greener future. Additionally, the rapid evolution of AI and machine learning in finance has left many professionals needing help to grasp their full potential in advancing sustainability goals. With a comprehensive understanding and practical guidance, organizations can stay caught up in adopting sustainable practices and leveraging AI for financia...
Impact of Digitalization on Reporting, Tax Avoidance, Accounting, and Green Finance
Digital era reporting undergoes a seismic shift as automation takes center stage. The transition from manual reporting to real-time automated systems enhances precision and efficiency and reduces errors, empowering decision-makers. However, this era of digital reporting brings forth a new set of challenges, from data security and privacy concerns to the imperative need for robust cybersecurity measures. Impact of Digitalization on Reporting, Tax Avoidance, Accounting, and Green Finance delves into this transformative wave, comprehensively exploring its consequences on these critical domains. The book meticulously dissects both the positive and negative repercussions, encapsulating the challe...
Six Sigma DMAIC and Markov Chain Monte Carlo Applications to Financial Risk Management
Financial institutions face a critical challenge in managing financial risks effectively under the stringent regulatory frameworks of Basel III and Solvency II. Traditional risk management approaches often need to provide the necessary tools to control risks in a dynamic and evolving market environment. A comprehensive methodology integrating advanced risk analysis concepts and structured frameworks is essential for institutions to achieve optimal risk management outcomes, leading to increased solvency risk, capital requirements, and value at risk (VAR). Six Sigma DMAIC and Markov Chain Monte Carlo Applications to Financial Risk Management is a groundbreaking book that presents a transformative approach to financial risk management. Inspired by Peter L. Bernstein's insight on risk control, this book introduces a unique methodology that combines the DMAIC framework with advanced risk analysis concepts. Financial institutions can enhance their risk management processes by applying these tools to internal models for Solvency II and Basel III, reduce solvency risk, and improve competitiveness.
Pattern Recognition and Machine Learning
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Bacterial Secondary Metabolites
Bacterial Secondary Metabolites: Synthesis and Applications in Agroecosystem presents the structure, properties, and biotechnological applications of bacterial metabolites and their upcoming industrial, pharmaceutical, antimicrobial, and anticancer applications. Chapters cover topics such as the use of lactic acid bacteria as an antifungal and antibacterial agent, bacterial siderophores structure and potential applications, and the role of cyanobacteria metabolites in disease management, among others. Plant and agri-food environmental scientists and researchers, graduate and post-graduate students in related fields will benefit from this reference book which is published as part of the series Nanobiotechnology for Plant Protection. - Explores how research might lead to the production of new bio-based commercial solutions to tackle global agricultural and human diseases - Contains extensive information to understand the intricate processes of cryptic genes and their relationship to the synthesis of bioactive chemicals - Provides in-depth insights into microbial biotechnology, namely secondary metabolites
