Ai Ml For Decision And Risk Analysis
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Ai Ml For Decision And Risk Analysis
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Author : Louis Anthony Cox Jr
language : en
Publisher:
Release Date : 2023
Ai Ml For Decision And Risk Analysis written by Louis Anthony Cox Jr and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
This book explains and illustrates recent developments and advances in decision-making and risk analysis. It demonstrates how artificial intelligence (AI) and machine learning (ML) have not only benefitted from classical decision analysis concepts such as expected utility maximization but have also contributed to making normative decision theory more useful by forcing it to confront realistic complexities. These include skill acquisition, uncertain and time-consuming implementation of intended actions, open-world uncertainties about what might happen next and what consequences actions can have, and learning to cope effectively with uncertain and changing environments. The result is a more robust and implementable technology for AI/ML-assisted decision-making. The book is intended to inform a wide audience in related applied areas and to provide a fun and stimulating resource for students, researchers, and academics in data science and AI-ML, decision analysis, and other closely linked academic fields. It will also appeal to managers, analysts, decision-makers, and policymakers in financial, health and safety, environmental, business, engineering, and security risk management.
Ai Ml For Decision And Risk Analysis
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Author : Louis Anthony Cox Jr.
language : en
Publisher: Springer Nature
Release Date : 2023-07-05
Ai Ml For Decision And Risk Analysis written by Louis Anthony Cox Jr. and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-05 with Business & Economics categories.
This book explains and illustrates recent developments and advances in decision-making and risk analysis. It demonstrates how artificial intelligence (AI) and machine learning (ML) have not only benefitted from classical decision analysis concepts such as expected utility maximization but have also contributed to making normative decision theory more useful by forcing it to confront realistic complexities. These include skill acquisition, uncertain and time-consuming implementation of intended actions, open-world uncertainties about what might happen next and what consequences actions can have, and learning to cope effectively with uncertain and changing environments. The result is a more robust and implementable technology for AI/ML-assisted decision-making. The book is intended to inform a wide audience in related applied areas and to provide a fun and stimulating resource for students, researchers, and academics in data science and AI-ML, decision analysis, and other closely linked academic fields. It will also appeal to managers, analysts, decision-makers, and policymakers in financial, health and safety, environmental, business, engineering, and security risk management.
Artificial Intelligence In Medicine And Surgery
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-11-20
Artificial Intelligence In Medicine And Surgery written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-20 with Computers categories.
Never before in human history has the opportunity to create a better future look more real or promising. The information-technology revolution that started in the mid-twentieth century with the introduction of the transistor, and then the integrated circuit, has gradually transformed into the Internet revolution, then the blockchain revolution, and now is transforming again into the artificial intelligence (AI) revolution. Why is now such a pivotal time, with so much optimism for a better future? The answer is complex and multifaceted. Perhaps most importantly, the introduction of low-cost, AI-enabled technological advances creates an ideal environment for the rapid attainment of global equity across multiple sectors of society and economy. Healthcare in general and medicine in particular stand to benefit tremendously from this new, previously unavailable capacity—a result of the synergistic effects of modern, cutting-edge technologies working together. For example, greater access to decentralized, locally based, AI-aided/facilitated medical education may help fulfill the dreams of individuals who previously were not able to become physicians. In another example, increasing the use of point-of-care AI/ML in the clinical setting promises to bring true precision medicine to populations that previously did not have adequate access to healthcare in general. The level of positive disruption possible with optimized, ethical, and thoughtful implementation of AI in healthcare may produce constructive ripple effects not dissimilar to the introduction of cellular telephony into areas of the world without prior telephone access. This book discusses both current trends and future developments in AI/ML across healthcare, with a focus on the transformational impact of this emerging technological domain on enhancing the access, accuracy, education, equity, quality, safety, and value of modern care delivery.
Utilizing Ai And Machine Learning In Financial Analysis
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2025-01-21
Utilizing Ai And Machine Learning In Financial Analysis written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Business & Economics categories.
Machine learning models can imitate the cognitive process by assimilating knowledge from data and employing it to interpret and analyze information. Machine learning methods facilitate the comprehension of vast amounts of data and reveal significant patterns incorporated within it. This data is utilized to optimize financial business operations, facilitate well-informed judgements, and aid in predictive endeavors. Financial institutions utilize it to enhance pricing, minimize risks stemming from human error, mechanize repetitive duties, and comprehend client behavior. Utilizing AI and Machine Learning in Financial Analysis explores new trends in machine learning and artificial intelligence implementations in the financial sector. It examines techniques in financial analysis using intelligent technologies for improved business services. This book covers topics such as customer relations, predictive analytics, and fraud detection, and is a useful resource for computer engineers, security professionals, business owners, accountants, academicians, data scientists, and researchers.
Artificial Intelligence For Financial Risk Management And Analysis
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Author : Derbali, Abdelkader Mohamed Sghaier
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Artificial Intelligence For Financial Risk Management And Analysis written by Derbali, Abdelkader Mohamed Sghaier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Business & Economics categories.
The revolution of artificial intelligence (AI) impacts various business sectors, including accounting and finance. Machine intelligence is on the rise in human interaction, as novel technologies automate tasks and enhance human capabilities at an increasingly rapid rate. While AI has the potential to assist in the identification and management of risks, such as in financial risk measurement, analysis, and management, the disruptive nature of these emerging technologies introduces new and complex scenarios. Utilizing these technologies to facilitate decision-making processes could result in biased, inequitable, and unreliable decisions, giving rise to concerns regarding data, privacy, and security. Further research is necessary to understand the implications of AI in financial practices. Artificial Intelligence for Financial Risk Management and Analysis delves into the most recent advancements in AI technologies that facilitate risk analysis and decision-making. It examines the potential risks these technologies pose to individuals, businesses, and establishments. Covering topics such as firm management, automation, and long short-term memory (LSTM) networks, this book is an excellent resource for financial advisors, banking professionals, computer scientists, professionals, researchers, academicians, and more.
Artificial Intelligence And Machine Learning Transforming The Future
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Author : Ms. Ritwika Mukherjee
language : en
Publisher: Chyren Publication
Release Date : 2025-05-01
Artificial Intelligence And Machine Learning Transforming The Future written by Ms. Ritwika Mukherjee and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Antiques & Collectibles categories.
Data Analytics For Management Banking And Finance
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Author : Foued Saâdaoui
language : en
Publisher: Springer Nature
Release Date : 2023-09-19
Data Analytics For Management Banking And Finance written by Foued Saâdaoui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-19 with Business & Economics categories.
This book is a practical guide on the use of various data analytics and visualization techniques and tools in the banking and financial sectors. It focuses on how combining expertise from interdisciplinary areas, such as machine learning and business analytics, can bring forward a shared vision on the benefits of data science from the research point of view to the evaluation of policies. It highlights how data science is reshaping the business sector. It includes examples of novel big data sources and some successful applications on the use of advanced machine learning, natural language processing, networks analysis, and time series analysis and forecasting, among others, in the banking and finance. It includes several case studies where innovative data science models is used to analyse, test or model some crucial phenomena in banking and finance. At the same time, the book is making an appeal for a further adoption of these novel applications in the field of economics and finance so that they can reach their full potential and support policy-makers and the related stakeholders in the transformational recovery of our societies. The book is for stakeholders involved in research and innovation in the banking and financial sectors, but also those in the fields of computing, IT and managerial information systems, helping through this new theory to better specify the new opportunities and challenges. The many real cases addressed in this book also provide a detailed guide allowing the reader to realize the latest methodological discoveries and the use of the different Machine Learning approaches (supervised, unsupervised, reinforcement, deep, etc.) and to learn how to use and evaluate performance of new data science tools and frameworks
Ai And Machine Learning Applications In Supply Chains And Marketing
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Author : Masengu, Reason
language : en
Publisher: IGI Global
Release Date : 2024-10-18
Ai And Machine Learning Applications In Supply Chains And Marketing written by Masengu, Reason 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.
While artificial intelligence (AI) simulates human intelligence in machines, machine learning (ML) enables systems to learn from data without explicit programming. In marketing and supply chain management, AI and ML empower businesses to analyze consumer behavior, personalize experiences, optimize advertising strategies, forecast consumer demands, manage inventory, plan routes, and mitigate risks. Businesses can enhance efficiency, accuracy, decision-making, customer engagement, and cost-effectiveness when integrating AI and ML in marketing and supply chain operations. Further research is necessary to drive success in the dynamic marketplace. AI and Machine Learning Applications in Supply Chains and Marketing bridges the gap between theoretical knowledge and practical application of AI and ML in marketing and supply chain management. It examines emerging technologies that can revolutionize industries by transforming business operations. This book covers topics such as data analysis, sustainable development, and blockchain, and is a useful resource for business owners, economists, marketing professionals, engineers, computer scientists, academicians, and researchers.
Explainable And Responsible Artificial Intelligence In Healthcare
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Author : Rishabha Malviya
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-01
Explainable And Responsible Artificial Intelligence In Healthcare written by Rishabha Malviya and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-01 with Computers categories.
This book presents the fundamentals of explainable artificial intelligence (XAI) and responsible artificial intelligence (RAI), discussing their potential to enhance diagnosis, treatment, and patient outcomes. This book explores the transformative potential of explainable artificial intelligence (XAI) and responsible AI (RAI) in healthcare. It provides a roadmap for navigating the complexities of healthcare-based AI while prioritizing patient safety and well-being. The content is structured to highlight topics on smart health systems, neuroscience, diagnostic imaging, and telehealth. The book emphasizes personalized treatment and improved patient outcomes in various medical fields. In addition, this book discusses osteoporosis risk, neurological treatment, and bone metastases. Each chapter provides a distinct viewpoint on how XAI and RAI approaches can help healthcare practitioners increase diagnosis accuracy, optimize treatment plans, and improve patient outcomes. Readers will find the book: explains recent XAI and RAI breakthroughs in the healthcare system; discusses essential architecture with computational advances ranging from medical imaging to disease diagnosis; covers the latest developments and applications of XAI and RAI-based disease management applications; demonstrates how XAI and RAI can be utilized in healthcare and what problems the technology faces in the future. Audience The main audience for this book is targeted to scientists, healthcare professionals, biomedical industries, hospital management, engineers, and IT professionals interested in using AI to improve human health.
Information Systems Research In Vietnam Volume 3
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Author : Nguyen Hoang Thuan
language : en
Publisher: Springer Nature
Release Date : 2025-01-25
Information Systems Research In Vietnam Volume 3 written by Nguyen Hoang Thuan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-25 with Computers categories.
This book, the third volume of Information Systems Research in Vietnam, presents a special theme that focuses on two emerging and critical topics of the twenty-first century: “Digital Transformation” and “Sustainable Development”. Digital transformation, which consists of digitization of products and digitalization of work processes, has brought forth exciting new business models that disrupt traditional industries. Digital transformation has been embedded in the 2030 National Digital Transformation Programme of the Vietnamese government, leading to numerous digital businesses that offer significant value in various sectors, including retail, manufacturing, education, and health care. Partly due to the United Nations (UN) 17 Sustainable Development Goals (SDGs) specifying the key development areas and outlining collective actions to ensure continuing peace and prosperity for people and the planet, organizations in Vietnam are becoming increasingly aware of the importance of sustainable development and the adoption of sustainability governance frameworks such as ESG to gain strategic advantages in the turbulent markets. Information systems (IS), in particular, has profound impacts on achieving Sustainable Development. However, best practices and case studies about Digital Transformation and how this transformation and IS applications influence Sustainable Development in Vietnam have not been documented and studied, in spite of the rapid developments in these areas in both public and private sectors. This book, therefore, contributes to the existing body of knowledge and benefits a wide range of readers in several ways. Firstly, the book benefits scholars and students, both in Vietnam and globally, by advancing knowledge and presenting research on the latest trends in contemporary topics such as Digital Transformation and Sustainable Development, especially in the under-researched Vietnam context. Secondly, industry practitioners and experts, both in Vietnam and globally, will benefit from reading this book to keep up with the current trends, case studies, and applications. Thirdly, by presenting the most up to date knowledge on the topic, this book creates a shared understanding to help facilitate future research in the IS field, as well as providing the background to pave the way for collaboration between scholars, experts, and industry practitioners.