The Use Of Artificial Intelligence In The Decision Making Process For Bank Loans
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The Use Of Artificial Intelligence In The Decision Making Process For Bank Loans
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Author : Zainab Noori Falih
language : en
Publisher:
Release Date : 2021
The Use Of Artificial Intelligence In The Decision Making Process For Bank Loans written by Zainab Noori Falih and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Despite the consumer loan defaults and the increased opposition in the banking industry, most commercial banks remain wary of using Artificial Intelligence (AI) software systems to help make loan resolutions. This study suggests a variety of Artificial Neural Network (ANN) and machine learning models that identify ANN as a useful method for analysing loan applications and assisting commercial banks in making personal loan decisions. The importance of this work is to help in application decision-making to get accurate results, in this case, a knowledge discovery approach is needed. The tests are carried out with the aid of tools, such as Python scripting. The main goal of this dissertation is to introduce a method that will speed up the advancement of banking work. ANN was found to be a promising technology that can be used to evaluate loan applications by commercial banks. Neural computing technology can also provide educational skills not detected in other systems due to the complexity of loan evaluation tools and implementation gaps. Next to typical prevision and classification procedures are neural networks because they can capture nonlinear and dynamic interactions. The major objectives of this research were to strengthen and compare the efficiency of the multi-layer perceptron (MLP) of ANN in loan applications for board machine models, namely the ensemble boosting and average Filtering (5,000 samples with 14 characteristics). This study created a dependable master and easy-to-use approach for discovering knowledge based on the neural network and machine learning model. This study will show the results of different algorithms to see which one of them is giving more accurate results. The results were analysed and the accuracy performance was compared. Among the 8 models that we have implemented, xgb classifier, random forest, decision tree, and logistic regression have the highest accuracy and best F1 Score with almost accuracy of 98% and F1-Score of 91%.
Applications Of Block Chain Technology And Artificial Intelligence
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Author : Mohammad Irfan
language : en
Publisher: Springer Nature
Release Date : 2024-05-27
Applications Of Block Chain Technology And Artificial Intelligence written by Mohammad Irfan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-27 with Business & Economics categories.
Today, emerging technologies offer a new pathway for advancing the economy in the fields of banking, finance, and capital markets. Blockchain applications play a crucial role in ensuring trust and security within these industries by relying on transparency and visibility through peer-to-peer networks. The banking industry has also witnessed increased operations speed, better transparency, efficiency enhancement, fraud extenuation at less cost while sharing real-time data between various parties. Thus, the adoption of blockchain in the Banking and Insurance industry is developing very fast. It has emerged as the commonly accepted default platform for the banking and insurance industry. This book explores how blockchain technology optimizes and integrates transactions and operations, facilitating easier access to information. This, in turn, has the potential to reduce communication costs and minimize minor data transfer errors. Additionally, the book delves into the current applications of blockchain technology in the financial industry, discusses its limitations, and outlines its future prospects for broader accessibility. This book is aimed at students and researchers in financial engineering and fintech and it can serve as a reference for identifying problem areas and their possible solutions.
Artificial Intelligence
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Author : Arthur G.O. Mutambara
language : en
Publisher: CRC Press
Release Date : 2025-04-09
Artificial Intelligence written by Arthur G.O. Mutambara and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-09 with Computers categories.
This book presents contextualised and detailed research on Artificial Intelligence (AI) and the Global South. It examines the key challenges of these emerging and least industrialised countries while proffering holistic and comprehensive solutions. The book then explains how AI, as part of these broad interventions, can drive Global South economies to achieve inclusive development and shared prosperity. The book outlines how countries can swiftly prepare to adopt and develop AI across all sectors. It presents novel national, regional, and continental AI adoption, development, and implementation frameworks. Features: Broad non-AI interventions and prescriptions to address Global South challenges A comprehensive but accessible introduction to AI concepts, technology, infrastructure, systems, and innovations such as AlphaFold, ChatGPT-4, and DeepSeek-R1 An overview of AI-related technologies such as quantum computing, battery energy storage systems, 3D printing, nanotechnology, IoT, and blockchain How to prepare emerging economies to unlock the benefits of AI while mitigating the risks Discussion of specific AI applications in 11 critical Global South sectors Details of 11 sector case studies of AI adoption in the Global South and Global North Ten country case studies: Sharing emergent AI experiences in the Global South AI adoption framework: vision, strategy, policy, governance, legislation/regulation, and implementation matrix A framework for democratising and decolonising AI The value proposition for AI research, development, and ownership in the Global South A case for the participation of the Global South in the AI semiconductor industry This book is aimed at policymakers, business leaders, graduate students, academics, researchers, strategic thinkers, and world leaders seeking to understand and leverage the transformative role of AI-based systems in achieving inclusive development, economic transformation, and shared prosperity.
Research Handbook On Artificial Intelligence And Decision Making In Organizations
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Author : Ioanna Constantiou
language : en
Publisher: Edward Elgar Publishing
Release Date : 2024-03-14
Research Handbook On Artificial Intelligence And Decision Making In Organizations written by Ioanna Constantiou and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-14 with Business & Economics categories.
Featuring state-of-the-art research from leading academics in technology and organization studies, this timely Research Handbook provides a comprehensive overview of how AI becomes embedded in decision making in organizations, from the initial considerations when implementing AI to the use of such solutions in strategic decision making.
Generative Ai For Transformational Management
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Author : Gomathi Sankar, Jeganathan
language : en
Publisher: IGI Global
Release Date : 2024-08-27
Generative Ai For Transformational Management written by Gomathi Sankar, Jeganathan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Business & Economics categories.
The business world today is changing at a breakneck pace. Traditional management practices need help keeping up with the uncertainties and complexities of the digital age. Leaders face a lot of pressure to innovate, adapt, and drive transformative change within their organizations. However, they need more than just conventional wisdom to navigate this terrain. A deep understanding of emerging technologies like artificial intelligence (AI) and their practical applications in management is essential. Generative AI for Transformational Management offers a compelling solution to these challenges. This book provides a roadmap for leveraging AI to drive organizational transformation by exploring the intersection of generative AI and visionary leadership. By examining real-world case studies and practical applications, readers can learn how AI can be integrated into leadership practices to promote innovation and proactive decision-making and effectively navigate the complexities of the digital age.
Explainable Interpretable And Transparent Ai Systems
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Author : B. K. Tripathy
language : en
Publisher: CRC Press
Release Date : 2024-08-23
Explainable Interpretable And Transparent Ai Systems written by B. K. Tripathy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Technology & Engineering categories.
Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), and Deep Learning (DL) models. It provides examples, case studies, latest techniques, and applications from domains such as healthcare, finance, and network security. It also covers open-source interpretable tool kits so that practitioners can use them in their domains. Features: Presents a clear focus on the application of explainable AI systems while tackling important issues of “interpretability” and “transparency”. Reviews adept handling with respect to existing software and evaluation issues of interpretability. Provides insights into simple interpretable models such as decision trees, decision rules, and linear regression. Focuses on interpreting black box models like feature importance and accumulated local effects. Discusses capabilities of explainability and interpretability. This book is aimed at graduate students and professionals in computer engineering and networking communications.
Applications Of Artificial Intelligence In Business And Finance 5 0
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Author : Richa Goel
language : en
Publisher: CRC Press
Release Date : 2024-12-06
Applications Of Artificial Intelligence In Business And Finance 5 0 written by Richa Goel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.
This new book provides a valuable overview of how artificial intelligence (AI) applications are transforming global businesses and financial organizations, looking at the newest artificial intelligence-based solutions for e-commerce, corporate management, finance, banking and trading, and more. Chapters look at using AI and machine learning techniques to forecast and assess financial risks such as liquidity risk, volatility risk, and credit risk. The book also describes the use of natural language processing and text mining paired with machine learning models to assist in guiding sophisticated investors and corporate managers in financial decision making. Other topics include cryptocurrency in emerging markets; the role of artificial intelligence in making a positive impact on sustainable development; the use of fintech for micro, small and medium enterprises; the role of AI i financial education; the application of artificial intelligence in cyber security; and more.
Artificial Intelligence And Machine Learning In Business Management
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Author : Sandeep Kumar Panda
language : en
Publisher: CRC Press
Release Date : 2021-11-04
Artificial Intelligence And Machine Learning In Business Management written by Sandeep Kumar Panda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-04 with Business & Economics categories.
Artificial Intelligence and Machine Learning in Business Management The focus of this book is to introduce artificial intelligence (AI) and machine learning (ML) technologies into the context of business management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. It explores cultural heritage values and risk assessments for mitigation and conservation and discusses on-shore and off-shore technological capabilities with spatial tools for addressing marketing and retail strategies, and insurance and healthcare systems. Taking a multidisciplinary approach for using AI, this book provides a single comprehensive reference resource for undergraduate, graduate, business professionals, and related disciplines.
Digitalization In Additive Manufacturing
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Author : Numan M. Durakbasa
language : en
Publisher: Springer Nature
Release Date : 2025-07-14
Digitalization In Additive Manufacturing written by Numan M. Durakbasa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Technology & Engineering categories.
This book features a selection of papers presented at the 8th International Congress on 3D Printing Technologies and Digital Industry 2024 (3D-PTC2024), held from September 6–8, 2024, in Antalya, Türkiye, in a hybrid format. It covers several topics reflecting the dynamic landscape of additive manufacturing and digital innovation. The chapters explore cutting-edge advancements in materials and techniques, alongside practical applications in medical, dental, and industrial realms. Digital design, simulation, and sustainability considerations are presented with discussions on regulatory frameworks and future trends, offering a comprehensive view of this transformative field.
Recent Trends And Advances In Artificial Intelligence
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Author : Fausto P. Garcia
language : en
Publisher: Springer Nature
Release Date : 2024-11-21
Recent Trends And Advances In Artificial Intelligence written by Fausto P. Garcia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-21 with Computers categories.
This book presents a curated selection of papers from the International Conference on Advanced Engineering, Technology, and Applications (ICAETA24), hosted by the University of Catania, Italy, in March 2024. The conference is co-organized by Istinye University, Turkey. The book delves into the forefront of technological advancements, spotlighting the latest trends and applications of artificial intelligence across diverse domains and addressing real-world challenges with transformative solutions. Readers will gain insights into state-of-the-art models and methodologies, particularly focusing on their applications on benchmark datasets. The discussions and presentations within this volume are organized around four pivotal tracks: Artificial Intelligence and Machine Learning, Big Data and Cloud Computing, Internet of Things and Sensor Technology, and Applications of Artificial Intelligence. Each track offers a deep dive into its respective domain, exploring the profound impact of technological innovations on various industries and sectors.