Cognitive Infrastructure For Intelligent Financial Operations
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Cognitive Infrastructure For Intelligent Financial Operations
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Author : Kishore Challa
language : en
Publisher: BUDHA PUBLICATIONS
Release Date :
Cognitive Infrastructure For Intelligent Financial Operations written by Kishore Challa and has been published by BUDHA PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
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Cognition In Motion Designing Secure Autonomous And Ethical Intelligence Systems For Digital Financial Operations
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Author : Srinivasarao Paleti
language : en
Publisher: BUDHA PUBLICATIONS
Release Date :
Cognition In Motion Designing Secure Autonomous And Ethical Intelligence Systems For Digital Financial Operations written by Srinivasarao Paleti and has been published by BUDHA PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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The New Frontiers Of Financial Services Redefining Value With Artificial Intelligence Driven Intelligence And Automation
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Author : Ramesh Inala
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-10
The New Frontiers Of Financial Services Redefining Value With Artificial Intelligence Driven Intelligence And Automation written by Ramesh Inala and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Business & Economics categories.
The world of financial services is undergoing a generational shift. At its core, this transformation is being driven by artificial intelligence, next-generation digital infrastructure and intelligent automation, all of which are combining to reshape how we think about money, trust and value. This book brings you inside this changing world. It is written for professionals, researchers, academics and anyone with an interest in making sense where finance is heading and how these changes are impacting us, as consumers, investors and the future of banking and risk management in the digital age. Whether it's robo-advisors making financial planning more accessible, or AI helping institutions make smarter, faster decisions, this book explores the real-life applications and human impact of these technologies. You'll find rich studies, historical context, and glimpses into the future that show a clear picture of what's changing and why it matters. But beyond deciphering tech, this book links innovation to the individual’s everyday life. It provides a road map for navigating the opportunities, challenges and ethical questions of this new age for finance, and as such is an essential guide for anyone trying to stay ahead in a world where intelligence increasingly resides, in many different forms that aren’t human.
Computational Intelligence In Sustainable Computing And Optimization
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Author : Balamurugan Balusamy
language : en
Publisher: Elsevier
Release Date : 2024-10-08
Computational Intelligence In Sustainable Computing And Optimization written by Balamurugan Balusamy and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Computers categories.
Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications, such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, artificial intelligence, and computer science to optimize environmental resourcesComputational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. In addition, data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modeling, data analysis, and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable. - Presents computational, intelligence–based data analysis for sustainable computing applications such as pattern recognition, biomedical imaging, sustainable cities, sustainable transport, sustainable agriculture, and sustainable financial management - Develops research in sustainable computing and optimization, combining methods from engineering, mathematics, and computer science to optimize environmental resources - Includes three foundational chapters dedicated to providing an overview of computational intelligence and optimization techniques and their applications for sustainable computing
The Fabric Of Digital Autonomy Rethinking Decision Systems In Modern Financial Networks And Intelligent Infrastructure
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Author : Avinash Pamisetty
language : en
Publisher: BUDHA PUBLICATIONS
Release Date :
The Fabric Of Digital Autonomy Rethinking Decision Systems In Modern Financial Networks And Intelligent Infrastructure written by Avinash Pamisetty and has been published by BUDHA PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Business Intelligence Strategy And Big Data Analytics
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Author : Steve Williams
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-04-08
Business Intelligence Strategy And Big Data Analytics written by Steve Williams and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-08 with Computers categories.
Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like "big data and "big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. - Provides ideas for improving the business performance of one's company or business functions - Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies - Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans
Revolutionizing Finance Leveraging Artificial Intelligence Machine Learning And Big Data For Smarter Credit Risk And Fraud Protection
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Author : Harish Kumar Sriram
language : en
Publisher: Deep Science Publishing
Release Date : 2025-04-26
Revolutionizing Finance Leveraging Artificial Intelligence Machine Learning And Big Data For Smarter Credit Risk And Fraud Protection written by Harish Kumar Sriram and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-26 with Business & Economics categories.
In today’s fast-paced digital economy, financial institutions are facing increasing pressure to make smarter, faster, and more secure decisions. As global markets grow more interconnected and cyber threats more sophisticated, traditional approaches to credit risk assessment and fraud prevention are no longer sufficient. Revolutionizing Finance: Leveraging AI, ML, and Big Data for Smarter Credit Risk and Fraud Protection presents a forward-looking perspective on how intelligent technologies are transforming the foundations of financial security and trust. This book is the product of years of research, industry observation, and a deep belief that innovation is the key to sustainable financial health. Artificial intelligence (AI), machine learning (ML), and big data analytics have evolved from buzzwords into essential tools for financial resilience. They offer the ability to detect patterns, predict risk, and prevent fraud in ways that were unimaginable just a decade ago. Our goal is to demystify these technologies and demonstrate how they can be applied to create more dynamic and accurate credit models, reduce false positives in fraud detection, and increase operational efficiency. By blending theory with real-world applications, we provide readers with both the foundational knowledge and practical insights needed to embrace and implement these transformative tools. This book is designed for financial professionals, data scientists, policymakers, and anyone with a vested interest in the future of finance. We aim to empower readers with the confidence to lead change, harness data intelligently, and build systems that are not only reactive but predictive and proactive. As we stand at the intersection of finance and technology, we invite you to explore the possibilities and challenges that lie ahead. The journey to revolutionized finance starts here — and it's powered by intelligence, innovation, and data.
Applications Of Artificial Intelligence In Business Education And Healthcare
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Author : Allam Hamdan
language : en
Publisher: Springer Nature
Release Date : 2021-07-12
Applications Of Artificial Intelligence In Business Education And Healthcare written by Allam Hamdan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-12 with Technology & Engineering categories.
This book focuses on the implementation of Artificial Intelligence in Business, Education and Healthcare, It includes research articles and expository papers on the applications of Artificial Intelligence on Decision Making, Entrepreneurship, Social Media, Healthcare, Education, Public Sector, FinTech, and RegTech. It also discusses the role of Artificial Intelligence in the current COVID-19 pandemic, in the health sector, education, and others. It also discusses the impact of Artificial Intelligence on decision-making in vital sectors of the economy.
Data Mining And Business Intelligence
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Author : Dr. Jyotiranjan Hota
language : en
Publisher: BPB Publications
Release Date : 2025-05-20
Data Mining And Business Intelligence written by Dr. Jyotiranjan Hota and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.
DESCRIPTION Data mining is crucial in business intelligence as it enables organizations to extract valuable insights and patterns from vast datasets, ultimately supporting informed decision-making, enhancing operational efficiency, and driving strategic growth. Validations, model building and interpretations are accomplished through databases, data warehouses, various supervised and unsupervised algorithms, tools for data modeling, descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics to ensure accurate decision-making. This book systematically explores the core concepts and techniques of data mining and business intelligence. It begins by introducing fundamental principles and key methodologies, including regression, classification, association rule mining, and clustering. The text progresses to cover business intelligence architectures, data warehousing, and essential practices like data modeling, dashboard design, and data visualization using tools like Power BI. Furthermore, it delves into advanced topics such as text mining, big data analytics, and the ethical considerations surrounding data mining and business intelligence, ensuring a well-rounded understanding. Upon completing this book, readers will be competent in understanding various pre-processing techniques, applying appropriate data mining algorithms to large data sets, and conducting data analysis and interpretation to derive meaningful insights. They will also gain skills in data modeling and visualization to effectively communicate findings to business leaders and policymakers. Additionally, readers will develop an understanding of ethical considerations in data practices. WHAT YOU WILL LEARN ● Conducting pre-processing of data, applying appropriate algorithm to generate model summary and communicating the result effectively. ● Master data mining, BI principles, regression, classification, association rules, and clustering. ● Design BI architectures, ETL processes, data warehouses, and effective data visualizations. ● Utilize Power BI for data modeling, dashboard design, and create compelling data visualizations. ● Explore text mining, big data analytics, and the ethical dimensions of data practices. ● Implement regression, classification, association rule mining, and clustering techniques. ● Develop expertise in data mining, business intelligence, and ethical data application. WHO THIS BOOK IS FOR This textbook is written for a wide range of audiences, including professionals such as data analysts, business managers, IT specialists, analytics professionals, and researchers seeking to enhance their understanding of data-driven decision-making. It is also valuable for students who want to establish foundational knowledge in data mining and business intelligence. TABLE OF CONTENTS 1. Introduction to Data Mining and Business Intelligence 2. Regression and Classification Techniques with Applications 3. Concept and Application of Association Rule Mining Algorithm 4. Clustering 5. Introduction to Business Intelligence 6. Business Intelligence Architecture, Query and Reporting Practices 7. Advanced Data Mining and Business Intelligence Techniques 8. Data Mining and Business Intelligence Ethical Framework
Behavioral Intelligence And Operational Design Exploring Modern Service Models Customer Centric Platforms And Sustainable Digital Infrastructure
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Author : Srinivas Kalyan Yellanki
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-10
Behavioral Intelligence And Operational Design Exploring Modern Service Models Customer Centric Platforms And Sustainable Digital Infrastructure written by Srinivas Kalyan Yellanki and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Computers categories.
In an era defined by rapid technological evolution and shifting consumer expectations, organizations are rethinking how they design, deliver, and sustain value. Behavioral Intelligence and Operational Design: Exploring Modern Service Models, Customer-Centric Platforms, and Sustainable Digital Infrastructure offers a timely exploration of how forward-thinking enterprises can align human behavior with intelligent systems to drive lasting transformation. This book is born from the convergence of disciplines—behavioral science, service design, and digital architecture. It aims to bridge theory with practice, helping leaders, strategists, and technologists understand the nuanced interplay between human motivation and operational efficiency. Through the lens of behavioral intelligence, we examine how insights into user behavior can inform smarter design decisions, foster engagement, and unlock new forms of value creation. Modern service models are no longer built on static processes—they are dynamic, adaptive, and increasingly customer-driven. In these pages, we explore how platforms can be architected to empower users, scale seamlessly, and evolve sustainably. We also tackle the critical need for digital infrastructure that supports innovation while remaining resilient and environmentally responsible. Each chapter is designed to provoke thought, spark innovation, and provide actionable insights. Whether you are designing digital services, reimagining operational frameworks, or seeking to future-proof your organization, this book offers a roadmap to navigate complexity with clarity and purpose. Our hope is that this work serves as both a guide and a catalyst, enabling organizations to thrive in a world where intelligence, empathy, and sustainability are not just competitive advantages, but foundational imperatives.