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| financial services cloud insurance data model: Data Science and Risk Analytics in Finance and Insurance Tze Leung Lai, Haipeng Xing, 2024-10-02 This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I covers the background, financial models, and data analytical methods for market risk, credit risk, and operational risk in financial instruments, as well as models of risk premium and insolvency in insurance contracts. Part II provides an overview of machine learning (including supervised, unsupervised, and reinforcement learning), Monte Carlo simulation, and sequential analysis techniques for risk analytics. In Part III, the book offers a non-technical introduction to four key areas in financial technology: artificial intelligence, blockchain, cloud computing, and big data analytics. Key Features: Provides a comprehensive and in-depth overview of data science methods for financial and insurance risks. Unravels bandits, Markov decision processes, reinforcement learning, and their interconnections. Promotes sequential surveillance and predictive analytics for abrupt changes in risk factors. Introduces the ABCDs of FinTech: Artificial intelligence, blockchain, cloud computing, and big data analytics. Includes supplements and exercises to facilitate deeper comprehension. |
| financial services cloud insurance data model: New Horizons for a Data-Driven Economy José María Cavanillas, Edward Curry, Wolfgang Wahlster, 2016-04-04 In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment. |
| financial services cloud insurance data model: Financial Data Analytics Sinem Derindere Köseoğlu, 2022-04-25 This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization. This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics. |
| financial services cloud insurance data model: Cloud Technology: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2014-10-31 As the Web grows and expands into ever more remote parts of the world, the availability of resources over the Internet increases exponentially. Making use of this widely prevalent tool, organizations and individuals can share and store knowledge like never before. Cloud Technology: Concepts, Methodologies, Tools, and Applications investigates the latest research in the ubiquitous Web, exploring the use of applications and software that make use of the Internets anytime, anywhere availability. By bringing together research and ideas from across the globe, this publication will be of use to computer engineers, software developers, and end users in business, education, medicine, and more. |
| financial services cloud insurance data model: Business Resilience System (BRS): Driven Through Boolean, Fuzzy Logics and Cloud Computation Bahman Zohuri, Masoud Moghaddam, 2017-02-28 This book provides a technical approach to a Business Resilience System with its Risk Atom and Processing Data Point based on fuzzy logic and cloud computation in real time. Its purpose and objectives define a clear set of expectations for Organizations and Enterprises so their network system and supply chain are totally resilient and protected against cyber-attacks, manmade threats, and natural disasters. These enterprises include financial, organizational, homeland security, and supply chain operations with multi-point manufacturing across the world. Market shares and marketing advantages are expected to result from the implementation of the system. The collected information and defined objectives form the basis to monitor and analyze the data through cloud computation, and will guarantee the success of their survivability's against any unexpected threats. This book will be useful for advanced undergraduate and graduate students in the field of computer engineering, engineers that work for manufacturing companies, business analysts in retail and e-Commerce, and those working in the defense industry, Information Security, and Information Technology. |
| financial services cloud insurance data model: Data as a Service Pushpak Sarkar, 2015-08-24 Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns Comprehensive approach to introducing data as a service in any organization A reusable and flexible SOA based architecture framework Roadmap to introduce ‘big data as a service’ for potential clients Presents a thorough description of each component in the DaaS reference architecture so readers can implement solutions |
| financial services cloud insurance data model: Innovation in Financial Services Lech Gąsiorkiewicz, Jan Monkiewicz, 2020-10-29 This book delves into the many innovative changes that the financial industry has undergone in recent years. The authors investigate these developments in a holistic manner and from a wide range of perspectives: both public and private, business and consumer, regulators and supervisors. Initially, they set the framework of their analysis by discussing innovation cycles in financial services. Thereafter, they tackle the issue of financial innovations and their consequences for financial stability. They then review the new approaches to financial consumers’ protection, which emerged in the aftermath of the global financial crisis. The authors underline the fact that this new approach is heavily influenced by the recent innovative drive in the financial industry. Next, they switch their attention to the public sector, examining the innovative processes in monetary policy and central banks, structural innovations in the supervisory models and systems, and they assess some specific supervisory challenges regarding blockchain and the application of mathematics in the supervisory capacity. Additionally, the book examines a range of issues related to the private sector, such as recent developments regarding risk transferring mechanisms on the financial market, artificial intelligence and natural language processing for regulatory filings, the development of process management in insurance companies and other innovative products on the market. Finally, Innovation in Financial Services discusses how the digital transformation of the financial system impacts the interaction between the public and private sectors. The book is intended for graduate and postgraduate level students, researchers, public sector officers, as well as financial sector practitioners. |
| financial services cloud insurance data model: The Digital Revolution in Banking, Insurance and Capital Markets Lech Gąsiorkiewicz, Jan Monkiewicz, 2023-02-22 The digital transformation of finance and banking enables traditional services to be delivered in a more effective and efficient way but, at the same time, presents crucial issues such as fast-growing new asset classes, new currencies, datafication and data privacy, algorithmization of law and regulation and, last but not least, new models of financial crime. This book approaches the evolution of digital finance from a business perspective and in a holistic way, providing cutting-edge knowledge of how the digital financial system works in its three main domains: banking, insurance and capital markets. It offers a bird’s-eye view of the major issues and developments in these individual sectors. The book begins by examining the wider framework of the subsequent analysis and over the next three parts, discusses the opportunities, risks and challenges facing the digitalization of these individual financial subsectors, highlighting the similarities and differences in their digitalization agenda, as well as the existing linkages and dependencies among them. The book clarifies the strategic issues facing the development of digital finance in these major subsectors over the coming years. The book has three key messages: that digital transformation changes fundamentally the way financial businesses operate; that individual trades have their own digitalization agenda; and that the state with its regulatory power and central banking and money has a particularly important role to play. It will be of interest to scholars, students and researchers of finance andbanking, as well as policymakers wishing to understand the values and limitations of new forms of digital money. |
| financial services cloud insurance data model: Entrepreneurial Finance, Innovation and Development Vi Dung Ngo, Duc Khuong Nguyen, Ngoc Thang Nguyen, 2021-11-29 Entrepreneurship is now unanimously considered a major engine for socio-economic development, mainly because it creates jobs and innovation. Governments around the world pay special attention to removing entrepreneurial barriers in order to support development via different policies, especially entrepreneurial finance. Developing, emerging and transition economies (DETEs) significantly differ from industrialized countries because of their specific conditions: institutions, infrastructure facilities, and bureaucratic procedures within the administrative system. Thus, firms and their entrepreneurs in and from DETEs may behave differently, particularly in terms of their financial strategies. Therefore, contextualizing is critical to better understand the relationship between entrepreneurial finance, innovation, and development in DETEs. This book provides a systematic and profound understanding of how finance, entrepreneurship, innovation, and their interactions contribute to economic development in DETEs, which cover a large number of countries in Asia, Central and Eastern Europe, Latin America, and Africa. The book mainly includes empirical studies and is divided into four parts. Part A includes four chapters which adopt a multinational approach to examine different sources and types of finance for entrepreneurship and small business in different groups of countries classified as DETEs. Part B also includes four chapters and focuses on entrepreneurial finance in specific countries belonging to the DETEs. Part C goes beyond the business scope of entrepreneurial finance and includes three chapters concerned with the relationship between finance, women's entrepreneurship, and poverty. Part D includes three chapters focusing on the comparison within developing countries as well as between developing and developed countries. This essential and comprehensive resource will find an audience amongst academics, students, educators, and practitioners, as well as policymakers and regulators. |
| financial services cloud insurance data model: Fintech Explained Michael R. King, 2023-10-02 Fintech Explained provides a rigorous, accessible introduction to the landscape of fintech. Michael R. King explains the customer focus, innovation strategy, business model, and valuation of leading fintechs in cryptocurrencies and decentralized finance (DeFi), crowdfunding and online lending, robo-advice and digital wealth management, payments and insurtech, digital banking, and bigtech. The book profiles the successes and failures of over thirty high-profile fintechs, combining insights from founders, early-stage investors, financial incumbents, and other stakeholders in this dynamic ecosystem. Combining clear descriptions and case studies with the latest findings from academic research, Fintech Explained provides a complete course for educating undergraduate and graduate students, executives, and interested professionals. |
| financial services cloud insurance data model: Digital Insurance Bernardo Nicoletti, 2016-01-26 This book explores the ways in which the adoption of new paradigms, processes, and technologies can lead to greater revenue, cost efficiency and control, as well as improved business agility in the insurance industry. |
| financial services cloud insurance data model: Information Technology Control and Audit, Fourth Edition Sandra Senft, Frederick Gallegos, Aleksandra Davis, 2012-07-18 The new edition of a bestseller, Information Technology Control and Audit, Fourth Edition provides a comprehensive and up-to-date overview of IT governance, controls, auditing applications, systems development, and operations. Aligned to and supporting the Control Objectives for Information and Related Technology (COBIT), it examines emerging trends and defines recent advances in technology that impact IT controls and audits—including cloud computing, web-based applications, and server virtualization. Filled with exercises, review questions, section summaries, and references for further reading, this updated and revised edition promotes the mastery of the concepts and practical implementation of controls needed to manage information technology resources effectively well into the future. Illustrating the complete IT audit process, the text: Considers the legal environment and its impact on the IT field—including IT crime issues and protection against fraud Explains how to determine risk management objectives Covers IT project management and describes the auditor’s role in the process Examines advanced topics such as virtual infrastructure security, enterprise resource planning, web application risks and controls, and cloud and mobile computing security Includes review questions, multiple-choice questions with answers, exercises, and resources for further reading in each chapter This resource-rich text includes appendices with IT audit cases, professional standards, sample audit programs, bibliography of selected publications for IT auditors, and a glossary. It also considers IT auditor career development and planning and explains how to establish a career development plan. Mapping the requirements for information systems auditor certification, this text is an ideal resource for those preparing for the Certified Information Systems Auditor (CISA) and Certified in the Governance of Enterprise IT (CGEIT) exams. Instructor's guide and PowerPoint® slides available upon qualified course adoption. |
| financial services cloud insurance data model: Predictive Analytics For Dummies Anasse Bari, Mohamed Chaouchi, Tommy Jung, 2014-03-06 Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions. Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more. Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies. |
| financial services cloud insurance data model: The Application of Emerging Technology and Blockchain in the Insurance Industry Kiran Sood, Simon Grima, Ganga Sharma, Balamurugan Balusamy, 2024-02-20 This book is a unique guide to the disruptions, innovations, and opportunities that technology provides the insurance sector and acts as an academic/industry-specific guide for creating operational effectiveness, managing risk, improving financials, and retaining customers. It also contains the current philosophy and actionable strategies from a wide range of contributors who are experts on the topic. It logically explains why traditional ways of doing business will soon become irrelevant and therefore provides an alternative choice by embracing technology. Practitioners and students alike will find value in the support for understanding practical implications of how technology has brought innovation and modern methods to measure, control, and evaluation price risk in the insurance business. It will help insurers reduce operational costs, strengthen customer interactions, target potential customers to provide usage-based insurance, and optimize the overall business. Retailers and industry giants have made significant strides in adopting digital platforms to deliver a satisfying customer experience. Insurance companies must adjust their business models and strategies to remain competitive and take advantage of technology. Insurance companies are increasingly investing in IT and related technologies to improve customer experience and reduce operational costs. Innovation through new technologies is a key driver of change in the financial sector which is often accompanied by uncertainty and doubt. This book will play a pivotal role in risk management through fraud detection, regulatory compliances, and claim settlement leading to overall satisfaction of customers. |
| financial services cloud insurance data model: Proceedings of the XVI International symposium Symorg 2018 Nevenka Žarkić-Joksimović, Sanja Marinković, 2018-06-12 |
| financial services cloud insurance data model: Big Data Applications in Industry 4.0 P. Kaliraj, T. Devi, 2022-02-10 Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making |
| financial services cloud insurance data model: m-Health Robert S. H. Istepanian, Bryan Woodward, 2016-10-14 Addresses recent advances from both the clinical and technological perspectives to provide a comprehensive presentation of m-Health This book introduces the concept of m-Health, first coined by Robert S. H. Istepanian in 2003. The evolution of m-Health since then—how it was transformed from an academic concept to a global healthcare technology phenomenon—is discussed. Afterwards the authors describe in detail the basics of the three enabling scientific technological elements of m-Health (sensors, computing, and communications), and how each of these key ingredients has evolved and matured over the last decade. The book concludes with detailed discussion of the future of m-Health and presents future directions to potentially shape and transform healthcare services in the coming decades. In addition, this book: Discusses the rapid evolution of m-Health in parallel with the maturing process of its enabling technologies, from bio-wearable sensors to the wireless and mobile communication technologies from IOT to 5G systems and beyond Includes clinical examples and current studies, particularly in acute and chronic disease management, to illustrate some of the relevant medical aspects and clinical applications of m-Health Describes current m-Health ecosystems and business models Covers successful applications and deployment examples of m-Health in various global health settings, particularly in developing countries |
| financial services cloud insurance data model: Ai & Quantum Computing For Finance & Insurance: Fortunes And Challenges For China And America Paul Schulte, David Kuo Chuen Lee, 2019-04-16 This book offers a framework and analysis for the current technological landscape between the United States and China across the financial and insurance sectors as well as emerging technologies such as AI, Blockchain, Cloud and Data Analytics and Quantum Computing (ABCDQ). Based on original lecture slides used by the authors, the book presents contemporary and critical views of emergent technologies for a wide spectrum of readers from CEOs to university lecturers to students. The narrative aims to help readers upgrade their technology literacy and to overcome the fear of AI posed by our lizard brain. |
| financial services cloud insurance data model: Cloud Computing in Financial Services B. Nicoletti, 2013-02-27 Financial institutions must become more innovative in the conduct of their business. Cloud computing helps to achieve several objectives: innovative services, re-engineered processes, business agility and value optimization. Research, consultancy practice and case studies in this book consider the opportunities and risks with vendor relationships. |
| financial services cloud insurance data model: Smart Computing and Communication Meikang Qiu, 2017-01-11 This book constitutes the proceedings of the First International Conference on Smart Computing and Communication, SmartCom 2016, held in Shenzhen, China, in December 2016. The 59 papers presented in this volume were carefully reviewed and selected from 210 submissions. The conference focuses on both smart computing and communications fields and aims to collect recent academic work to improve the research and practical applications. |
| financial services cloud insurance data model: Systemic Risk Malcolm H.D. Kemp, 2017-08-11 Systemic Risk provides readers with a wide-ranging practical guide to systemic risk in the financial system. It challenges the notion that systemic risk is exclusively about interconnectivities within the financial system, showing that past systemic risk crises have often involved a broader range of vulnerabilities. It describes how regulators and governments are seeking to manage systemic risk, and how their concerns are driving change in regulatory and business environments across the financial sector. It sets out how firms and practitioners can effectively respond to these changes (covering topics such as data needs, quantification of risk exposures, management disciplines and skillset requirements etc.). It highlights the sources and characteristics of systemic risk and the concentrations of exposures to this risk. It also links systemic risk with other risk disciplines including exploring how systemic risk ties in with liquidity risk and credit risk and how it interacts with central clearing, collateralisation and pricing of derivatives. |
| financial services cloud insurance data model: Security, Trust, and Regulatory Aspects of Cloud Computing in Business Environments Srinivasan, S., 2014-03-31 Emerging as an effective alternative to organization-based information systems, cloud computing has been adopted by many businesses around the world. Despite the increased popularity, there remain concerns about the security of data in the cloud since users have become accustomed to having control over their hardware and software. Security, Trust, and Regulatory Aspects of Cloud Computing in Business Environments compiles the research and views of cloud computing from various individuals around the world. Detailing cloud security, regulatory and industry compliance, and trust building in the cloud, this book is an essential reference source for practitioners, professionals, and researchers worldwide, as well as business managers interested in an assembled collection of solutions provided by a variety of cloud users. |
| financial services cloud insurance data model: Springer Handbook of Automation Shimon Y. Nof, 2023-06-16 This handbook incorporates new developments in automation. It also presents a widespread and well-structured conglomeration of new emerging application areas, such as medical systems and health, transportation, security and maintenance, service, construction and retail as well as production or logistics. The handbook is not only an ideal resource for automation experts but also for people new to this expanding field. |
| financial services cloud insurance data model: In Pursuit of Presence or Prominence? Shenglin Ben, Jiefang Yu, Yue Gu, Jiamin Lv, Lijun Zhang, Huichao Gong, Hanting Gu, Qi Shuai, 2018-03-17 This book summarizes Chinese banks’ achievements in global markets and examines the differences between Chinese and foreign banks. It also explores the future roadmap of internationalization and the risks involved in the process, in order to provide reference resource for Chinese banks. Based on the CBII (Chinese Bank Internationalization Index), which was first released in 2015, the book introduces the Banks’ Internationalization Index (“BII”) and expands the BII by examining two groups of data, including the number of overseas branches, overseas assets and revenue. In addition it analyzes representative Chinese banks’ internationalization, using 16 of the Global Systemically Important Banks (G-SIBs) as benchmarks. |
| financial services cloud insurance data model: Fintech and the Future of Finance Erik Feyen, Harish Natarajan, Matthew Saal, 2023-04-03 Fintech—the application of digital technology to financial services—is reshaping the future of finance. Digital technologies are revolutionizing payments, lending, investment, insurance, and other financial products and services—and the COVID-19 pandemic has accelerated this process. Digitalization of financial services and money is helping to bridge gaps in access to financial services for households and firms and is promoting economic development. Improved access to basic financial services translates into better firm productivity and growth for micro and small businesses, as well as higher incomes and resilience to improve the lives of the poor. Technology can lower transaction costs by overcoming geographical access barriers; increasing the speed, security, and transparency of transactions; and allowing for more tailored financial services that better serve consumers, including the poor. Women can especially benefit. Yet too many people and firms still lack access to essential financial services that could help them thrive. It is time for policy makers to embrace fintech opportunities and implement policies that enable and encourage safe financial innovation and adoption. Fintech and the Future of Finance: Market and Policy Implications explores the implications of fintech and the digital transformation of financial services for market outcomes, on the one hand, and regulation and supervision, on the other hand—and how these interact. The report, which provides a high-level perspective for senior policy makers, is accompanied by notes that focus on salient issues for a more technical audience. As the financial sector continues to transform itself, policy trade-offs will evolve, and regulators will need to ensure that market outcomes remain aligned with core policy objectives. Several policy implications emerge. 1. Manage risks, while fostering beneficial innovation and competition. 2. Broaden monitoring horizons and reassess regulatory perimeters. 3. Review regulatory, supervisory, and oversight frameworks. 4. Be mindful of evolving policy trade-offs as fintech adoption deepens. 5. Monitor market structure and conduct to maintain competition. 6. Modernize and open financial infrastructures. 7. Ensure public money remains fit for the digital world. 8. Pursue strong cross-border coordination and sharing of information and best practices. |
| financial services cloud insurance data model: Introduction to Information Systems R. Kelly Rainer, Brad Prince, 2022 Introduction to Information Systems, 9th Edition delivers an essential resource for undergraduate business majors seeking ways to harness information technology systems to succeed in their current or future jobs. The book assists readers in developing a foundational understanding of information systems and technology and apply it to common business problems. This International Adaptation covers applications of the latest technologies with the addition of new cases from Europe, Middle East, Africa, Australia, and Asia-Pacific countries. It focuses on global business environment for students to understand the norms of using technology while operating on online platforms for exploring new avenues in different geographical locations. The book includes real business scenarios of how latest technologies such as Big Data, Cloud Computing, Blockchain, and IoT are perceived and adopted across countries. New cases highlight key technology issues faced by organizations such as designing and implementing IT security policies, dealing with ethical dilemma of securing customer data, moving IT infrastructure to cloud, and identifying how AI can be used to improve the efficiency of business operations. |
| financial services cloud insurance data model: Managing Customer-Centric Strategies in the Digital Landscape Ho, Ree Chan, Song, Bee Lian, Tee, Poh Kiong, 2024-10-25 In todays rapidly evolving digital landscape, the integration of emerging technologies has reshaped the business world and propelled companies to keep pace with advancements like artificial intelligence, data science, blockchain, and reality virtualization. These technologies are no longer just tools for efficiency but are crucial drivers of customer-centric strategies that enhance productivity and service. As businesses strive to maximize the value of their technology investments, they must integrate these innovations into their entire business ecosystem to meet the needs of socially connected, tech-savvy customers. Leveraging Emerging Technologies for Customer-Centric Business Strategies explores the crucial intersection of technological innovation and customer-centricity in the digital age. These chapters delve into how companies can effectively implement new technologies such as AI, machine learning, and big data analytics, to better serve customer demands and foster stronger engagement. By examining current business models, predicting future trends, and analyzing the role of customer involvement in co-creation, this comprehensive resource provides researchers, business practitioners, and academics with the strategies needed to navigate the fast-paced, technology-driven marketplace. |
| financial services cloud insurance data model: The Digital Journey of Banking and Insurance, Volume I Volker Liermann, Claus Stegmann, 2021-10-30 This book, one of three volumes, showcases the effective transformation of companies providing banking and insurance services. This first volume gives a business-oriented introduction to the setting and the current challenges of fintech, regtech, and insurtech and provides an outlook on what will be needed in the future. Specific sub-departments in financial services are examined with a view to accounting, risk, and regulatory segments. The book also addresses the importance of cultural aspects of the coming digital transformation with an eye to requirements that will enable a digital bank or insurance company to thrive in 2025. The angle shifts over the volumes from a business-driven approach in “Disruption and DNA” to a strong technical focus in “Data Storage, Processing and Analysis”, leaving “Digitalization and Machine Learning Applications” with the business and technical aspects in-between. |
| financial services cloud insurance data model: The Cloud Computing Journey Divit Gupta, 2024-01-05 Elevate your expertise and gain holistic insights into cloud technology with a focus on smoothly transitioning from on-premises to the cloud Key Features Analyze cloud architecture in depth, including different layers, components, and design principles Explore various types of cloud services from AWS, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure, and more Implement best practices and understand the use of various cloud deployment tools Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs the need for digital transformation and remote work surges, so does the demand for cloud computing. However, the complexity of cloud architecture and the abundance of vendors and tools can be overwhelming for businesses. This book addresses the need for skilled professionals capable of designing, building, and managing scalable and resilient cloud systems to navigate the complex landscape of cloud computing through practical tips and strategies. This comprehensive cloud computing guide offers the expertise and best practices for evaluating different cloud vendors and tools. The first part will help you gain a thorough understanding of cloud computing basics before delving deeper into cloud architecture, its design, and implementation. Armed with this expert insight, you'll be able to avoid costly mistakes, ensure that your cloud systems are secure and compliant, and build cloud systems that can adapt and grow with the business. By the end of this book, you’ll be proficient in leveraging different vendors and tools to build robust and secure cloud systems to achieve specific goals and meet business requirements.What you will learn Get to grips with the core concepts of cloud architecture and cost optimization Understand the different cloud deployment and service models Explore various cloud-related tools and technologies Discover cloud migration strategies and best practices Find out who the major cloud vendors are and what they offer Analyze the impact and future of cloud technology Who this book is for The book is for anyone interested in understanding cloud technology, including business leaders and IT professionals seeking insights into the benefits, challenges, and best practices of cloud computing. Those who are just starting to explore cloud technology, as well as those who are already using cloud technology and want to deepen their understanding to optimize usage, will find this resource especially useful. |
| financial services cloud insurance data model: The Emerald Handbook of Fintech H. Kent Baker, Greg Filbeck, Keith Black, 2024-10-04 The Emerald Handbook of Fintech offers a detailed, user-friendly examination of the technologies and products reshaping the financial technology industry from leading global scholars and practitioners. |
| financial services cloud insurance data model: Mobile Cloud Computing Meikang Qiu, Keke Gai, 2017-05-12 Mobile Cloud Computing: Models, Implementation, and Security provides a comprehensive introduction to mobile cloud computing, including key concepts, models, and relevant applications. The book focuses on novel and advanced algorithms, as well as mobile app development. The book begins with an overview of mobile cloud computing concepts, models, and service deployments, as well as specific cloud service models. It continues with the basic mechanisms and principles of mobile computing, as well as virtualization techniques. The book also introduces mobile cloud computing architecture, design, key techniques, and challenges. The second part of the book covers optimizations of data processing and storage in mobile clouds, including performance and green clouds. The crucial optimization algorithm in mobile cloud computing is also explored, along with big data and service computing. Security issues in mobile cloud computing are covered in-depth, including a brief introduction to security and privacy issues and threats, as well as privacy protection techniques in mobile systems. The last part of the book features the integration of service-oriented architecture with mobile cloud computing. It discusses web service specifications related to implementations of mobile cloud computing. The book not only presents critical concepts in mobile cloud systems, but also drives readers to deeper research, through open discussion questions. Practical case studies are also included. Suitable for graduate students and professionals, this book provides a detailed and timely overview of mobile cloud computing for a broad range of readers. |
| financial services cloud insurance data model: Financial Literacy for Generation Z Kenneth O. Doyle Ph.D., 2019-09-19 This indispensable resource explains principles of financial planning and financial psychology to help teens and young adults make good financial decisions now and achieve their financial goals. Financial literacy for savvy teens and young adults means meeting them where they are, which is in high school and college. It also means understanding how they differ from their Gen X and elder millennial parents. For example, they tend to be debt-averse, thrifty, and responsible but may err on the side of taking too little risk, such as not investing early enough. This book uses economics and psychology to help Generation Z students make better decisions throughout their lives and especially in their formative years. Financial Literacy for Generation Z addresses decisions students have to make while still in school, after graduation, and later, with the greatest emphasis on the decisions closest at hand to them. It encompasses not just money talk—for example, how much to contribute to your 401(k)—but also decisions that are directly connected to money, such as choosing a major and a career, building a credit record, and managing your first real income. |
| financial services cloud insurance data model: Handbook of Innovation & Appropriate Technologies for International Development Régnier, Philippe, Frey, Daniel, Pierre, Samuel, Varghese, Koshy, Wild, Pascal, 2022-10-20 This timely Handbook provides a conceptual discussion and an empirical review of new disruptive forms of innovation producing appropriate technologies, which address both the needs of low-income populations worldwide, and provides alternative solutions for sustainable development. |
| financial services cloud insurance data model: Principles of Big Graph: In-depth Insight , 2023-01-24 Principles of Big Graph: In-depth Insight, Volume 128 in the Advances in Computer series, highlights new advances in the field with this new volume presenting interesting chapters on a variety of topics, including CESDAM: Centered subgraph data matrix for large graph representation, Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications, An empirical investigation on Big Graph using deep learning, Analyzing correlation between quality and accuracy of graph clustering, geneBF: Filtering protein-coded gene graph data using bloom filter, Processing large graphs with an alternative representation, MapReduce based convolutional graph neural networks: A comprehensive review. Fast exact triangle counting in large graphs using SIMD acceleration, A comprehensive investigation on attack graphs, Qubit representation of a binary tree and its operations in quantum computation, Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph data, Big graph based online learning through social networks, Community detection in large-scale real-world networks, Power rank: An interactive web page ranking algorithm, GA based energy efficient modelling of a wireless sensor network, The major challenges of big graph and their solutions: A review, and An investigation on socio-cyber crime graph. Provides an update on the issues and challenges faced by current researchers Updates on future research agendas Includes advanced topics for intensive research for researchers |
| financial services cloud insurance data model: Intelligent Information and Database Systems Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawiński, 2019-04-02 The two-volume set LNAI 11431 and 11432 constitutes the refereed proceedings of the 11th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2019, held in Yogyakarta, Indonesia, in April 2019. The total of 124 full papers accepted for publication in these proceedings were carefully reviewed and selected from 309 submissions. The papers of the first volume are organized in the following topical sections: knowledge engineering and semantic web; text processing and information retrieval; machine learning and data mining; decision support and control systems; computer vision techniques; and databases and intelligent information systems. The papers of the second volume are divided into these topical sections: collective intelligence for service innovation, technology management, E-learning, and fuzzy intelligent systems; data structures modelling for knowledge representation; advanced data mining techniques and applications; intelligent information systems; intelligent methods and artificial intelligence for biomedical decision support systems; intelligent and contextual systems; intelligent systems and algorithms in information sciences; intelligent supply chains and e-commerce; sensor networks and Internet of Things; analysis of image, video, movements and brain intelligence in life sciences; and computer vision and intelligent systems. |
| financial services cloud insurance data model: ICIDC 2022 Zuriati Ahmad Zukarnain, Ming Jin, Ong Tze San, 2022-10-13 The 2022 International Conference on Information Economy, Data Modeling and Cloud Computing (ICIDC 2022) was successfully held in Qingdao, China from June 17 to 19, 2022. Under the impact of COVID-19, ICIDC 2022 was held adopting a combination of online and offline conference. During this conference, we were greatly honored to have Prof Datuk Dr Hj Kasim Hj Md Mansur from Universiti Malaysia Sabah, Malaysia to serve as our Conference Chairman. And there were 260 individuals attending the conference. The conference agenda was composed of keynote speeches, oral presentations, and online Q&A discussion. The proceedings of ICIDC 2022 cover various topics, including Big Data Finance, E-Commerce and Digital Business, Modeling Method, 3D Modeling, Internet of Things, Cloud Computing Platform, etc. All the papers have been checked through rigorous review and processes to meet the requirements of publication. Data modeling allows us to obtain the dynamic change trend of various indicator data, so how to use big data information to model and study the development trend of economic operation plan is of great significance. And that is exactly the purpose of this conference, focusing on the application of big data in the economic field as well as conducting more profound research in combination with cloud computing. |
| financial services cloud insurance data model: Cloud Computing Service and Deployment Models: Layers and Management Bento, Al, 2012-10-31 This book presents a collection of diverse perspectives on cloud computing and its vital role in all components of organizations, improving the understanding of cloud computing and tackling related concerns such as change management, security, processing approaches, and much more--Provided by publisher. |
| financial services cloud insurance data model: Mastering Cloud Security Posture Management (CSPM) Qamar Nomani, 2024-01-31 Strengthen your security posture in all aspects of CSPM technology, from security infrastructure design to implementation strategies, automation, and remedial actions using operational best practices across your cloud environment Key Features Choose the right CSPM tool to rectify cloud security misconfigurations based on organizational requirements Optimize your security posture with expert techniques for in-depth cloud security insights Improve your security compliance score by adopting a secure-by-design approach and implementing security automation Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis book will help you secure your cloud infrastructure confidently with cloud security posture management (CSPM) through expert guidance that’ll enable you to implement CSPM effectively, ensuring an optimal security posture across multi-cloud infrastructures. The book begins by unraveling the fundamentals of cloud security, debunking myths about the shared responsibility model, and introducing key concepts such as defense-in-depth, the Zero Trust model, and compliance. Next, you’ll explore CSPM's core components, tools, selection criteria, deployment strategies, and environment settings, which will be followed by chapters on onboarding cloud accounts, dashboard customization, cloud assets inventory, configuration risks, and cyber threat hunting. As you progress, you’ll get to grips with operational practices, vulnerability and patch management, compliance benchmarks, and security alerts. You’ll also gain insights into cloud workload protection platforms (CWPPs). The concluding chapters focus on Infrastructure as Code (IaC) scanning, DevSecOps, and workflow automation, providing a thorough understanding of securing multi-cloud environments. By the end of this book, you’ll have honed the skills to make informed decisions and contribute effectively at every level, from strategic planning to day-to-day operations.What you will learn Find out how to deploy and onboard cloud accounts using CSPM tools Understand security posture aspects such as the dashboard, asset inventory, and risks Explore the Kusto Query Language (KQL) and write threat hunting queries Explore security recommendations and operational best practices Get to grips with vulnerability, patch, and compliance management, and governance Familiarize yourself with security alerts, monitoring, and workload protection best practices Manage IaC scan policies and learn how to handle exceptions Who this book is for If you’re a cloud security administrator, security engineer, or DevSecOps engineer, you’ll find this book useful every step of the way—from proof of concept to the secured, automated implementation of CSPM with proper auto-remediation configuration. This book will also help cybersecurity managers, security leads, and cloud security architects looking to explore the decision matrix and key requirements for choosing the right product. Cloud security enthusiasts who want to enhance their knowledge to bolster the security posture of multi-cloud infrastructure will also benefit from this book. |
| financial services cloud insurance data model: Encyclopedia of Cloud Computing San Murugesan, Irena Bojanova, 2016-08-01 The Encyclopedia of Cloud Computing provides IT professionals, educators, researchers and students with a compendium of cloud computing knowledge. Authored by a spectrum of subject matter experts in industry and academia, this unique publication, in a single volume, covers a wide range of cloud computing topics, including technological trends and developments, research opportunities, best practices, standards, and cloud adoption. Providing multiple perspectives, it also addresses questions that stakeholders might have in the context of development, operation, management, and use of clouds. Furthermore, it examines cloud computing's impact now and in the future. The encyclopedia presents 56 chapters logically organized into 10 sections. Each chapter covers a major topic/area with cross-references to other chapters and contains tables, illustrations, side-bars as appropriate. Furthermore, each chapter presents its summary at the beginning and backend material, references and additional resources for further information. |
| financial services cloud insurance data model: Insurance 4.0 Bernardo Nicoletti, 2020-10-31 Industry 4.0 has spread globally since its inception in 2011, now encompassing many sectors, including its diffusion in the field of financial services. By combining information technology and automation, it is now canvassing the insurance sector, which is in dire need of digital transformation. This book presents a business model of Insurance 4.0 by detailing its implementation in processes, platforms, persons, and partnerships of the insurance companies alongside looking at future developments. Filled with business cases in insurance companies and financial services, this book will be of interest to those academics and researchers of insurance, financial technology, and digital transformation, alongside executives and managers of insurance companies. |
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