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| edge computing in financial services: Artificial Intelligence for Cloud and Edge Computing Sanjay Misra, Amit Kumar Tyagi, Vincenzo Piuri, Lalit Garg, 2022-01-13 This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals. |
| edge computing in financial services: Edge Computing Ajit Singh , 2024-04-15 This book features Edge Computing with respect to Mobile, IoT and IIoT technologies from evolution, architecture, implementation and standard role of IoT. All aspects have been covered with in-depth real-life and practical use cases from industry. This book covers the curriculum of the Edge Computing course at prominent global Universities / Institutions. |
| edge computing in financial services: Artificial Intelligence and Machine Learning for EDGE Computing Rajiv Pandey, Sunil Kumar Khatri, Neeraj Kumar Singh, Parul Verma, 2022-04-26 Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. - Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing - Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers - Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints |
| edge computing in financial services: Edge Computing with Amazon Web Services Sean Howard, 2024-02-29 Build scalable, cost-effective, high-performance, and secure architectures using AWS Outposts, AWS Local Zones, AWS Wavelength, and AWS Snow services guided by best practices and practical examples Key Features Take advantage of the opportunities and challenges arising from the exponential growth of connected devices Use AWS edge compute services to extend your applications to wherever they are needed Follow guided tutorials for building an IIoT gateway and a distributed edge application with AWS services Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe surge in connected edge devices has driven organizations to capitalize on the opportunities presented by the massive amounts of data generated by these devices. However, adapting to this landscape demands significant changes in application architectures. This book serves as your guide to edge computing fundamentals, shedding light on the constraints and risks inherent in selecting solutions within this domain. You’ll explore an extensive suite of edge computing services from AWS, gaining insights into when and how to use AWS Outposts, AWS Wavelength, AWS Local Zones, AWS Snow Family, and AWS IoT Greengrass. With detailed use cases, technical requirements, and architectural patterns, you’ll master the practical implementation of these services and see how they work in real life through step-by-step examples, using the AWS CLI and AWS Management Console. To conclude, you’ll delve into essential security and operational considerations to maximize the value delivered by AWS services. By the end of this book, you'll be ready to design powerful edge computing architectures and handle complex edge computing use cases across multiple AWS services.What you will learn Overcome network challenges faced at the near and far edge Leverage services in over 450 points of presence at the edge of the AWS global backbone Deploy edge solutions in disconnected scenarios using AWS Snow Family Build multi-access edge (MEC) solutions with 5G and AWS Wavelength Reduce latency for your users with AWS Local Zones Configure AWS Snowcone as an IIoT gateway with AWS IoT Greengrass Extend your AWS VPC into your on-premise data center with AWS Outposts Deploy distributed applications for core, near, and far edge cloud services Who this book is for This book is designed for cloud architects, cloud engineers, solutions architects, and IoT architects tasked with building edge compute solutions using AWS. If you want to master the full range of edge computing services offered by AWS, this book is for you. A basic understanding of AWS services and networking is assumed. |
| edge computing in financial services: 5G and Next-Gen Consumer Banking Services Krunoslav Ris, PhD, 2021-12-22 The future has already begin. The banking industry needs to adjust, or it will disappear in the next decade. With the help of 5G, next-generation intelligent ATM-like devices will have highly integrated functions and use technologies such as artificial intelligences-assisted self-service contactless interfaces with facial recognition and digital signatures. This book focuses on new experiences that clients can expect when connected to a 5G network with a 5G device. By 2022 we hope that 5G will: Drive accelerated mBanking growth Power augmented reality /virtual reality Make Video shopping experiences more widespread and compelling Enable banks to deploy highly personalized customer service experiences Support time-sensitive banking applications, like online stock trading where milliseconds can determine a gain or loss Improve security and fraud prevention bycomputing and exchanging more data traveling between parties in real-time Enhance mPOS transactions and utilization. 5G holds the potential to accelerate mobile point of sale (MPOS) transaction processing time and improve connectivity In order to explore these topics, this book covers: • Decentralization of the banks • Banking without banks • 5G will change the modern banking industry • Blockchain adoption by the banking industry |
| edge computing in financial services: The Balancing Problem in the Governance of Artificial Intelligence Tshilidzi Marwala, |
| edge computing in financial services: Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance El Bachir Boukherouaa, Mr. Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S Iskender, Mr. Alin T Mirestean, Rangachary Ravikumar, 2021-10-22 This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight. |
| edge computing in financial services: Security and Risk Analysis for Intelligent Edge Computing Gautam Srivastava, Uttam Ghosh, Jerry Chun-Wei Lin, 2023-06-24 This book offers the latest research results in security and privacy for Intelligent Edge Computing Systems. It presents state-of-the art content and provides an in-depth overview of the basic background in this related field. Practical areas in both security and risk analysis are addressed as well as connections directly linked to Edge Computing paradigms. This book also offers an excellent foundation on the fundamental concepts and principles of security, privacy and risk analysis in Edge Computation infrastructures. It guides the reader through the core ideas with relevant ease. Edge Computing has burst onto the computational scene offering key technologies for allowing more flexibility at the edge of networks. As Edge Computing has evolved as well as the need for more in-depth solutions in security, privacy and risk analysis at the edge. This book includes various case studies and applications on Edge Computing. It includes the Internet of Things related areas, such as smart cities, blockchain, mobile networks, federated learning, cryptography and cybersecurity. This book is one of the first reference books covering security and risk analysis in Edge Computing Systems. Researchers and advanced-level students studying or working in Edge Computing and related security fields will find this book useful as a reference. Decision makers, managers and professionals working within these fields will want to purchase this book as well. |
| edge computing in financial services: Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology Sri Niwas Singh, Saurov Mahanta, Yumnam Jayanta Singh, 2023-06-26 The book presents selected papers from NIELIT's International Conference on Communication, Electronics and Digital Technology (NICE-DT 2023) held during February 10–11, 2023, in New Delhi, India. The book covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cyber security and forensic, network and mobile security, advance computing, cloud computing, quantum computing, VLSI and semiconductors, electronics system, Internet of Things, robotics and automations, blockchain and software technology, digital technologies for future, assistive technology for divyangjan (people with disabilities) and Strategy for Digital Skilling for building a global Future Ready workforce. |
| edge computing in financial services: Edge Computing – EDGE 2021 Liang-Jie Zhang, 2022-03-02 This book constitutes the proceedings of the International Conference on Edge Computing, EDGE 2021, held virtually as part of SCF 2021, held as a Virtual Event, December 10–14, 2021. The 5 full and 2 short papers presented in this volume were carefully reviewed and selected from 18 submissions. The conference proceeding EDGE 2021 presents the latest fundamental advances in the state of the art and practice of edge computing, identify emerging research topics, and define the future of edge computing. |
| edge computing in financial services: Understanding Infrastructure Edge Computing Alex Marcham, 2021-04-27 UNDERSTANDING INFRASTRUCTURE EDGE COMPUTING A comprehensive review of the key emerging technologies that will directly impact areas of computer technology over the next five years Infrastructure edge computing is the model of data center and network infrastructure deployment which distributes a large number of physically small data centers around an area to deliver better performance and to enable new economical applications. It is vital for those operating at business or technical levels to be positioned to capitalize on the changes that will occur as a result of infrastructure edge computing. This book provides a thorough understanding of the growth of internet infrastructure from its inception to the emergence of infrastructure edge computing. Author Alex Marcham, an acknowledged leader in the field who coined the term ‘infrastructure edge computing,’ presents an accessible, accurate, and expansive view of the next generation of internet infrastructure. The book features illustrative examples of 5G mobile cellular networks, city-scale AI systems, self-driving cars, drones, industrial robots, and more—technologies that increase efficiency, save time and money, and improve safety. Covering state-of-the-art topics, this timely and authoritative book: Presents a clear and accurate survey of the key emerging technologies that will impact data centers, 5G networks, artificial intelligence and cyber-physical systems, and other areas of computer technology Explores how and why Internet infrastructure has evolved to where it stands today and where it needs to be in the near future Covers a wide range of topics including distributed application workload operation, infrastructure and application security, and related technologies such as multi-access edge computing (MEC) and fog computing Provides numerous use cases and examples of real-world applications which depend upon underlying edge infrastructure Written for Information Technology practitioners, computer technology practitioners, and students, Understanding Infrastructure Edge Computing is essential reading for those looking to benefit from the coming changes in computer technology. |
| edge computing in financial services: Applied Edge AI Pethuru Raj, G. Nagarajan, R.I. Minu, 2022-04-05 The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, individuals, and innovators are all set to embrace and experience the sophisticated capabilities of Edge AI. With the faster maturity and stability of Edge AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Further on, business workloads and IT services will become competent and cognitive with state-of-the-art Edge AI infrastructure modules, AI algorithms and models, enabling frameworks, integrated platforms, accelerators, high-performance processors, etc. The Edge AI paradigm will help enterprises evolve into real-time and intelligent digital organizations. Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies; the products, processes, platforms, patterns, and practices; and use cases. AI-enabled chips are exclusively used in edge devices to accelerate intelligent processing at the edge. This book examines AI toolkits and platforms for facilitating edge intelligence. It also covers chips, algorithms, and tools to implement Edge AI, as well as use cases. FEATURES The opportunities and benefits of intelligent edge computing Edge architecture and infrastructure AI-enhanced analytics in an edge environment Encryption for securing information An Edge AI system programmed with Tiny Machine learning algorithms for decision making An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge Ambient intelligence in healthcare services and in development of consumer electronic systems Smart manufacturing of unmanned aerial vehicles (UAVs) AI, edge computing, and blockchain in systems for environmental protection Case studies presenting the potential of leveraging AI in 5G wireless communication |
| edge computing in financial services: Edge Computing – EDGE 2023 Jun Feng, Frank Jiang, Min Luo, Liang-Jie Zhang, 2024-01-17 This book constitutes the refereed proceedings of the 7th International Conference on Edge Computing, EDGE 2023, held in Shenzhen, China, during December 17–18, 2023. The 8 full papers in this book were carefully reviewed and selected from 14 submissions. They were organized in topical sections as follows: Practice of Edge Computing, identify emerging research topics, and define the future of Edge Computing. |
| edge computing in financial services: Edge Computing K. Anitha Kumari, G. Sudha Sadasivam, D. Dharani, M. Niranjanamurthy, 2021-12-22 This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate readers to setup edge-based environment and work with edge analytics. It covers important topics, including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: Discusses edge data storage security with case studies and blockchain integration with the edge computing system Covers theoretical methods with the help of applications, use cases, case studies, and examples Provides healthcare real-time case studies elaborated by utilizing the virtues of homomorphic encryption Discusses real-time interfaces, devices, and simulators in detail |
| edge computing in financial services: I-Byte Financial Services August 2021 IT Shades, 2021-08-06 This document brings together a set of latest data points and publicly available information relevant for Financial Services Industry. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely. |
| edge computing in financial services: The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases , 2020-01-28 The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, Volume 117, the latest volume in the Advances in Computers series, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters vividly illustrate how the emerging discipline of digital twin is strategically contributing to various digital transformation initiatives. Specific chapters cover Demystifying the Digital Twin Paradigm, Digital Twin Technology for Smarter Manufacturing, The Fog Computing/ Edge Computing to leverage Digital Twin, The industry use cases for the Digital Twin idea, Enabling Digital Twin at the Edge, The Industrial Internet of Things (IIOT), and much more. |
| edge computing in financial services: Supply Chain Finance Xuefeng Sun, 2022-09-12 This book focuses on how supply chain finance serves and improves industrial supply chain and financial activities of SMEs in China from innovative perspective. How does supply chain finance empower SMEs? What is the basis for granting credit to SMEs? What kind of supply chain finance model can most effectively support SMEs? To address the above questions, this book adopts positivism, uses an inductive method and carries out case studies through qualitative analysis. At the end of book, the author concludes although many successful cases of supply chain finance could be found, it needs further testing and revision in practice for more enterprises due to its limits. |
| edge computing in financial services: Fintech Fundamentals Len Mei, 2022-06-27 This book examines the underlying digital technologies required to build the new digital economy. It discusses basic concepts and elements of the technologies that make a digital economy possible, such as cloud and edge computing, 5G telecommunication, blockchain, big data, and how financial technology affects both old and new industry. The book serves as a comprehensive introduction and background to anyone who is interested in the subject in order to do further research on the individual subjects included here. FEATURES: Discusses basic concepts and elements of the technologies that make a digital economy possible, such as cloud and edge computing, 5G telecommunication, blockchain, big data, and AI Covers financial service industries and effects of financial technology on industry |
| edge computing in financial services: Cases on Edge Computing and Analytics Ambika, Paranthaman, Donald, A. Cecil, Kumar, A. Dalvin Vinoth, 2021-01-08 Edge computing and analytics are fascinating the whole world of computing. Industry and business are keenly embracing this sound concept to develop customer-centric solutions by enhancing their operations, offerings, and outputs. There is a bevy of advancements in this domain that came with the arrival of IoT devices. The seamless convergence of microservices and serverless computing creates vast opportunities. With the help of IoT devices and these other developments, there has become a deep interest in business automation and additional improvisations in edge computing. With the steady growth of edge devices and applications of IoT fog/edge computing and analytics, there are also distinct challenges and threats. Research has been keenly focused on identifying and understanding these issues and shortcomings to bring viable solution approaches and algorithms. Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices and computing. It addresses the key concerns of the edge computing paradigm, how they are processed, and the various technologies and tools empowering edge computing and analytics. While highlighting topics within edge computing such as the key drivers for implementation, computing capabilities, security considerations, and use-cases, this book is ideal for IT industry professionals and project managers, computer scientists, computer engineers, and practitioners, stakeholders, researchers, academicians, and students looking for research on the latest trends and transitions in edge computing. |
| edge computing in financial services: 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. |
| edge computing in financial services: Driving 5G Mobile Communications with Artificial Intelligence towards 6G Dragorad A. Milovanovic, Zoran S. Bojkovic, Tulsi Pawan Fowdur, 2023-04-06 - provides some fundamental concepts related to 5G networks and the 5G NR signal processing. A review of AI and state of the art machine learning techniques is also given. - deals with the 5G/6G and AI enabled applications such as AR/VR, autonomous vehicles, mobile multimedia services, context aware communications, Industrial IoT and security. -elaborates on how AI techniques can enhance network and traffic management in 5G/6G networks. These include AI based mobility management, routing, scheduling, network performance optimization and even energy efficiency. -discusses the application of AI to 5G/6G NR signal processing and also the air interface. AI and deep learning techniques for channel coding, automatic modulation detection, channel estimation and equalization as well as spectrum management are presented with a view to highlight the benefits of using AI as compared to traditional techniques. |
| edge computing in financial services: Predictive Analytics in Cloud, Fog, and Edge Computing Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli, 2022-12-16 This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing. The relationship will not be limited to only architecture proposal, trends, and technical advancements. However, the book also explores the possibility of predictive analytics in cloud computing with respect to Blockchain, IoT, and 5G. The recent advancements in the internet-supported distributed computing i.e. cloud computing, has made it possible to process the bulk amount of data in a parallel and distributed. This has made it a lucrative technology to process the data generated from technologies such as Blockchain, IoT, and 5G. However, there are several issues a Cloud Service Provider (CSP) encounters, such as Blockchain security in cloud, IoT elasticity and scalability management in cloud, Service Level Agreement (SLA) compliances for 5G, Resource management, Load balancing, and Fault-tolerance. This edited book will discuss the aforementioned issues in connection with Blockchain, IoT, and 5G. Moreover, the book discusses how the cloud computing is not sufficient and one needs to use fog computing, and edge computing to efficiently process the data generated from IoT, and 5G. Moreover, the book shows how smart city, smart healthcare system, and smart communities are few of the most relevant IoT applications where fog computing plays a significant role. The book discusses the limitation of fog computing and the need for the edge computing to further reduce the network latency to process streaming data from IoT devices. The book also explores power of predictive analytics of Blockchain, IoT, and 5G data in cloud computing with its sister technologies. Since, the amount of resources increases day-by day, artificial intelligence (AI) tools are becoming more popular due to their capability which can be used in solving wide variety of issues, such as minimize the energy consumption of physical servers, optimize the service cost, improve the quality of experience, increase the service availability, efficiently handle the huge data flow, manages the large number of IoT devices, etc. |
| edge computing in financial services: Research Anthology on Edge Computing Protocols, Applications, and Integration Management Association, Information Resources, 2022-04-01 Edge computing is quickly becoming an important technology throughout a number of fields as businesses and industries alike embrace the benefits it can have in their companies. The streamlining of data is crucial for the development and evolution of businesses in order to keep up with competition and improve functions overall. In order to appropriately utilize edge computing to its full potential, further study is required to examine the potential pitfalls and opportunities of this innovative technology. The Research Anthology on Edge Computing Protocols, Applications, and Integration establishes critical research on the current uses, innovations, and challenges of edge computing across disciplines. The text highlights the history of edge computing and how it has been adapted over time to improve industries. Covering a range of topics such as bandwidth, data centers, and security, this major reference work is ideal for industry professionals, computer scientists, engineers, practitioners, researchers, academicians, scholars, instructors, and students. |
| edge computing in financial services: The Financial Services Guide to Fintech Devie Mohan, 2020-01-03 Fintech has emerged as one of the fastest growing sectors in the financial services industry and has radically disrupted traditional banking. However, it has become clear that for both to thrive, the culture between fintech and incumbent firms must change from one of competition to collaboration. The Financial Services Guide to Fintech looks at this trend in detail, using case studies of successful partnerships to show how banks and fintech organizations can work together to innovate faster and increase profitability. Written by an experienced fintech advisor and influencer, this book explains the fundamental concepts of this exciting space and the key segments to have emerged, including regtech, robo-advisory, blockchain and personal finance management. It looks at the successes and failures of bank-fintech collaboration, focusing on technologies and start-ups that are highly relevant to banks' product and business areas such as cash management, compliance and tax. With international coverage of key markets, The Financial Services Guide to Fintech offers practical guidance, use cases and business models for banks and financial services firms to use when working with fintech companies. |
| edge computing in financial services: Convergence of Technology and Operations Management in Modern Businesses Martínez-Falcó, Javier, Sánchez-García, Eduardo, Marco-Lajara, Bartolomé, Visser, Gustav, 2024-11-01 In the modern business landscape, the intersection of technology and operations management is driving efficiency and innovation. As organizations continue to rely on advanced technologies, such as artificial intelligence, data analytics, and automation, they are transforming their operational strategies to enhance productivity, streamline processes, and deliver valuable products. Aligning technological advancements with operational goals allows companies to achieve a competitive edge, improve customer satisfaction, and unlock new growth opportunities. Businesses must continue to explore this convergence to adapt their operations successfully and invest in necessary skills to connect technology with business processes. Convergence of Technology and Operations Management in Modern Businesses explores the intersection of technology and operations management in the modern business environment. It covers technological advancements for revolutionized operations and supply chain management for increased efficiency and competitiveness. This book covers topics such as smart banking, blockchain, and human capital, and is a useful resource for financial professionals, bankers, business owners, data scientists, computer engineers, academicians, scientists, and researchers. |
| edge computing in financial services: Multi-access Edge Computing: Software Development at the Network Edge Dario Sabella, 2021-08-21 The textbook covers the main aspects of Edge Computing, from a thorough look at the technology to the standards and industry associations working in the field. The book is conceived as a textbook for graduate students but also functions as a working guide for developers, engineers, and researchers. The book aims not only at providing a comprehensive technology and standard reference overview for students, but also useful research insights and practical exercises for edge software developers and investigators in the area (and for students looking to apply their skills). A particular emphasis is given Multi-access Edge Computing (MEC) as defined in European Telecommunications Standards Institute (ETSI), in relationship with other standard organizations like 3GPP, thus in alignment with the recent industry efforts to produce harmonized standards for edge computing leveraging both ETSI ISG MEC and 3GPP specifications. Practical examples of Edge Computing implementation from industry groups, associations, companies and edge developers, complete the book and make it useful for students entering the field. The book includes exercises, examples, and quizzes throughout. |
| edge computing in financial services: Artificial Intelligence and Edge Computing for Sustainable Ocean Health Debashis De, |
| edge computing in financial services: Smart Edge Computing Rajdeep Chakraborty, Anupam Ghosh, Jyotsna Kumar Mandal, Tanupriya Choudhury, Prasenjit Chatterjee, 2024-04-02 This book pioneers the synergy between state-of-the-art edge computing technologies and the power of operations research. It comprehensively explores real-world applications, demonstrating how various operations' research techniques enhance edge computing’s efficiency, reliability and resource allocation. Innovative solutions for dynamic task scheduling, load balancing and data management, all tailored to the unique challenges of edge environments, are displayed. Starting with operation research methodologies with foundations, applications and research challenges in edge computing and an overview of digital education, this book continues with an exploration of applications in the health sector using IoT, intelligent payment procedures and performance measurement of edge computing, using edge computing and operation research. Smart or AI-based applications are also explored further on and the book ends with insight into ultralightweight and security protocols with solutions for IoT using blockchain. |
| edge computing in financial services: Information Technology Consulting Services Ron Legarski, 2024-08-31 Information Technology Consulting Services: Strategies for the Modern Enterprise is an essential guide for business leaders, IT professionals, and consultants seeking to navigate the complexities of the digital age. Authored by Ron Legarski, a seasoned expert in telecommunications and IT services, this book offers a comprehensive exploration of the strategies, tools, and best practices that are critical for success in today’s technology-driven world. As organizations increasingly rely on advanced technologies to maintain a competitive edge, the demand for effective IT consulting has never been greater. This book delves into the core areas of IT consulting, including cloud computing, cybersecurity, data analytics, project management, and digital transformation. Each chapter provides practical insights, real-world case studies, and actionable strategies that readers can apply directly to their own consulting engagements or IT operations. Ron Legarski draws on his extensive experience to illuminate the challenges and opportunities that arise in the field of IT consulting. From understanding client needs and managing complex projects to implementing cutting-edge technologies and ensuring regulatory compliance, this book covers it all. Readers will gain a deep understanding of how to deliver high-impact IT solutions that align with business goals, drive innovation, and enhance operational efficiency. Whether you are an IT consultant, a business executive, or an IT manager, Information Technology Consulting Services: Strategies for the Modern Enterprise equips you with the knowledge and tools to succeed in an increasingly complex and competitive landscape. This book is a must-read for anyone involved in or considering IT consulting, offering a roadmap to achieving excellence in the ever-evolving world of information technology. |
| edge computing in financial services: Internet of Things Explained: Connecting the Digital World Michael Roberts, Explore the transformative potential of the Internet of Things (IoT) with Internet of Things Explained: Connecting the Digital World. This comprehensive guide takes you through the fundamentals of IoT, from its architecture and components to real-world applications and future trends. Whether you're a beginner or a tech enthusiast, this book provides a thorough understanding of how IoT is reshaping industries and enhancing our daily lives. Dive into detailed explanations of IoT communication technologies, data management, security practices, and innovative applications in smart homes, healthcare, and industrial sectors. Packed with case studies and practical insights, this book is your gateway to mastering the intricacies of IoT and unlocking its limitless possibilities. |
| edge computing in financial services: FFIT 2022 Holger Haldenwang, George Yuan, Zhiping Jiang, 2023-04-14 The 2022 International Conference on Financial Innovation, FinTech and Information Technology (FFIT 2022), hosted by Shenzhen University of Technology and organized by the Financial Innovation and Fintech Research Center of Shenzhen University of Technology, was held on October 28-30, 2022 in Shenzhen, China. Due to the current COVID-19 pandemic and the strict travelling rules, it is still difficult to take international travel for all our attendees to participate in the conference. Therefore, FFIT 2022 was held as a hybrid event. FFIT 2022 brought together innovative academics and industrial experts in the field of Financial Innovation, Financial Technology and Information Technology to discuss the latest research results in this field. |
| edge computing in financial services: Edge Computing – EDGE 2022 Min Luo, Liang-Jie Zhang, 2022-12-15 This book constitutes the proceedings of the 6th International Conference on Edge Computing, EDGE 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 5 full and 2 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The International Conference on Edge Computing (EDGE) aims to become a prime international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of edge computing, identify emerging research topics, and define the future of edge computing. |
| edge computing in financial services: Industry Automation: The Technologies, Platforms and Use Cases Pethuru Raj, Abhishek Kumar, Ananth Kumar, Neha Singhal, 2024-08-23 This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution is capturing environmental data in real time and enabling local data processing to bring forth actionable insights. This facilitates insight-driven decisions and deeds. Precisely speaking, the aspects of real-time knowledge discovery and dissemination enable the creation and delivery of real-time and real-world features and functionalities. All industrial artifacts are being digitized, connected and empowered to be cognitive in their operations, offerings and outputs. By smartly leveraging a dazzling array of digital technologies and tools, the interaction and collaboration with human experts becomes hugely simplified and speeded up considerably. Such cognition-enabled industrial machineries, equipment, appliances, assembly lines, robots, vehicles, drones, and other assets collectively provide an intelligent environment to envisage and realize state-of-the-art industry 4.0 and 5.0 applications. Every industrial process gets optimized and automated to produce next-generation products to ensure customer delight, to explore fresh avenues to enhance revenues and to embark on higher productivity. In addition, there are chapters illustrating industrial use cases, infrastructure optimization, technology assimilation, and AI-powered data analytics towards industry automation. |
| edge computing in financial services: Computational Intelligence for Autonomous Finance Deepak Gupta, Mukul Gupta, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Parth M. Gupta, 2024-12-17 The book serves as an essential guide and a deep dive into the intersection of AI and finance, providing readers with a thorough understanding of the current state, challenges, and future possibilities of autonomous financial systems. In the rapidly evolving domain of autonomous finance, the convergence of computational intelligence techniques and financial technologies has paved the way for a new era of financial services. This transformation is driven by the integration of artificial intelligence (AI), machine learning (ML), blockchain, and big data analytics into financial systems, leading to the development of more responsive, efficient, and personalized financial products and services. Computational Intelligence for Autonomous Finance delves into the heart of this technological revolution, offering a comprehensive exploration of the theoretical foundations, practical applications, and future prospects of computational intelligence in the financial sector. The backbone of autonomous finance is a complex, interconnected ecosystem that leverages computational intelligence to automate decision-making processes, optimize financial operations, and enhance customer experiences. The book introduces the concept of an Intelligent Autonomous Financial Network (IAFN), which integrates various computational intelligence techniques with cutting-edge financial technologies to create a self-organizing, adaptive, and scalable financial system. The IAFN framework facilitates seamless interactions between diverse financial entities, enabling the provision of innovative financial services such as automated trading, real-time risk management, personalized financial planning, and fraud detection. The book meticulously analyzes the key challenges including data security and privacy concerns, algorithmic biases, regulatory compliance, and the need for interoperable standards. It also presents state-of-the-art solutions and best practices for overcoming these challenges, emphasizing the importance of ethical AI, robust data protection mechanisms, transparent algorithms, and collaborative regulatory frameworks. It discusses emerging trends such as quantum computing, edge computing, and decentralized finance (DeFi), highlighting their potential to further transform the financial landscape. The book also addresses the societal implications of autonomous finance, including its impact on employment, wealth distribution, and financial inclusion, advocating for a balanced approach that maximizes benefits while minimizing negative outcomes. Audience This book is aimed at researchers, industry professionals, policymakers, and graduate students in finance, computational intelligence, and related fields. |
| edge computing in financial services: Practical Applications of Data Processing, Algorithms, and Modeling Whig, Pawan, Sharma, Sachinn, Sharma, Seema, Jain, Anupriya, Yathiraju, Nikhitha, 2024-04-29 In today's data-driven era, the persistent gap between theoretical understanding and practical implementation in data science poses a formidable challenge. As we navigate through the complexities of harnessing data, deciphering algorithms, and unleashing the potential of modeling techniques, the need for a comprehensive guide becomes increasingly evident. This is the landscape explored in Practical Applications of Data Processing, Algorithms, and Modeling. This book is a solution to the pervasive problem faced by aspiring data scientists, seasoned professionals, and anyone fascinated by the power of data-driven insights. From the web of algorithms to the strategic role of modeling in decision-making, this book is an effective resource in a landscape where data, without proper guidance, risks becoming an untapped resource. The objective of Practical Applications of Data Processing, Algorithms, and Modeling is to address the pressing issue at the heart of data science – the divide between theory and practice. This book seeks to examine the complexities of data processing techniques, algorithms, and modeling methodologies, offering a practical understanding of these concepts. By focusing on real-world applications, the book provides readers with the tools and knowledge needed to bridge the gap effectively, allowing them to apply these techniques across diverse industries and domains. In the face of constant technological advancements, the book highlights the latest trends and innovative approaches, fostering a deeper comprehension of how these technologies can be leveraged to solve complex problems. As a practical guide, it empowers readers with hands-on examples, case studies, and problem-solving scenarios, aiming to instill confidence in navigating data challenges and making informed decisions using data-driven insights. |
| edge computing in financial services: AI-Driven Decentralized Finance and the Future of Finance Irfan, Mohammad, Elmogy, Mohammed, Gupta, Swati, Khalifa, Fahmi, Dias, Rui Teixeira, 2024-08-26 In the evolving landscape of finance, traditional institutions grapple with challenges ranging from outdated processes to limited accessibility, hindering the industry's ability to meet the diverse needs of a modern, digital-first society. Moreover, as the world embraces Decentralized Finance (DeFi) and Artificial Intelligence (AI) technologies, there becomes a need to bridge the gap between innovation and traditional financial systems. This disconnect not only impedes progress but also limits the potential for financial inclusion and sustainable growth. AI-Driven Decentralized Finance and the Future of Finance addresses the complexities and challenges currently facing the financial industry. By exploring the transformative potential of AI in decentralized finance, this book offers a roadmap for navigating the convergence of technology and finance. From optimizing smart contracts to enhancing security and personalizing financial experiences, the book provides practical insights and real-world examples that empower professionals to leverage AI-driven strategies effectively. |
| edge computing in financial services: China Internet Development Report 2022 Publishing House of Electronics Industry, 2023-10-15 This book objectively presents the achievements, status quo, and trends of China's Internet development in 2022, systematically summarizes the major experiences of China's Internet development, and deeply analyses the strategic planning, policies and measures, and development achievements, level and trends in China in terms of eight aspects, i.e. information infrastructure, digital economy, e-government, digital society, cyber content, cybersecurity, cyber law, international cyberspace governance, and exchange and cooperation. This book further optimizes the index system of China's Internet development and comprehensively evaluates the work of cybersecurity and informatisation in 31 provinces (autonomous regions, municipalities directly under the Central Government, excluding Hong Kong, Macao and Taiwan) across the country from six dimensions, so as to reflect the Internet development level in China and various regions in a comprehensive, accurate and objective way. This book collects the latest research results on China's Internet development and selects the most recent cases and reliable data. With diverse topics and in-depth discussions, this book is of great significance to those involved in the Internet field in government departments, Internet enterprises, scientific research institutions, and universities who hope to fully understand China's Internet development. |
| edge computing in financial services: Straight Through Processing for Financial Services Ayesha Khanna, 2010-08-03 As economic and regulatory pressures drive financial institutions to seek efficiency gains by improving the quality of their trading processes and systems, firms are devoting increasing amounts of capital to maintaining their competitive edge. Straight-Through Processing (STP), which automates every step in the trading system, is the most effective way for firms to remain competitive. According to the Securities Industry Association, the US securities industry will spend $8 billion to implement STP initiatives, and 99% percent of this investment will be made in systems internal to the firm. Straight-Through Processing for Financial Services: The Complete Guide provides the knowledge and tools required by operations managers and systems architects to develop and implement STP processing systems that streamline business processes to maintain competitiveness in the market.* Learn the tools and techniques for developing software systems and for streamlining business processes* Keep up to date and well informed in this highly regulated and ever changing market* Gain the knowledge and experience for a leading consultant in the field |
| edge computing in financial services: Smart Cars: AI and IoT Edge Computing in RealTime Signal Processing Jatin Soni, Karthikeyan Palanichamy, Aravind Ravi, Vishwanadham Mandala, ....... |
| edge computing in financial services: Advances in Computational Intelligence and Informatics Raghavendra Rao Chillarige, |
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Edge Computing and Cloud Integration in Financial Services: …
investigates the integration of edge computing and cloud computing to optimize latency and security in financial services, with the goal of creating a hybrid infrastructure that leverages the …
Modernizing Financial Services Processes with Edge Computing
Investments in edge computing have a positive impact on the business. Infrastructure modernization is extending outside of the datacenter to edge locations. Financial services …
Scale Computing Industry Solution Brief: Financial Services
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Edge computing represents a potential value of $175B–$215B in hardware by 2025. 1 Hardware value includes opportunity across the tech stack (ie, the sensor, on-device firmware, storage, …
Next-gen Technology transformation in Financial Services
This collection of articles—gathered from our recent publishing on the theme of financial services technology—is intended to serve as a roadmap for executives tasked with ramping up …
Emerging technologies: Restructuring the fundamentals of …
Technologies such as artificial intelligence, cloud computing and blockchain have already established innovative use cases in the financial services industry. Other emerging …
Industry Cloud for Financial Services sector - KPMG
Industry cloud for Financial Services comprises of the products, platforms and solutions that are purpose-built to fulfill requirements in banking, insurance, and capital markets industry …
CLOUD COMPUTING IN FINANCIAL SERVICES: …
This article examines how cloud computing is revolutionizing various aspects of financial services, from digital banking and mobile payment solutions to real-time transaction processing and …
Financial Services Data and Analytics Newsletter - PwC
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Emerging technologies: Restructuring the fundamentals
The financial services industry has always been at the forefront of innovation and has continued to witness numerous digital disruptions across the value chain. This has further accelerated post …
A Market and Ecosystem Report for Edge Computing
This 2021 State of the Edge report explores today’s edge computing ecosystem with a focus on the increasingly interconnected domains of critical infrastructure, networks, software, and …
Cloud-Native Fintech for Financial Inclusion: Bridging the Gap …
Through edge computing and advanced security frameworks, financial institutions are overcoming challenges related to network reliability and data protection while maintaining regulatory …
Gearing up for the 5G wave in financial services
To create a differentiated value proposition for their customers and fulfill their vision of high-end digital engagement and servicing, financial institutions are exploring new-age technologies.
LEVERAGING CLOUD TECHNOLOGIES TO ACCELERATE …
Cloud technologies are crucial for driving digital transformation in the banking sector. By providing scalable, flexible, and cost-effective solutions, cloud computing fosters innovation and …
Financial Services Industry Market Research - deloitte.com
Quantum computing may enhance fraud detection and prevention in financial services by rapidly analyzing large datasets and identifying patterns with greater precision, helping us stay ahead …
Cloud Computing in Fintech: Opportunities and Challenges: …
Cloud computing has emerged as a pivotal force in the evolution of financial technology (FinTech). This paper delves into the dual aspects of cloud computing in FinTech, analyzing …
Banking, financial services and insurance (BFSI): Digital ...
Switching to edge computing can help the BFSI sector to eliminate all constraints in its digital transformation path and create business value. Unlike cloud computing, edge computing …
FINANCIAL SERVICES Transforming Financial Services with …
The financial services industry is undergoing a seismic shift driven by heightened customer expectations, the rapid pace of technology change, and a highly complicated regulatory …
Edge Computing Supporting Digital Transformation in …
Technology that allows you move processing close to where data is generated and separate streams of information from end applications that use them is brought to life by “Edge …
The cyber clock is ticking: Derisking emerging technologies in ...
As financial-services companies around the world race to keep pace with a rapidly evolving technology landscape, they should consider not only what benefits new emerging technologies …
Edge Computing and Cloud Integration in Financial …
investigates the integration of edge computing and cloud computing to optimize latency and security in financial services, with the goal of creating a hybrid infrastructure that leverages the …
Modernizing Financial Services Processes with Edge …
Investments in edge computing have a positive impact on the business. Infrastructure modernization is extending outside of the datacenter to edge locations. Financial services …
Scale Computing Industry Solution Brief: Financial Services
We’re modernizing financial services with Scale Computing Platform. Our advanced infrastructure delivers high availability, automation, and remote management capabilities services to retail …
New demand, new markets: What edge computing means …
Edge computing represents a potential value of $175B–$215B in hardware by 2025. 1 Hardware value includes opportunity across the tech stack (ie, the sensor, on-device firmware, storage, …
Next-gen Technology transformation in Financial Services
This collection of articles—gathered from our recent publishing on the theme of financial services technology—is intended to serve as a roadmap for executives tasked with ramping up …
Emerging technologies: Restructuring the fundamentals of …
Technologies such as artificial intelligence, cloud computing and blockchain have already established innovative use cases in the financial services industry. Other emerging …
Industry Cloud for Financial Services sector - KPMG
Industry cloud for Financial Services comprises of the products, platforms and solutions that are purpose-built to fulfill requirements in banking, insurance, and capital markets industry …
CLOUD COMPUTING IN FINANCIAL SERVICES: …
This article examines how cloud computing is revolutionizing various aspects of financial services, from digital banking and mobile payment solutions to real-time transaction processing and …
Financial Services Data and Analytics Newsletter - PwC
Banking, financial services and insurance (BFSI) institutions can leverage edge computing here for flexible and fast updates in advertisement material while taking advantage of real-time …
Emerging technologies: Restructuring the fundamentals
The financial services industry has always been at the forefront of innovation and has continued to witness numerous digital disruptions across the value chain. This has further accelerated post …
A Market and Ecosystem Report for Edge Computing
This 2021 State of the Edge report explores today’s edge computing ecosystem with a focus on the increasingly interconnected domains of critical infrastructure, networks, software, and …
Cloud-Native Fintech for Financial Inclusion: Bridging the Gap …
Through edge computing and advanced security frameworks, financial institutions are overcoming challenges related to network reliability and data protection while maintaining regulatory …
Gearing up for the 5G wave in financial services
To create a differentiated value proposition for their customers and fulfill their vision of high-end digital engagement and servicing, financial institutions are exploring new-age technologies.
LEVERAGING CLOUD TECHNOLOGIES TO ACCELERATE …
Cloud technologies are crucial for driving digital transformation in the banking sector. By providing scalable, flexible, and cost-effective solutions, cloud computing fosters innovation and …
Financial Services Industry Market Research - deloitte.com
Quantum computing may enhance fraud detection and prevention in financial services by rapidly analyzing large datasets and identifying patterns with greater precision, helping us stay ahead …
Cloud Computing in Fintech: Opportunities and Challenges: …
Cloud computing has emerged as a pivotal force in the evolution of financial technology (FinTech). This paper delves into the dual aspects of cloud computing in FinTech, analyzing …
