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Author: Goel, Pawan Kumar
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 689
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Book Description
In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business. Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers.
Author: Goel, Pawan Kumar
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 689
Get Book Here
Book Description
In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business. Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers.
Author: Pawan Kumar Goel
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 0
Get Book Here
Book Description
In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business. Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers.
Author: Kaur, Gaganpreet
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 498
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Book Description
As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI and machine learning into their security solutions will allow businesses to build customer trust and maintain a competitive edge throughout the growing digital landscapes. A thorough examination of cutting-edge innovations in e-commerce data security may ensure security measures keep up with current technological advancements in the industry. Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers.
Author: Cybellium
Publisher: Cybellium Ltd
ISBN: 1836797877
Category : Computers
Languages : en
Pages : 270
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Book Description
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Author: Yaz?c?, Ay?e Meriç
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 452
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Book Description
The changing digital landscape has many organizations grappling with the challenge of adapting to unprecedented changes and innovation. The absence of a universally accepted definition of digital strategy exacerbates the complexity, leaving leaders uncertain about how to navigate this journey. Inertia becomes an untenable response to the urgent questions organizations face in a digitized worldhow to seize digital opportunities, mitigate threats, and transform traditional values into digital assets. New Strategy Models in Digital Entrepreneurship emerges as the definitive solution for academic scholars seeking clarity and guidance in the realm of digital strategy. The book offers a comprehensive collection of papers that explore traditional paradigms, contemporary approaches, and innovative research methodologies. It serves as a beacon for practitioners, academicians, postgraduate and undergraduate students, and librarians, providing a roadmap for formulating and executing robust digital strategies. From theoretical foundations to the application of innovative business models, the book presents a holistic approach to navigating the complexities of digital transformation.
Author: Jayesh Rane
Publisher: Deep Science Publishing
ISBN: 8198127178
Category : Computers
Languages : en
Pages : 278
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Book Description
The rapid digital development of the recent era has revolutionized the overall network of business and management as well as other sectors. The book discusses how emerging technologies, artificial intelligence (AI), blockchain, big data analytics, cloud computing and the Internet of Things (IoT), have a high level of impact on different industries. With more and more businesses turning towards these techs, it is extremely important to really understanding their relation and use in order to remain at the cutting edge of technology while emerging as an innovator. Chapter 1 is a detailed introduction to the digital transformation, driven by AI, blockchain, IoT and other technologies are changing Business & Management processes. This paves the way for diving deeper into targeted topics where these innovations are starting to have a big influence. In chapter two we delve into the increasing popularity of generative AI, ChatGPT takes center stage and how it is impacting range of industries. In this research, we review generative AI applications and opportunities as well as challenges and the outlook, for future development. Also touched on in the book are the customer front-exporting portions of digital renovation. Chapter 3 - Overall Vision: How AI, Machine Learning and related technologies help in higher customer satisfaction and loyalty right into the services industry to build exceptional service quality. In chapter four, we look at education-providing a SWOT analysis for ChatGPT in the transformation of pedagogical practices and research. We find that our higher-level theory is not so easily translated back into practice here - illustrating both the promise and problems that AI holds within a university setting. There are various areas in which we heavily rely on spatial analysis and remote sensing, and chapter five illustrates the new means by which AI and ChatGPT can be used to improve data interpretation and analysis for these fields. Chapter six shifts the focus to agriculture, highlighting how AI, machine learning and ChatGPT come into play in smart farming and how it might pave a way for enhanced productivity and sustainability within the agricultural landscape. Taken together, these chapters offer a deep dive into how AI is driving hope at sectors and provides insightful knowledge about futurity of business, education, and industry.
Author: Hamid Jahankhani
Publisher: Springer Nature
ISBN: 3030982254
Category : Business & Economics
Languages : en
Pages : 318
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Book Description
This book aims to explore the aspects of strategic leadership in a digital context together with the cyber-physical relationships whilst performing business activities. Furthermore, this book looks to investigate the interactions from both the organization strategy including the cross-functional actors/stakeholders whom are operating within the organization and the various characteristics of operating in a cyber secure ecosystem. The book provides a valuable reference for IT directors, strategic leaders, cybersecurity experts, network security professionals. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cybersecurity. Furthermore, the book is an exceptional advanced text for Ph.D. and master’s degree programs in cybersecurity, network security and computer science. Each chapter is written by an internationally renowned expert who has extensive experience in law enforcement, industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.
Author: Cybellium
Publisher: Cybellium Ltd
ISBN: 1836797680
Category : Computers
Languages : en
Pages : 226
Get Book Here
Book Description
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Author: Ken Huang
Publisher: Springer Nature
ISBN: 3031452828
Category : Business & Economics
Languages : en
Pages : 412
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Book Description
This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business operations. It covers the potential impact surpassing prior industrial revolutions. After providing an overview of GenAI, ChatGPT, and Web3, it investigates business applications in various industries and areas, such as product management, finance, real estate, gaming, and government, highlighting value creation and operational revolution through their integration. It also explores their impact on content generation, customer service, personalization, and data analysis and examines how the technologies can enhance content quality, customer experiences, sales, revenue, and resource efficiency. Moreover, it addresses security, privacy, and ethics concerns, emphasizing the responsible implementation of ChatGPT and Web3. Written by experts in this field, this book is aimed at business leaders, entrepreneurs, students, investors, and professionals who are seeking insights into ChatGPT, ChatGPT Plug-in, GPT-based autonomous agents, and the integration of Gen AI and Web3 in business applications.
Author: Marc Baudry
Publisher: Taylor & Francis
ISBN: 104001111X
Category : Business & Economics
Languages : en
Pages : 339
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Book Description
Following multiple global crises, there is an urgent need to review our economic and financial paradigms to improve outcomes for the three pillars of sustainable development: economic, social, and environmental. In response, various strands of new economic thinking have emerged such as degrowth, the collaborative economy, solidarity economy, sharing economy and social entrepreneurship. This book explores the various economic and financial dimensions of sustainable development drawing on new and existing theories. This comprehensive book is divided into four sections, each presenting the results of a team of international researchers, tackling the issue from a global, macroeconomic, and microeconomic approach. The first part examines the determinants of sustainable development in the global economy, while the second looks at enterprise in a sustainable world. The third section analyses the financial markets and the fourth addresses economic policy and sustainable development. A wide array of sustainability concerns are discussed in-depth, from analysing changes in environmental social, and governance reporting and assessing their impact on the information systems and reporting of economic entities; exploring the transition to 'Industry 5.0', and how technological innovation can be deployed to support a better fit and 'win-win' interaction between industry and society, shifting focus from economic and technological factors to important environmental and social dimensions. The monograph is an invaluable resource for scholars, researchers, and students of applied, development, growth, resource, and welfare economics. The policy recommendations will be of benefit to policymakers concerned with issues of sustainable development generally and the Sustainable Development Goals specifically.
