Strengthening Industrial Cybersecurity to Protect Business Intelligence
Strengthening Industrial Cybersecurity to Protect Business Intelligence

Author: Saeed, Saqib

Publisher: IGI Global

Published: 2024-02-14

Total Pages: 392

ISBN-13:

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In the digital transformation era, integrating business intelligence and data analytics has become critical for the growth and sustainability of industrial organizations. However, with this technological evolution comes the pressing need for robust cybersecurity measures to safeguard valuable business intelligence from security threats. Strengthening Industrial Cybersecurity to Protect Business Intelligence delves into the theoretical foundations and empirical studies surrounding the intersection of business intelligence and cybersecurity within various industrial domains. This book addresses the importance of cybersecurity controls in mitigating financial losses and reputational damage caused by cyber-attacks. The content spans a spectrum of topics, including advances in business intelligence, the role of artificial intelligence in various business applications, and the integration of intelligent systems across industry 5.0. Ideal for academics in information systems, cybersecurity, and organizational science, as well as government officials and organizations, this book serves as a vital resource for understanding the intricate relationship between business intelligence and cybersecurity. It is equally beneficial for students seeking insights into the security implications of digital transformation processes for achieving business continuity.

Data-Driven Business Intelligence Systems for Socio-Technical Organizations
Data-Driven Business Intelligence Systems for Socio-Technical Organizations

Author: Keikhosrokiani, Pantea

Publisher: IGI Global

Published: 2024-04-09

Total Pages: 514

ISBN-13:

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The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.

Intelligent Optimization Techniques for Business Analytics
Intelligent Optimization Techniques for Business Analytics

Author: Bansal, Sanjeev

Publisher: IGI Global

Published: 2024-04-15

Total Pages: 377

ISBN-13:

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Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing data to drive efficiency, innovation, and competitiveness. The formidable challenge of effectively harnessing the immense power of intelligent optimization techniques and business analytics only increases as the volume of data grows exponentially, and the complexities of navigating the intricate landscape of business analytics becomes more daunting. This pressing issue underscores the critical need for a comprehensive solution, and Intelligent Optimization Techniques for Business Analytics is poised to provide much-needed answers. This groundbreaking book offers an all-encompassing solution to the challenges that academic scholars encounter in the pursuit of mastering the interplay between learning algorithms and intelligent optimization techniques for business analytics. Through a wealth of diverse perspectives and expert case studies, it illuminates the path to effectively implementing these advanced systems in real-world business scenarios. It caters not only to the scholarly community but also to industry professionals and policymakers, equipping them with the necessary tools and insights to excel in the realm of data-driven decision-making.

Safeguarding Financial Data in the Digital Age
Safeguarding Financial Data in the Digital Age

Author: Naz, Farah

Publisher: IGI Global

Published: 2024-07-22

Total Pages: 325

ISBN-13:

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Despite advancements in cybersecurity measures, the financial sector continues to grapple with data breaches, fraud, and privacy concerns. Traditional security measures are often insufficient to combat sophisticated cyber threats, leading to financial losses, reputational damage, and regulatory non-compliance. Moreover, the rapid pace of technological change makes it challenging for organizations to keep up with emerging threats and implement effective data protection strategies. This calls for a proactive and multidisciplinary approach to address financial data security's complex and evolving landscape. Safeguarding Financial Data in the Digital Age offers a timely and comprehensive solution to the challenges faced by the financial sector in securing sensitive information. By bringing together insights from finance, cybersecurity, and technology, this book provides a holistic understanding of the threats and opportunities in financial data security. It equips academics, industry professionals, policymakers, and students with the knowledge and tools needed to enhance financial data protection measures through detailed analyses, case studies, and practical recommendations. By fostering collaboration and knowledge exchange, this book serves as a valuable resource for shaping the future of financial data security in the digital age.

Powering Industry 5.0 and Sustainable Development Through Innovation
Powering Industry 5.0 and Sustainable Development Through Innovation

Author: Bansal, Rohit

Publisher: IGI Global

Published: 2024-05-28

Total Pages: 413

ISBN-13:

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Industries face the challenge of incorporating technological innovations while ensuring sustainable development in a constantly changing landscape. This struggle is complicated by the need to address societal and environmental concerns, and thus, there is a critical need for guidance and expertise to navigate these difficulties. Powering Industry 5.0 and Sustainable Development Through Innovation unveils a roadmap for industry stakeholders, offering insights into the role of technological innovations in driving Industry 5.0 while advancing sustainable development goals. By dissecting key elements such as artificial intelligence, big data analytics, and blockchain technology, readers understand how these tools can be harnessed to foster innovation and inclusivity. Moreover, the book explores emerging trends and challenges, equipping readers with the foresight needed to navigate the dynamic landscape of Industry 5.0.

Advanced Businesses in Industry 6.0
Advanced Businesses in Industry 6.0

Author: Oskounejad, Mohammad Mehdi

Publisher: IGI Global

Published: 2024-04-29

Total Pages: 297

ISBN-13:

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In an era dominated by technology, our world is experiencing a radical transformation through the relentless expansion of industrial generations. The advent of the fourth industrial generation unleashed transformative technologies that revolutionized businesses, enabling access to unprecedented data and analytical capabilities. As we transition into the fifth industrial generation, concepts like sustainability, resilience, and value take center stage, laying the foundation for what is now known as Industry 6.0. In this landscape, processes are intelligently managed without human intervention, and artificial intelligence burgeons, promising a future where calculations and analyses occur at unprecedented speeds through quantum computing. Advanced Businesses in Industry 6.0 emerges as a comprehensive guide to decipher the intricacies of Industry 6.0. With a focus on ultra-advanced concepts, we aim to provide a roadmap for scholars and professionals, offering insights into the opportunities and challenges within this ultra-smart environment. Tailored for students and professionals alike, this book delves into essential topics such as super smart businesses, supply chain advancements, smart factories, production, procurement, information logistics, distribution, interactions, marketing, finance, agriculture, and health systems in Industry 6.0.

Cases on AI Ethics in Business
Cases on AI Ethics in Business

Author: Tennin, Kyla Latrice

Publisher: IGI Global

Published: 2024-05-17

Total Pages: 367

ISBN-13:

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Organizations face a pressing challenge in today's rapidly evolving economies: navigating the ethical complexities of adopting Artificial Intelligence (AI) and related technologies. As AI becomes increasingly integral to operations, transparency, fairness, accountability, and privacy concerns are more critical than ever. Organizations need practical guidance to develop and implement AI ethics strategies effectively. Cases on AI Ethics in Business offers a comprehensive solution by examining AI Ethics through theoretical lenses and innovative practices. It provides a roadmap for organizations to address ethical challenges in AI adoption, offering insights from leaders in the field. With a focus on theory-to-practice, the book equips readers with actionable strategies and frameworks to navigate the ethical implications of AI, ensuring responsible and sustainable AI deployment.

Effective Model-Based Systems Engineering
Effective Model-Based Systems Engineering

Author: John M. Borky

Publisher: Springer

Published: 2018-09-08

Total Pages: 788

ISBN-13: 3319956698

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This textbook presents a proven, mature Model-Based Systems Engineering (MBSE) methodology that has delivered success in a wide range of system and enterprise programs. The authors introduce MBSE as the state of the practice in the vital Systems Engineering discipline that manages complexity and integrates technologies and design approaches to achieve effective, affordable, and balanced system solutions to the needs of a customer organization and its personnel. The book begins with a summary of the background and nature of MBSE. It summarizes the theory behind Object-Oriented Design applied to complex system architectures. It then walks through the phases of the MBSE methodology, using system examples to illustrate key points. Subsequent chapters broaden the application of MBSE in Service-Oriented Architectures (SOA), real-time systems, cybersecurity, networked enterprises, system simulations, and prototyping. The vital subject of system and architecture governance completes the discussion. The book features exercises at the end of each chapter intended to help readers/students focus on key points, as well as extensive appendices that furnish additional detail in particular areas. The self-contained text is ideal for students in a range of courses in systems architecture and MBSE as well as for practitioners seeking a highly practical presentation of MBSE principles and techniques.

Utilizing AI and Smart Technology to Improve Sustainability in Entrepreneurship
Utilizing AI and Smart Technology to Improve Sustainability in Entrepreneurship

Author: Hossain, Syed Far Abid

Publisher: IGI Global

Published: 2024-03-18

Total Pages: 392

ISBN-13:

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Businesses must confront a pressing challenge—how to navigate the turbulent seas of market dynamics and technological advancements. As traditional business models face obsolescence in the wake of relentless innovation, enterprises failing to quickly to harness the power of advanced technologies risk fading into obscurity. This predicament sets the stage for a critical exploration of the profound impact of artificial intelligence (AI) and smart technology on the sustainability of entrepreneurial ventures. Without a strategic embrace of these innovations, businesses find themselves adrift, struggling to cope with the demands of a rapidly evolving market. Utilizing AI and Smart Technology to Improve Sustainability in Entrepreneurship serves as a guide for entrepreneurs seeking to thrive in this era of unprecedented change. Readers begin with a deep dive into the challenges faced by contemporary businesses. This book meticulously dissects these challenges and provides guidance for those ready to chart a course toward sustainable success by leveraging the transformative and compelling aptitudes of AI. The proposed solution of the integration of AI and smart technologies into the business landscape is one of great promise.

Scalable Modeling and Efficient Management of IoT Applications
Scalable Modeling and Efficient Management of IoT Applications

Author: Rajput, Dharmendra Singh

Publisher: IGI Global

Published: 2024-10-08

Total Pages: 318

ISBN-13:

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Experts continue to struggle with developing methods to effectively navigate the intricate landscape of the Internet of Things (IoT). As the IoT landscape continues to expand and influence various industries, from healthcare to smart cities and beyond, scholars often find themselves facing an absence of comprehensive guidance in navigating this evolving technological landscape. The challenges are multifaceted and include the need for intelligent modeling techniques, the intricacies of managing IoT applications, and the relentless pace of technological advancements. This issue of staying well-informed and equipped to address these challenges demands an insightful solution. To tackle these challenges, Scalable Modeling and Efficient Management of IoT Applications emerges as a valuable resource, offering a multitude of effective solutions to address these concerns. This is a book that was meticulously crafted to empower scholars with the knowledge and tools they need. By tackling the scarcity of guidance on intelligent modeling techniques, the book equips readers with a profound understanding of the fundamental concepts, algorithms, and methodologies crucial for designing and managing intelligent IoT systems.