Evolution of Cross-Sector Cyber Intelligent Markets PDF Download
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Author: Lewis, Eugene J.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 497
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Book Description
In today's digital age, cyber threats have become an ever-increasing risk to businesses, governments, and individuals worldwide. The deep integration of technology into every facet of modern life has given rise to a complex and interconnected web of vulnerabilities. As a result, traditional, sector-specific approaches to cybersecurity have proven insufficient in the face of these sophisticated and relentless adversaries. The need for a transformative solution that transcends organizational silos and fosters cross-sector collaboration, information sharing, and intelligence-driven defense strategies is now more critical than ever. Evolution of Cross-Sector Cyber Intelligent Markets explores the changes occurring within the field of intelligent markets, noting a significant paradigm shift that redefines cybersecurity. Through engaging narratives, real-world examples, and in-depth analysis, the book illuminates the key principles and objectives driving this evolution, shedding light on innovative solutions and collaborative efforts aimed at securing our digital future.
Author: Lewis, Eugene J.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 497
Get Book Here
Book Description
In today's digital age, cyber threats have become an ever-increasing risk to businesses, governments, and individuals worldwide. The deep integration of technology into every facet of modern life has given rise to a complex and interconnected web of vulnerabilities. As a result, traditional, sector-specific approaches to cybersecurity have proven insufficient in the face of these sophisticated and relentless adversaries. The need for a transformative solution that transcends organizational silos and fosters cross-sector collaboration, information sharing, and intelligence-driven defense strategies is now more critical than ever. Evolution of Cross-Sector Cyber Intelligent Markets explores the changes occurring within the field of intelligent markets, noting a significant paradigm shift that redefines cybersecurity. Through engaging narratives, real-world examples, and in-depth analysis, the book illuminates the key principles and objectives driving this evolution, shedding light on innovative solutions and collaborative efforts aimed at securing our digital future.
Author: Darwish, Dina
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 536
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Book Description
The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.
Author: Bansal, Sanjeev
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 377
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Book Description
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.
Author: Bansal, Rohit
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 413
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Book Description
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.
Author: Omar, Marwan
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 502
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Book Description
The exponential rise in digital transformation has brought unprecedented advances and complexities in cybersecurity and forensic practices. As cyber threats become increasingly sophisticated, traditional security measures alone are no longer sufficient to counter the dynamic landscape of cyber-attacks, data breaches, and digital fraud. The emergence of Artificial Intelligence (AI) has introduced powerful tools to enhance detection, response, and prevention capabilities in cybersecurity, providing a proactive approach to identifying potential threats and securing digital environments. In parallel, AI is transforming digital forensic practices by automating evidence collection, enhancing data analysis accuracy, and enabling faster incident response times. From anomaly detection and pattern recognition to predictive modeling, AI applications in cybersecurity and forensics hold immense promise for creating robust, adaptive defenses and ensuring timely investigation of cyber incidents. Integrating Artificial Intelligence in Cybersecurity and Forensic Practices explores the evolving role of AI in cybersecurity and forensic science. It delves into key AI techniques, discussing their applications, benefits, and challenges in tackling modern cyber threats and forensic investigations. Covering topics such as automation, deep neural networks, and traffic analysis, this book is an excellent resource for professionals, researchers, students, IT security managers, threat analysts, digital forensic investigators, and more.
Author: Anand, Amit
Publisher: IGI Global
ISBN:
Category : Science
Languages : en
Pages : 469
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Book Description
Artificial Intelligence (AI) is swiftly reshaping global regulatory frameworks, and current discussions on privacy have been thrust into the limelight. The virtual spaces we inhabit and technological advancements demand reevaluating our understanding of privacy, freedom of expression, and access to information. As the world grapples with unprecedented digital transformation, intensified by the global pandemic, exploring the human impact of AI has never been more important. The book, Intersections Between Rights and Technology explores this juncture, dissecting the intricate relationship between the rights we hold dear and the transformative power of technology. This book navigates the complexities of safeguarding human rights in the digital realm with a multidisciplinary lens. Addressing issues of paramount importance—privacy, human dignity, personal safety, and non-discrimination—the book critically examines the evolving landscape and the necessity to recalibrate legal and societal norms. This book is an indispensable resource for scholars, policymakers, law enforcement professionals, and individuals passionate about shaping a digital world where rights are not just respected but actively protected.
Author: Hossain, Syed Far Abid
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 392
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Book Description
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.
Author: Keikhosrokiani, Pantea
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 514
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Book Description
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.
Author: Omar, Marwan
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 534
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Book Description
Large Language Models (LLMs) are redefining the landscape of cybersecurity, offering innovative methods for detecting software vulnerabilities. By applying advanced AI techniques to identify and predict weaknesses in software code, including zero-day exploits and complex malware, LLMs provide a proactive approach to securing digital environments. This integration of AI and cybersecurity presents new possibilities for enhancing software security measures. Application of Large Language Models (LLMs) for Software Vulnerability Detection offers a comprehensive exploration of this groundbreaking field. These chapters are designed to bridge the gap between AI research and practical application in cybersecurity, in order to provide valuable insights for researchers, AI specialists, software developers, and industry professionals. Through real-world examples and actionable strategies, the publication will drive innovation in vulnerability detection and set new standards for leveraging AI in cybersecurity.
Author: Ponnusamy, Sivaram
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 360
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Book Description
In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin technology to stay competitive and relevant. This challenge is exacerbated by the rapid evolution of these technologies and the urgent need for businesses to adapt. AI continues to advance in areas such as language comprehension, pattern recognition, decision-making, and experiential learning, while digital twins are transforming into electronic replicas of real-world entities. Consequently, businesses grapple with the complexities of navigating this transformative convergence. Digital Twin Technology and AI Implementations in Future-Focused Businesses addresses the pressing issue of how AI and digital twin technology are altering the very fabric of business operations. It delves into the profound implications for productivity, creativity, and decision-making in organizations across diverse industries. Staying ahead of the technical curve is crucial, and this book equips readers with the knowledge and insights needed to thrive in this evolving business landscape.
