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Genre | : |
Author | : Ken Huang |
Publisher | : Springer Nature |
Release | : |
File | : 367 Pages |
ISBN-13 | : 9783031542527 |
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Genre | : |
Author | : Ken Huang |
Publisher | : Springer Nature |
Release | : |
File | : 367 Pages |
ISBN-13 | : 9783031542527 |
As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians.
Genre | : Computers |
Author | : Gomathi Sankar, Jeganathan |
Publisher | : IGI Global |
Release | : 2024-08-21 |
File | : 468 Pages |
ISBN-13 | : 9798369385593 |
Web engineering faces a pressing challenge in keeping pace with the rapidly evolving digital landscape. Developing, designing, testing, and maintaining web-based systems and applications require innovative approaches to meet the growing demands of users and businesses. Generative Artificial Intelligence (AI) emerges as a transformative solution, offering advanced capabilities to enhance web engineering models and methodologies. This book presents a timely exploration of how Generative AI can revolutionize the web engineering discipline, providing insights into future challenges and societal impacts. Generative AI for Web Engineering Models offers a comprehensive examination of integrating AI-driven generative approaches into web engineering practices. It delves into methodologies, models, and the transformative impact of Generative AI on web-based systems and applications. By addressing topics such as web browser technologies, website scalability, security, and the integration of Machine Learning, this book provides a roadmap for researchers, scientists, postgraduate students, and AI enthusiasts interested in the intersection of AI and web engineering.
Genre | : Computers |
Author | : Shah, Imdad Ali |
Publisher | : IGI Global |
Release | : 2024-10-22 |
File | : 622 Pages |
ISBN-13 | : 9798369337042 |
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Genre | : Architecture |
Author | : Dr Sivaraju Kuraku |
Publisher | : JEC PUBLICATION |
Release | : |
File | : 175 Pages |
ISBN-13 | : 9789361759826 |
As cyber threats become increasingly sophisticated, the need for innovative defense strategies becomes urgent. Generative artificial intelligence (AI) offers a revolutionary approach to enhance cybersecurity. By utilizing advanced algorithms, data analysis, and machine learning, generative AI can simulate complex attack scenarios, identify vulnerabilities, and develop proactive defense mechanisms while adapting to modern-day cyber-attacks. AI strengthens current organizational security while offering quick, effective responses to emerging threats. Decisive strategies are needed to integrate generative AI into businesses defense strategies and protect organizations from attacks, secure digital data, and ensure safe business processes. Utilizing Generative AI for Cyber Defense Strategies explores the utilization of generative AI tools in organizational cyber security and defense. Strategies for effective threat detection and mitigation are presented, with an emphasis on deep learning, artificial intelligence, and Internet of Things (IoT) technology. This book covers topics such as cyber security, threat intelligence, and behavior analysis, and is a useful resource for computer engineers, security professionals, business owners, government officials, data analysts, academicians, scientists, and researchers.
Genre | : Computers |
Author | : Jhanjhi, Noor Zaman |
Publisher | : IGI Global |
Release | : 2024-09-12 |
File | : 546 Pages |
ISBN-13 | : 9798369389461 |
The constantly changing digital environment of today makes cybersecurity an ever-increasing concern. With every technological advancement, cyber threats become more sophisticated and easily exploit system vulnerabilities. This unending attack barrage exposes organizations to data breaches, financial losses, and reputational harm. The traditional defense mechanisms, once dependable, now require additional support to keep up with the dynamic nature of modern attacks. Reshaping CyberSecurity With Generative AI Techniques offers a transformative solution to the pressing cybersecurity dilemma by harnessing the power of cutting-edge generative AI technologies. Bridging the gap between artificial intelligence and cybersecurity presents a paradigm shift in defense strategies, empowering organizations to safeguard their digital assets proactively. Through a comprehensive exploration of generative AI techniques, readers gain invaluable insights into how these technologies can be leveraged to mitigate cyber threats, enhance defense capabilities, and reshape the cybersecurity paradigm.
Genre | : Computers |
Author | : Jhanjhi, Noor Zaman |
Publisher | : IGI Global |
Release | : 2024-09-13 |
File | : 664 Pages |
ISBN-13 | : 9798369354179 |
An indispensable look at the next frontier of technological advancement and its impact on our world Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society. Professionals, technophiles, and anyone with an interest in the future will need to understand how GenAI is set to redefine jobs, revolutionize business, and question the foundations everything we do. In this book, Marr sheds light on the most innovative real-world GenAI applications through practical examples, describing how they are moulding industries like retail, healthcare, education, finance, and beyond. You'll enjoy a captivating discussion of innovations in media and entertainment, seismic shifts in advertising, and the future trajectory of GenAI. You will: Navigate the complex landscapes of risks and challenges posed by Generative AI Delve into the revolutionary transformation of the job market in the age of GenAI Understand AI's transformative impact on education, healthcare, and retail Explore the boundless potentials in media, design, banking, coding, and even the legal arena Ideal for professionals, technophiles, and anyone eager to understand the next big thing in technology, Generative AI In Practice will equip readers with insights on how to implement GenAI, how GenAI is different to traditional AI, and a comprehensive list of generative AI tools available today.
Genre | : Business & Economics |
Author | : Bernard Marr |
Publisher | : John Wiley & Sons |
Release | : 2024-03-26 |
File | : 313 Pages |
ISBN-13 | : 9781394254248 |
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Genre | : Computers |
Author | : Chandrakanth Rao Madhavaram |
Publisher | : JEC PUBLICATION |
Release | : |
File | : 216 Pages |
ISBN-13 | : 9789361754425 |
Genre | : |
Author | : Ken Huang |
Publisher | : Springer Nature |
Release | : |
File | : 293 Pages |
ISBN-13 | : 9783031580024 |
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Genre | : Young Adult Nonfiction |
Author | : Purshotam Singh Yadav |
Publisher | : JEC PUBLICATION |
Release | : |
File | : 191 Pages |
ISBN-13 | : 9789361757228 |