The Pioneering Applications Of Generative Ai
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The Pioneering Applications Of Generative Ai
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Author : Kumar, Raghvendra
language : en
Publisher: IGI Global
Release Date : 2024-07-17
The Pioneering Applications Of Generative Ai written by Kumar, Raghvendra and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Computers categories.
Integrating generative artificial intelligence (AI) into art, design, and media presents a double-edged sword. While it offers unprecedented creative possibilities, it raises ethical concerns, challenges traditional workflows, and requires careful regulation. As AI becomes more prevalent in these fields, there is a pressing need for a comprehensive resource that explores the technology's potential and navigates the complex landscape of its implications. The Pioneering Applications of Generative AI is a pioneering book that addresses these challenges head-on. It provides a deep dive into the evolution, ethical considerations, core technologies, and creative applications of generative AI, offering readers a thorough understanding of this transformative technology. Researchers, academicians, scientists, and research scholars will find this book invaluable in navigating the complexities of generative AI in art, design, and media. With its focus on ethical and responsible AI and discussions on regulatory frameworks, the book equips readers with the knowledge and tools needed to harness the full potential of generative AI while ensuring its responsible and ethical use.
Building Trust In The Generative Artificial Intelligence Era
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Author : Joanna Paliszkiewicz
language : en
Publisher: Taylor & Francis
Release Date : 2025-06-27
Building Trust In The Generative Artificial Intelligence Era written by Joanna Paliszkiewicz and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Business & Economics categories.
In an era where generative artificial intelligence (AI) is reshaping industries and daily life, trust has become a cornerstone for its successful adoption and application. Building Trust in the Generative Artificial Intelligence Era: Technology Challenges and Innovations explores how trust can be built, maintained, and evaluated in a world increasingly reliant on AI technologies. Designed to be accessible to a broad audience, thi book blends theoretical insights with practical approaches, offering readers a comprehensive understanding of the topic. This book is divided into three parts. The first part examines the foundations of trust in generative AI, highlighting trends and ethical challenges such as "greenwashing" and remote work dynamics. The second part provides actionable frameworks and tools for assessing and enhancing trust, focusing on topics like cybersecurity, transparency, and explainability. The final section presents global case studies exploring university students' perceptions of ChatGPT, generative AI's applications in European agriculture, and its transformative impact on financial systems. By addressing both the opportunities and risks of generative AI, this book delivers groundbreaking insights for academics, professionals, and policymakers worldwide. It emphasizes practical solutions, ensuring readers gain the knowledge needed to navigate the evolving technological landscape and foster trust in transformative AI systems.
Generative Ai Techniques Models And Applications
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Author : Rajan Gupta
language : en
Publisher: Springer Nature
Release Date : 2025-03-26
Generative Ai Techniques Models And Applications written by Rajan Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Computers categories.
This book unlocks the full potential of modern AI systems through a meticulously structured exploration of concepts, techniques, and practical applications. This comprehensive book bridges theoretical foundations with real-world implementations, offering readers a unique perspective on the rapidly evolving field of generative technologies. From computational foundations to ethical considerations, the book systematically covers essential topics including foundation models, large-scale architectures, prompt engineering, and practical applications. The content seamlessly integrates complex technical concepts with industry-relevant examples, making it an invaluable resource for researchers, academicians, and practitioners. Distinguished by its balanced approach to theory and practice, this book serves as both a learning tool and reference guide. Readers will benefit from: Clear explanations of advanced concepts. Practical implementation insights. Current industry applications. Ethical framework discussions. Whether you're conducting research, implementing solutions, or exploring the field, this book provides the knowledge necessary to understand and apply generative AI technologies effectively while considering crucial aspects of security, privacy, and fairness.
Ai Integration For Business Sustainability
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Author : Aziza Al Qamashoui
language : en
Publisher: Springer Nature
Release Date : 2025-05-29
Ai Integration For Business Sustainability written by Aziza Al Qamashoui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Science categories.
This book offers a comprehensive exploration of artificial intelligence (AI) integration for business sustainability for a resilient future. Delving into the dynamic interplay between AI and sustainable business practices, it serves as a vital guide for professionals, entrepreneurs, policymakers, and researchers seeking to embrace innovative solutions to drive sustainability initiatives forward. From its inception, the book sets out to showcase the critical role that AI plays in reshaping modern business landscapes towards sustainability. It extensively covers various facets with foundational understanding of sustainability and AI evolution and detailed insights into successful AI integration in industries such as agriculture, education, energy, manufacturing, and healthcare. Through real-world case studies and practical strategies, it illuminates how AI can optimize operations, mitigate environmental impact, and foster social responsibility. The book addresses the core challenges faced by businesses in implementing AI-driven sustainability solutions. It navigates through adoption barriers, regulatory concerns, and ethical considerations, offering actionable advice for responsible AI integration. Furthermore, it presents future trends and emerging technologies, empowering readers to anticipate disruptions and utilize innovative AI solutions.
Neural Network Advancements In The Age Of Ai
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Author : Benziane, Sarah
language : en
Publisher: IGI Global
Release Date : 2025-05-29
Neural Network Advancements In The Age Of Ai written by Benziane, Sarah and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Computers categories.
Emerging trends such as explainable artificial intelligence (XAI), few-shot learning, and neural architecture search (NAS) push the boundaries of current neural networks. These cutting-edge networks are transforming the design and efficiency in modern applications, including computer vision, natural language processing (NLP), and autonomous systems. They enable engineers and data scientists to design efficient models, accelerating innovation in sectors like healthcare, biotechnology, and smart systems. The practical implementation techniques of these advanced neural networks are ideal for optimizing neural networks in real-world scenarios and solving real-world problems. Neural Network Advancements in the Age of AI provides a comprehensive exploration of neural networks, emphasizing both the theoretical foundations and practical applications across various fields. It bridges the gap between theory and practice, making neural networks accessible to both researchers and practitioners. Covering topics such as machine translation, predictive maintenance, and skill acquisition, this book is an excellent resource for AI engineers, data scientists, software developers, healthcare professionals, financial practitioners, engineers, computer scientists, professionals, researchers, scholars, academicians, and more.
Transforming Healthcare Training With Ai And Generative Ai The Future Of Medical Education Simulation And Real Time Case Studies
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Author : Sai Teja Nuka
language : en
Publisher: JEC PUBLICATION
Release Date :
Transforming Healthcare Training With Ai And Generative Ai The Future Of Medical Education Simulation And Real Time Case Studies written by Sai Teja Nuka and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Genai On Aws
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Author : Olivier Bergeret
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-19
Genai On Aws written by Olivier Bergeret and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Computers categories.
The definitive guide to leveraging AWS for generative AI GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS. This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of machine learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform. In the book, you'll: Gain invaluable insights from practicing cloud and software engineers on developing cutting-edge generative AI applications using AWS Discover beginner-friendly introductions to AI and machine learning, coupled with advanced techniques for leveraging AWS's AI tools Learn from a resource that's ideal for a broad audience, from technical professionals like cloud engineers and software developers to non-technical business leaders looking to innovate with AI Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, Gen AI on AWS is your gateway to mastering generative AI development on AWS. Seize this opportunity for an enduring competitive advantage in the rapidly evolving field of AI. Embark on your journey to building practical, impactful AI applications by grabbing a copy today.
Generative Ai
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Author : Maria Johnsen
language : en
Publisher: Maria Johnsen
Release Date : 2024-06-08
Generative Ai written by Maria Johnsen and has been published by Maria Johnsen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-08 with Computers categories.
This book explores the technology behind AI systems that generate new content. We examine how models learn from existing data and use advanced algorithms, aiming to educate readers on the principles, applications, and impact of this transformative field. Featuring case studies from various industries, the book is the result of extensive research. I hope you find it engaging and insightful. It's especially recommended for postgraduate students, as it covers key aspects of generative AI and its future potential.
Inside Generative Ai
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :
Inside Generative Ai written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Generative AI represents a groundbreaking frontier in the realm of artificial intelligence, where machines not only learn from data but also create new data, mimicking the inventive processes of human creativity. This book is a comprehensive guide that explores the depths of generative AI, from foundational concepts to advanced applications, and provides a rich array of hands-on projects and real-world case studies. Why Generative AI? In recent years, generative AI has transformed from a niche area of research to a central pillar of AI innovation, with profound implications for various industries. From generating realistic images and videos to composing music and writing compelling narratives, generative AI models are pushing the boundaries of what machines can do. This evolution has not only expanded the capabilities of AI but also sparked new forms of creative expression and problem-solving. Generative AI's impact is evident in numerous fields: Art and Design: Artists and designers are leveraging AI to create stunning visual artworks, intricate designs, and immersive digital environments. Tools like DeepDream and GauGAN have opened new horizons in artistic creativity, enabling the generation of unique and surreal visuals. Media and Entertainment: The media industry is using generative AI to automate content creation, from news articles to movie scripts, and even to generate entire virtual worlds for video games and virtual reality experiences. AI-generated music and soundtracks are also becoming increasingly popular, offering new ways to enhance auditory experiences. Healthcare: In healthcare, generative AI is aiding in the discovery of new drugs, personalizing treatment plans, and enhancing medical imaging. By generating realistic simulations and models, AI helps researchers and practitioners explore new avenues in medical science. Business and Marketing: Businesses are employing generative AI to create personalized marketing content, design products, and optimize supply chains. AI-driven tools are enabling companies to innovate faster and more efficiently, providing a competitive edge in the market. Dive into the projects, experiment with different models, and engage with the AI community. By learning, creating, and sharing, you become a part of the vibrant and dynamic landscape of generative AI. The future is filled with opportunities, and this book is your gateway to exploring and contributing to the exciting world of generative AI. Welcome to the journey!
Generative Ai Transformation Blueprint
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Author : I. Almeida
language : en
Publisher: Now Next LaterAI
Release Date : 2023-11-30
Generative Ai Transformation Blueprint written by I. Almeida and has been published by Now Next LaterAI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-30 with Business & Economics categories.
2025 Edition. This practical and concise guide provides senior decision-makers with a clear, accessible roadmap for harnessing the power of generative AI, enhancing innovation, and boosting business outcomes. Drawing on insights from AI-enabled business transformations in diverse sectors, it presents a validated strategic approach. This blueprint not only outlines best practices but also showcases pioneering use cases, integrating them into a cohesive framework for practical implementation. This scenario-based approach helps leaders understand where and how to apply the practices outlined. Spanning across areas from strategic alignment and talent development to ethical governance and sustaining a competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal Generative AI roadmap. This book is designed for busy executives and can be read in less than two hours. For a more in-depth exploration of Generative AI for business, check out our book "Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype." Who this Book is For The core audience comprises senior executives like CEOs, Transformation advisors, strategic planners, technology heads, product leaders or functional unit heads keen on harnessing generative AI for a competitive edge but needing authoritative counsel consolidating recent lessons into a crisp actionable package to aid planning. Key Topics Covered - Understanding Generative AI: What it is, key capabilities and applications, strengths and limitations. - Strategic Alignment: Mapping generative AI to business goals, prioritizing high-impact use cases, managing risks. - Talent and Skills: Developing in-house capabilities through upskilling programs, attracting and retaining external AI talent. - Technology Integration: Assessing IT infrastructure readiness, optimizing make vs buy decisions for AI solutions. - Implementation and Scaling: Pilot testing for viability, expanding validated applications through metrics-driven scaling. - Risk Management and Ethics: Governing biases and reliability issues, safeguarding data privacy and security. - Organizational Change: Securing leadership commitment, preparing the workforce to adopt new AI-powered processes. - Continuous Improvement: Quantifying value through KPIs, optimizing models through responsive feedback loops. - Future-Proofing: Investing in R&D for sustained innovation, building agility to adapt to rapid AI progress. Featuring use studies, business scenarios, practical frameworks, and research insights from top consultancies and AI leaders, this book delivers a visionary yet pragmatic roadmap for AI transformation. A must-read guide for any organization looking to leverage generative AI for competitive advantage.