Generative Ai For Data Privacy

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Generative AI for Data Privacy: Unlocking Innovation, Protecting Rights

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 25 pages
Book Rating : 4./5 ( download)

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Book Synopsis Generative AI for Data Privacy: Unlocking Innovation, Protecting Rights by : Anand Vemula

Download or read book Generative AI for Data Privacy: Unlocking Innovation, Protecting Rights written by Anand Vemula and published by Anand Vemula. This book was released on with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: The exciting world of generative AI offers immense potential for innovation, but its reliance on vast amounts of data raises critical data privacy concerns. This book explores this dynamic landscape, equipping you to understand both the power and the potential pitfalls of generative AI. Part 1 dives into the core concepts of generative models, from GANs and VAEs to their diverse capabilities. It then explores the data privacy landscape, highlighting the importance of regulations like GDPR and CCPA in the age of AI. You'll gain insights into the specific challenges generative AI poses to data privacy, such as the risk of data leakage through seemingly anonymized training data. Part 2 delves deeper into these privacy risks. You'll learn how generative models can unintentionally reveal information from their training data and discover techniques to identify and mitigate these leakage risks. The book also explores the potential of synthetic data – artificially generated data that resembles real data but protects privacy. You'll understand the advantages and limitations of synthetic data and explore methods for ensuring privacy-preserving generation techniques. Part 3 focuses on solutions and building trust. It examines cutting-edge privacy-enhancing techniques for generative AI, such as differential privacy and federated learning. These techniques allow training on data while keeping it encrypted or distributed, safeguarding individual privacy. The book also emphasizes the importance of user control and transparency in generative AI development. You'll explore ways to empower users with control over their data and advocate for clear explanations of how generative models function. Part 4 explores the evolving legal and ethical landscape surrounding generative AI. You'll discover potential regulatory approaches for governing its use, emphasizing the need to balance innovation with comprehensive data privacy protection. Finally, the book looks towards the future, exploring the societal and ethical considerations of generative AI. You'll gain insights into potential biases in models and the impact of AI-generated content on creativity. The book concludes with recommendations for responsible development and use of generative AI, ensuring it thrives as a force for good that respects individual privacy. This comprehensive book empowers you to navigate the world of generative AI responsibly. Whether you're a developer, a data privacy professional, or simply curious about this transformative technology, "Generative AI for Data Privacy" provides the knowledge and tools you need to understand its potential and navigate its complexities.

Introducing MLOps

Author : Mark Treveil
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098116429
Total Pages : 171 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Introducing MLOps by : Mark Treveil

Download or read book Introducing MLOps written by Mark Treveil and published by "O'Reilly Media, Inc.". This book was released on 2020-11-30 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized

Generative AI and Implications for Ethics, Security, and Data Management

Author : Gomathi Sankar, Jeganathan
Publisher : IGI Global
ISBN 13 :
Total Pages : 468 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Generative AI and Implications for Ethics, Security, and Data Management by : Gomathi Sankar, Jeganathan

Download or read book Generative AI and Implications for Ethics, Security, and Data Management written by Gomathi Sankar, Jeganathan and published by IGI Global. This book was released on 2024-08-21 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Generative AI Security

Author : Ken Huang
Publisher : Springer Nature
ISBN 13 : 3031542525
Total Pages : 367 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Generative AI Security by : Ken Huang

Download or read book Generative AI Security written by Ken Huang and published by Springer Nature. This book was released on with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Utilizing Generative AI for Cyber Defense Strategies

Author : Jhanjhi, Noor Zaman
Publisher : IGI Global
ISBN 13 :
Total Pages : 546 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Utilizing Generative AI for Cyber Defense Strategies by : Jhanjhi, Noor Zaman

Download or read book Utilizing Generative AI for Cyber Defense Strategies written by Jhanjhi, Noor Zaman and published by IGI Global. This book was released on 2024-09-12 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Generative AI

Author : Numa Dhamani
Publisher : Simon and Schuster
ISBN 13 : 1633437191
Total Pages : 334 pages
Book Rating : 4.6/5 (334 download)

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Book Synopsis Introduction to Generative AI by : Numa Dhamani

Download or read book Introduction to Generative AI written by Numa Dhamani and published by Simon and Schuster. This book was released on 2024-02-27 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI tools like ChatGPT are amazing—but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you’ll learn: How large language models (LLMs) work How to integrate generative AI into your personal and professional workflows Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where AI is going Anyone who uses ChatGPT for even a few minutes can tell that it’s truly different from other chatbots or question-and-answer tools. Introduction to Generative AI guides you from that first eye-opening interaction to how these powerful tools can transform your personal and professional life. In it, you’ll get no-nonsense guidance on generative AI fundamentals to help you understand what these models are (and aren’t) capable of, and how you can use them to your greatest advantage. Foreword by Sahar Massachi. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Generative AI tools like ChatGPT, Bing, and Bard have permanently transformed the way we work, learn, and communicate. This delightful book shows you exactly how Generative AI works in plain, jargon-free English, along with the insights you’ll need to use it safely and effectively. About the book Introduction to Generative AI guides you through benefits, risks, and limitations of Generative AI technology. You’ll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law. Along the way, you’ll practice strategies for getting accurate responses and even understand how to handle misuse and security threats. What's inside How large language models work Integrate Generative AI into your daily work Balance innovation and responsibility About the reader For anyone interested in Generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models. The technical editor on this book was Maris Sekar. Table of Contents 1 Large language models: The power of AI Evolution of natural language processing 2 Training large language models 3 Data privacy and safety with LLMs 4 The evolution of created content 5 Misuse and adversarial attacks 6 Accelerating productivity: Machine-augmented work 7 Making social connections with chatbots 8 What’s next for AI and LLMs 9 Broadening the horizon: Exploratory topics in AI

Reshaping CyberSecurity With Generative AI Techniques

Author : Jhanjhi, Noor Zaman
Publisher : IGI Global
ISBN 13 :
Total Pages : 664 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Reshaping CyberSecurity With Generative AI Techniques by : Jhanjhi, Noor Zaman

Download or read book Reshaping CyberSecurity With Generative AI Techniques written by Jhanjhi, Noor Zaman and published by IGI Global. This book was released on 2024-09-13 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Privacy in the Age of Innovation

Author : Ranadeep Reddy Palle
Publisher : Apress
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (688 download)

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Book Synopsis Privacy in the Age of Innovation by : Ranadeep Reddy Palle

Download or read book Privacy in the Age of Innovation written by Ranadeep Reddy Palle and published by Apress. This book was released on 2024-08-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will help you comprehend the impact of artificial intelligence (AI) on information security, data privacy, and data security. The book starts by explaining the basics and setting the goals for a complete understanding of how AI, Information Security, Data Privacy, and Data Security all connect. Then, it gives you important information about the basics of AI, machine learning, and deep learning in simple terms. It also talks about the ethics of using AI in privacy and security, making sure you understand the power and responsibility that come with AI. Next, it takes you through the complex world of information security and data privacy. It covers everything from the current state of security to how AI can detect threats and protect privacy. Additionally, it delves into ethical considerations to ensure the responsible use of AI in managing data privacy. Later chapters discuss strategies and future trends in using AI for data security, finding the right balance between security and privacy, and giving useful advice for organizations. In the end, this book examines the current landscape and foresees the future, underscoring the vital importance of maintaining a balance between innovation and privacy in AI-powered security. What you will learn: How AI is being used to detect and prevent cyberattacks in real-time What are the AI-powered techniques for anonymizing and de-identifying data, What are the latest advancements in AI-powered privacy-enhancing technologies (PETs) How to find the right balance between security and privacy Who this book is for: Information security professionals, data scientists, and software developers seeking to gain an understanding of the latest trends and techniques in AI for information security

Exploring the Ethical Implications of Generative AI

Author : Ara, Aftab
Publisher : IGI Global
ISBN 13 :
Total Pages : 314 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Exploring the Ethical Implications of Generative AI by : Ara, Aftab

Download or read book Exploring the Ethical Implications of Generative AI written by Ara, Aftab and published by IGI Global. This book was released on 2024-04-04 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative Artificial Intelligence (AI), an ever-evolving technology, holds immense promise across various industries, from healthcare to content generation. However, its rapid advancement has also given rise to profound ethical concerns. Illicit black-market industries exploit generative AI for counterfeit imagery, and in educational settings, biases and misinformation perpetuate. These issues underscore the need to grapple with the risks accompanying generative AI integration. Exploring the Ethical Implications of Generative AI emerges as a wellspring of insight for discerning academic scholars. It sets the stage by acknowledging generative AI's multifaceted potential and its capacity to reshape industries. The book addresses these complex ethical concerns, offering a comprehensive analysis and providing a roadmap for responsible AI development and usage. Its intended audience spans business leaders, policymakers, scholars, and individuals passionate about the ethical dimensions of AI.

The Potential of Generative AI

Author : Divit Gupta
Publisher : BPB Publications
ISBN 13 : 935551672X
Total Pages : 418 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis The Potential of Generative AI by : Divit Gupta

Download or read book The Potential of Generative AI written by Divit Gupta and published by BPB Publications. This book was released on 2024-01-06 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveiling the power and potential of Generative AI for a limitless future KEY FEATURES ● Holistic and accessible journey into Generative AI. ● Indispensable guide for unleashing Generative AI potential. ● Transforming technology, business, art, and innovation, covering technological advancements and business optimization. DESCRIPTION The Potential of Generative AI invites you for a captivating journey into the revolutionary technology, where machines become co-creators and the line between imagination and reality blurs. You will learn how AI helps doctors, engineers, and scientists solve real-world problems. Next, you will explore use cases where ChatGPT can boost productivity and enhance creativity. The book explores the journey from the origins of this revolutionary technology to its cutting-edge applications. Discover how generative models like GANs and VAEs work, and familiarize yourself with the impact they are making in fields like healthcare, finance, and art. Through real-world case studies and engaging examples, you will witness AI generating life-saving drugs, composing music, and even designing innovative products. This book explores the cutting-edge capabilities and potential of generative AI in the tech landscape. It will help you discover how generative AI can unlock new opportunities and enhance business operations. WHAT YOU WILL LEARN ● Learn about the different types of generative models, how they work, and their impact across various industries including healthcare, finance, and entertainment. ● Explore the creative potential of generative AI in art, music, and design. ● Develop Generative Adversarial Networks (GANs), with a focus on their architecture, training process, and real-world applications. ● Build and deploy generative models, ensuring readers to leverage this powerful technology. ● Perfect the art of generating text, images, music, and even code with AI, utilize your creative potential. WHO THIS BOOK IS FOR This book is for artists, programmers, musicians, designers, writers, researchers, entrepreneurs, scientists, Machine Learning practitioners and dreamers of all sorts. Generative AI awaits and is ready to transform your craft and empower your vision. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Generative AI in Industries 3. Fundamentals of Generative Models 4. Applications Across Industries 5. Creative Expression with Generative AI 6. Generative AI in Business and Innovation 7. Deep Dive into GANs 8. Building and Deploying Generative Models

Responsible Implementations of Generative AI for Multidisciplinary Use

Author : Gaur, Loveleen
Publisher : IGI Global
ISBN 13 :
Total Pages : 472 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Responsible Implementations of Generative AI for Multidisciplinary Use by : Gaur, Loveleen

Download or read book Responsible Implementations of Generative AI for Multidisciplinary Use written by Gaur, Loveleen and published by IGI Global. This book was released on 2024-09-18 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative artificial intelligence (GAI) represents a profound leap in technological advancement, empowering machines to create content that closely mimics human creativity in various forms. As this technology continues to evolve and permeate multiple industries, it is essential to address the accompanying ethical considerations that arise from its use. Furthermore, there is a need for transparency in how GAI systems are developed and deployed to ensure that they are used responsibly and that their outputs are reliable and fair. Balancing innovation with ethical practices will be crucial to harnessing the benefits of GAI while mitigating its risks and ensuring its positive contribution to society. Responsible Implementations of Generative AI for Multidisciplinary Use highlights both the immense potential of GAI and the ethical challenges it presents. This book demystifies GAI by breaking down complex concepts into accessible language and offering real-world examples that illustrate the implications of its applications. Covering topics such as chatbots, ethical leadership, and the metaverse, this book is an excellent resource for technology professionals and developers, ethicists, policymakers, academicians, researchers, business leaders and executives, legal experts, students, educators, and more.

Generative AI and LLMs

Author : S. Balasubramaniam
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 311142507X
Total Pages : 290 pages
Book Rating : 4.1/5 (114 download)

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Book Synopsis Generative AI and LLMs by : S. Balasubramaniam

Download or read book Generative AI and LLMs written by S. Balasubramaniam and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-09-23 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM.

The Generative AI Risk Management Handbook

Author : Anand Vemula
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (273 download)

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Book Synopsis The Generative AI Risk Management Handbook by : Anand Vemula

Download or read book The Generative AI Risk Management Handbook written by Anand Vemula and published by Independently Published. This book was released on 2024-06-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Generative AI Risk Management Handbook" is a comprehensive guide for navigating the complex terrain of generative artificial intelligence (AI) and mitigating associated risks. Generative AI, which generates new content resembling existing data, holds immense potential across various industries but also poses ethical, security, and operational challenges. This handbook serves as a practical resource for individuals and organizations seeking to harness the power of generative AI responsibly. Through clear explanations, case studies, and actionable strategies, readers are equipped with the knowledge and tools needed to address key issues in generative AI risk management. The handbook begins by providing a foundational understanding of generative AI, exploring its applications, including text generation, image synthesis, and data augmentation. It then delves into the potential risks associated with generative AI, such as bias and fairness, data privacy concerns, and security vulnerabilities. Central to the handbook is a detailed examination of risk management strategies tailored specifically to generative AI. Readers learn how to identify biases in AI-generated content, implement privacy-preserving techniques, fortify AI systems against security threats, and ensure the reliability and robustness of generative models. Moreover, the handbook offers insights into regulatory compliance and ethical considerations, guiding readers through the evolving landscape of AI governance. Through collaborative approaches to risk management and engagement with stakeholders and policymakers, readers are empowered to navigate the ethical and legal complexities of working with generative AI. Whether you are a data scientist, AI researcher, business leader, or policymaker, "The Generative AI Risk Management Handbook" provides invaluable guidance for fostering responsible AI innovation. With its practical insights and actionable strategies, this handbook equips readers with the tools needed to navigate the challenges and opportunities of generative AI while upholding ethical standards and ensuring security and reliability.

Generative AI

Author : Martin Musiol
Publisher : John Wiley & Sons
ISBN 13 : 1394205945
Total Pages : 315 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Generative AI by : Martin Musiol

Download or read book Generative AI written by Martin Musiol and published by John Wiley & Sons. This book was released on 2023-01-08 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: An engaging and essential discussion of generative artificial intelligence In Generative AI: Navigating the Course to the Artificial General Intelligence Future, celebrated author Martin Musiol—founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys—delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space. Musiol analyzes complex and foundational topics in generative AI, breaking them down into straightforward and easy-to-understand pieces. You'll also find: Bold predictions about the future emergence of Artificial General Intelligence via the merging of current AI models Fascinating explorations of the ethical implications of AI, its potential downsides, and the possible rewards Insightful commentary on Autonomous AI Agents and how AI assistants will become integral to daily life in professional and private contexts Perfect for anyone interested in the intersection of ethics, technology, business, and society—and for entrepreneurs looking to take advantage of this tech revolution—Generative AI offers an intuitive, comprehensive discussion of this fascinating new technology.

Hyperautomation with Generative AI

Author : Navdeep Singh Gill
Publisher : BPB Publications
ISBN 13 : 9355518595
Total Pages : 368 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Hyperautomation with Generative AI by : Navdeep Singh Gill

Download or read book Hyperautomation with Generative AI written by Navdeep Singh Gill and published by BPB Publications. This book was released on 2023-09-26 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand how to leverage Hyperautomation and Generative AI to accelerate Business Transformation KEY FEATURES ● Explores a wide range of use cases and examples that demonstrate the diverse applications of Hyperautomation across industries, sectors, and specific departments. ● Familiarizes you with popular tools and platforms like UiPath, Automation Anywhere, and IBM. ● Discovers how existing organizations utilizing AI and RPA technologies can leverage Hyper automation to rapidly expand automation initiatives across various business verticals. ● Rise of Generative AI and its Tectonic Shift in industries and technologies. DESCRIPTION Hyperautomation and Generative AI, when combined, can create powerful new capabilities for businesses. If you are a business leader looking to improve your productivity, efficiency, and customer satisfaction by adopting hyperautomation and generative AI technologies, then this book is for you. This book provides an introduction to hyperautomation, highlighting its key components and providing guidance on how organizations can implement it to streamline everyday business operations. The book covers a comprehensive range of use cases and examples that demonstrate the diverse applications of hyperautomation across industries, sectors, and specific departments within companies. It also familiarizes you with popular tools and platforms like UiPath, Automation Anywhere, and IBM, enabling them to make informed decisions when selecting the appropriate technology for their digital transformation endeavors. Lastly, the book illustrates how existing organizations that are already utilizing AI and RPA technologies can leverage hyperautomation to rapidly expand their automation initiatives throughout various business verticals. By the end of the book, you will have a deep understanding of the potential of hyperautomation and generative AI to transform businesses. WHAT YOU WILL LEARN ● Understand the importance of developing the necessary talent, skillset, and IT infrastructure for successful Hyperautomation implementation. ● Explore different strategies for scaling automation initiatives across different business verticals. ● Understand how to solve diverse business problems using Hyperautomation through a high-level plan. ● Understanding the essential technologies like AI, machine learning, and deep learning and their contributions to Hyperautomation. ● Understand the benefits of using Hyperautomation with Generative AI. WHO THIS BOOK IS FOR This book is for professionals who are interested in automation and Generative AI. It covers the development and execution of diverse business processes, and is relevant to a wide range of roles, including digital transformation consultants, CxOs, technical architects, AI engineers, enterprise architects, RPA engineers, and automation engineers. TABLE OF CONTENTS Section I: Automation and Its Necessity 1. The Realism of Hyperautomation 2. Existence of Different Automations 3. Fundamentals of RPA Tools and Platforms 4. Amalgam of Hyperautomation and RPA Section II : Evolution of Automation to Hyperautomation via RPA 5. Devising Hyperautomation Solutions 6. Amalgam of Hyperautomation and Artificial Intelligence 7. Bridging AI with Humans 8. Impact of Machine Learning with Hyperautomation 9. Operationalizing Hyperautomation 10. Successful Use Cases of Hyperautomation Section III: Emergence of Generative AI and Its Collaboration with Hyperautomation 11. Generative AI and Hyperautomation

The Complete Obsolete Guide to Generative AI

Author : David Clinton
Publisher : Simon and Schuster
ISBN 13 : 1638355584
Total Pages : 238 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis The Complete Obsolete Guide to Generative AI by : David Clinton

Download or read book The Complete Obsolete Guide to Generative AI written by David Clinton and published by Simon and Schuster. This book was released on 2024-09-17 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last book on AI you’ll ever need. We swear! AI technology moves so fast that this book is probably already out of date! But don’t worry—The Complete Obsolete Guide to Generative AI is still an essential read for anyone who wants to make generative AI into a tool rather than a toy. It shows you how to get the best out of AI no matter what changes come in the future. You’ll be able to use common automation and scripting tools to take AI to a new level, and access raw (and powerful) GPT models via API. Inside The Complete Obsolete Guide to Generative AI you will find: • Just enough background info on AI! What an AI model is how it works • Ways to create text, code, and images for your organization's needs • Training AI models on your local data stores or on the internet • Business intelligence and analytics uses for AI • Building your own custom AI models • Looking ahead to the future of generative AI Where to get started? How about creating exciting images, video, and even audio with AI. Need more? Learn to harness AI to speed up any everyday work task, including writing boilerplate code, creating specialized documents, and analyzing your own data. Push beyond simple ChatGPT prompts! Discover ways to double your productivity and take on projects you never thought were possible! AI—and this book—are here to show you how. About the technology Everything you learn about Generative AI tools like Chat-GPT, Copilot, and Claude becomes obsolete almost immediately. So how do you decide where to spend your time—and your company’s money? This entertaining and unbelievably practical book shows you what you can (and should!) do with AI now and how to roll with the changes as they happen. About the book The Complete Obsolete Guide to Generative AI is a lighthearted introduction to Generative AI written for technology professionals and motivated AI enthusiasts. In it, you’ll get a quick-paced survey of AI techniques for creating code, text, images, and presentations, working with data, and much more. As you explore the hands-on exercises, you’ll build an intuition for how Generative AI can transform your daily work and communication—and maybe even learn how to make peace with your new robot overlords. What's inside • The big picture of Generative AI tools and tech • Creating useful text, code, and images • Writing effective prompts • AI-driven data analytics About the reader Written for developers, admins, and other IT pros. Some examples use simple Python code. About the author David Clinton is an AWS Solutions Architect, a Linux server administrator and a world-renowned expert on obsolescence. The technical editor on this book was Maris Sekar. Table of Contents 1 Understanding generative AI basics 2 Managing generative AI 3 Creating text and code 4 Creating with media resources 5 Feeding data to your generative AI models 6 Prompt engineering: Optimizing your experience 7 Outperforming legacy research and learning tools 8 Understanding stuff better 9 Building and running your own large language model 10 How I learned to stop worrying and love the chaos 11 Experts weigh in on putting AI to work A Important definitions and a brief history B Generative AI resources C Installing Python

Legal & Humble AI

Author : David King
Publisher : Ingene Publishers
ISBN 13 : 1909524999
Total Pages : 99 pages
Book Rating : 4.9/5 (95 download)

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Book Synopsis Legal & Humble AI by : David King

Download or read book Legal & Humble AI written by David King and published by Ingene Publishers. This book was released on 2024-02-25 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: In "Legal and Humble AI: Addressing the Legal, Ethical, and Societal Dilemmas of Generative AI," the author takes a deep dive into the murky world of algorithmic bias. With the rise of AI technology, it's become increasingly clear that our legal and ethical frameworks are struggling to keep up. This book confronts the challenges head-on, offering insights into the complex intersection of law, ethics, and society when it comes to generative AI. From discriminatory hiring practices to biased medical diagnoses, AI algorithms have been found to perpetuate and even exacerbate existing social inequalities. The author explores the ways in which our legal system can adapt to this new reality, with an eye toward creating a more equitable future. Through real-world examples and thought-provoking analysis, "Legal and Humble AI" provides a compelling look at the implications of unchecked AI power. With accessible language and a keen understanding of the subject matter, this book is a must-read for anyone interested in the intersection of technology and society. Whether you're a legal professional, AI developer, or concerned citizen, "Legal and Humble AI" offers valuable insights into the challenges and opportunities that arise from the widespread use of generative AI. This book is a call to action, urging us to confront the ethical and legal dilemmas posed by AI technology, and to work toward a more just and equitable future.