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R 297.00
Countering Disinformation in the Era of Generative AI
This book offers a timely and comprehensive exploration of how generative AI technologies are reshaping the landscape of online disinformation, dramatically lowering the barriers to creating realistic synthetic text, imagery, and audio at scale. While online disinformation has long challenged societies and individuals, the acceleration of generative AI has intensified these risks, making traditional detection and protection measures increasingly inadequate. In response, researchers are developing advanced AI-driven tools and methods to detect, mitigate, and study the rapidly evolving tactics of disinformation campaigns, with emphasis on algorithmic detection, media verification, and the broader implications for information integrity. Countering Disinformation in the Era of Generative AI brings together leading experts to present both recent misuse cases -- such as synthetic media in political manipulation and AI-generated false narratives -- and state-of-the-art countermeasures, including trustworthy AI solutions co-created with media professionals. The book features thorough coverage of emerging methods for detecting disinformation and synthetic media and analyzing online information environments to. Drawing upon interdisciplinary research and large-scale initiatives such as the Horizon Europe vera.ai project, this volume addresses the needs of diverse stakeholders -- from researchers and journalists to policymakers -- offering not only technical depth for specialists, but also an accessible overview of the latest advances in AI-powered disinformation defense.
R 8,652.56
R 608.00
Practical Guide to Integrating Generative AI into HR Management
This book is a practical guide to the integration of generative AI into human resources, covering use cases across recruitment, onboarding, training, and retention. It offers strategic guidance, ethical frameworks, and technical insights to help organisations deploy generative AI effectively while safeguarding fairness, privacy, and compliance. It covers AI-driven applications in talent acquisition, onboarding, employee engagement, career development, and decision-making, while addressing key concerns such as algorithmic bias, data privacy, and regulatory compliance. With practical case studies and deployment templates, the book provides a structured approach to evaluating and integrating generative AI tools within HR systems. From resume screening to personalised learning paths and predictive analytics, this book bridges the gap between AI technologies and HR operations to help organisations build agile, ethical, and employee-centric workplaces.• Examines generative AI’s applications across recruitment, onboarding, L&D, engagement, and retention• Provides strategic frameworks for integrating AI into HR ecosystems• Includes case studies and practical deployment examples from real organizations• Addresses key issues of AI bias, explainability, data privacy, and compliance• Offers guidance on selecting and evaluating HR-specific AI tools• Explains core AI concepts for both technical and non-technical HR professionals• Includes future-focused insights into AI-driven workforce planning and employee experience designThis book is for HR professionals, business leaders, AI developers, and organizational strategists seeking to understand, implement, and manage generative AI solutions in the HR domain.
R 4,066.00
Rethinking Writing Education in the Age of Generative AI
Bringing together leading scholars and practitioners, Rethinking Writing Education in the Age of Generative AI offers a timely exploration of pressing issues in writing pedagogies within an increasingly AI-mediated educational landscape.From conceptual and empirical work to theory-guided praxis, the book situates the challenges we face today within the historical evolution of writing education and our evolving relationship with AI technologies. Covering a range of contexts such as L2/multilingual writing, first-year writing, writing centers, and writing program administration and faculty development, the book examines various AI-informed writing pedagogies and practices. Drawing on interdisciplinary perspectives from writing studies, education, and applied linguistics, the book bridges theory and practice to address critical questions of innovation, ethics, and equity in AI-supported teaching.This book is essential for writing educators and researchers looking to leverage AIs to facilitate the teaching and learning of writing in critical and transformative ways.Chapters: Chapter 6 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.
R 9,324.59
R 544.90
R 916.00
R 489.00
Transforming Financial Services with Generative AI
Generative AI (GenAI) is revolutionizing the financial services sector (FSS), offering new ways to enhance efficiency, improve customer experiences, and streamline operations. This book is your comprehensive guide to understanding and implementing GenAI within FSS. Grounded in real-world use cases, this book moves from fundamentals to boardroom-ready execution. You'll start with the core concepts behind AI, machine learning, and GenAI, then pivot into the challenges of FSS: intense regulatory scrutiny, evolving fraud threats, operational complexity, and rising expectations for personalized, always-on service. You'll learn a practical blueprint for GenAI adoption, including strategy, governance, risk controls, data readiness, and culture--through the lens of executives tasked with delivering measurable value responsibly. From there, you'll get hands-on experience building GenAI systems: prompt design, evaluation, Retrieval-Augmented Generation (RAG), fine-tuning, and agentic workflows. You'll see how these capabilities power mission-critical functions across the enterprise: Finally, you'll operationalize all of it with modern FMOps/LLMOps practices--security, privacy, performance, cost management, monitoring, and continuous improvement--so pilots become production systems that scale. The closing chapter distills emerging trends, from autonomous agents to domain-specialized models, and lays out next steps so your organization can adopt GenAI with confidence, compliance, and a clear return on investment. Whether you're a CIO crafting a roadmap, a product leader shipping AI features, a data scientist building RAG pipelines, or a risk and compliance executive seeking control and clarity, this book is your end-to-end guide to deploying GenAI that is safe, explainable, and enterprise-grade. What You Will Learn Develop a strategic blueprint for GenAI adoption, including implementation methodologies, risk mitigation, and best practices for financial institutions Master the core components of building GenAI applications, from prompt engineering and model evaluation to RAG and Agentic AI Discover how GenAI transforms risk and compliance management, including applications in Anti-Money Laundering (AML), trade surveillance, and regulatory reporting Explore practical GenAI use cases across retail banking, investment banking, and wealth management, and learn about successful operational deployment Who This Book Is For Data scientists, AI professionals, and financial services experts interested in leveraging generative AI within the financial sector.
R 1,368.00
R 519.00
R 306.00
Data Lakehouse Revolution
We are racing toward a new kind of AI--faster, smarter, and more connected than ever. At the heart of it is the Data Lakehouse, and Databricks is the engine powering the transformation. Whether you're a data scientist training models, an engineer scaling pipelines, or an architect modernizing your stack, this book gives you what you need to stay ahead. Inside, you'll understand how to unlock the full potential of Machine Learning and Generative AI (GenAI) using Databricks--no fluff, just real tools, real strategies, and real results. From MLFlow and AutoML to Unity Catalog, Retrieval Augment Generation (RAG), and Vector Search, you'll get a complete blueprint for building intelligent systems that actually work in production. With step-by-step labs, industry case studies, and expert tips from someone who's lived through the entire evolution of enterprise AI, this book is your guide to mastering what's next. If you're serious regarding building AI that matters, this is where your journey begins. What You'll Learn Build full-stack ML and GenAI solutions on Databricks Train and track models with MLFlow, AutoML, and tuning strategies Secure and govern data with Unity Catalog Apply explainable, ethical AI techniques Deploy and monitor ML models in real-world pipelines Use RAG and vector search to power GenAI applications Gain confidence with hands-on labs and real enterprise use cases Who This Book Is For Azure administrators, data architects, and data engineers
R 1,368.00
R 916.00
AI-Ready Data Blueprints
Companies innovating with generative AI understand that having the right data foundation is critical for success and profitability. To best position themselves for long-term success, organizations must prioritize investments in data and AI governance. AI-Ready Data Blueprints is your map to connecting data strategy, GenAI, and ethical practices to build and scale truly effective solutions. Taking a comprehensive, cloud-agnostic approach focused on real-world business challenges, seasoned data and AI experts Navnit Shukla, Kien Pham, Srikanth Sopirala, and Harsha Tadiparthi share actionable insights to guide you in designing and implementing effective data-centric GenAI systems. Whether you're new to GenAI or are already focusing on optimizing it for accuracy, speed, or both, the principles shared in this book will empower you to excel in all your AI endeavors. Identify the key elements of a solid data foundation for generative AIApply data governance and orchestration techniques to ensure high data quality, access control, and proper data lineage for reliable AI systemsOptimize GenAI applications through prompt engineering, fine-tuning, and retrieval-augmented generationImplement security, compliance, and governance measures, including responsible AI practices, transparency, and more
R 1,978.00
R 306.00
Traditional vs Generative AI Pentesting
Traditional vs Generative AI Pentesting: A Hands-On Approach to Hacking explores the evolving landscape of penetration testing, comparing traditional methodologies with the revolutionary impact of Generative AI. This book provides a deep dive into modern hacking techniques, demonstrating how AI-driven tools can enhance reconnaissance, exploitation, and reporting in cybersecurity assessments.Bridging the gap between manual pentesting and AI automation, this book equips readers with the skills and knowledge to leverage Generative AI for more efficient, adaptive, and intelligent security testing. By blending practical case studies, hands-on exercises, and theoretical insights, it guides cybersecurity professionals, researchers, and students through the next generation of offensive security strategies.The book offers comprehensive coverage of key topics, including:Traditional vs AI-Driven Pentesting: Understanding the evolution of security testing methodologiesBuilding an AI-Powered Pentesting Lab: Leveraging Generative AI tools for reconnaissance and exploitationGenAI in Social Engineering and Attack Automation: Exploring AI-assisted phishing, deepfake attacks, and deception tacticsPost-Exploitation and Privilege Escalation with AI: Enhancing persistence and lateral movement techniquesAutomating Penetration Testing Reports: Utilizing AI for streamlined documentation and risk analysisThis book is an essential resource for ethical hackers, cybersecurity professionals, and academics seeking to explore the transformative role of Generative AI in penetration testing. It provides practical guidance, in-depth analysis, and cutting-edge techniques for mastering AI-driven offensive security.
R 6,712.01
R 489.00
Generative AI for Web Engineering Models
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. Through insightful analysis and real-world examples, this book equips readers with the knowledge and tools to navigate the complexities of web engineering in the AI era. It offers practical strategies for leveraging Generative AI to develop more efficient, scalable, and secure web-based solutions. As the digital landscape continues to evolve, Generative AI for Web Engineering Models is a valuable resource for those seeking to stay at the forefront of web technology.
R 18,321.25
R 305.00
R 570.00
Rethinking Writing Education in the Age of Generative AI
Bringing together leading scholars and practitioners, Rethinking Writing Education in the Age of Generative AI offers a timely exploration of pressing issues in writing pedagogies within an increasingly AI-mediated educational landscape.From conceptual and empirical work to theory-guided praxis, the book situates the challenges we face today within the historical evolution of writing education and our evolving relationship with AI technologies. Covering a range of contexts such as L2/multilingual writing, first-year writing, writing centers, and writing program administration and faculty development, the book examines various AI-informed writing pedagogies and practices. Drawing on interdisciplinary perspectives from writing studies, education, and applied linguistics, the book bridges theory and practice to address critical questions of innovation, ethics, and equity in AI-supported teaching.This book is essential for writing educators and researchers looking to leverage AIs to facilitate the teaching and learning of writing in critical and transformative ways.Chapters: Chapter 6 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.
R 2,629.25
Practical Guide to Integrating Generative AI into HR Management
This book is a practical guide to the integration of generative AI into human resources, covering use cases across recruitment, onboarding, training, and retention. It offers strategic guidance, ethical frameworks, and technical insights to help organisations deploy generative AI effectively while safeguarding fairness, privacy, and compliance. It covers AI-driven applications in talent acquisition, onboarding, employee engagement, career development, and decision-making, while addressing key concerns such as algorithmic bias, data privacy, and regulatory compliance. With practical case studies and deployment templates, the book provides a structured approach to evaluating and integrating generative AI tools within HR systems. From resume screening to personalised learning paths and predictive analytics, this book bridges the gap between AI technologies and HR operations to help organisations build agile, ethical, and employee-centric workplaces.• Examines generative AI’s applications across recruitment, onboarding, L&D, engagement, and retention• Provides strategic frameworks for integrating AI into HR ecosystems• Includes case studies and practical deployment examples from real organizations• Addresses key issues of AI bias, explainability, data privacy, and compliance• Offers guidance on selecting and evaluating HR-specific AI tools• Explains core AI concepts for both technical and non-technical HR professionals• Includes future-focused insights into AI-driven workforce planning and employee experience designThis book is for HR professionals, business leaders, AI developers, and organizational strategists seeking to understand, implement, and manage generative AI solutions in the HR domain.
R 10,257.00
R 1,544.72
R 1,160.00
R 580.00
R 305.00
R 1,594.05
Traditional vs Generative AI Pentesting
Traditional vs Generative AI Pentesting: A Hands-On Approach to Hacking explores the evolving landscape of penetration testing, comparing traditional methodologies with the revolutionary impact of Generative AI. This book provides a deep dive into modern hacking techniques, demonstrating how AI-driven tools can enhance reconnaissance, exploitation, and reporting in cybersecurity assessments.Bridging the gap between manual pentesting and AI automation, this book equips readers with the skills and knowledge to leverage Generative AI for more efficient, adaptive, and intelligent security testing. By blending practical case studies, hands-on exercises, and theoretical insights, it guides cybersecurity professionals, researchers, and students through the next generation of offensive security strategies.The book offers comprehensive coverage of key topics, including:Traditional vs AI-Driven Pentesting: Understanding the evolution of security testing methodologiesBuilding an AI-Powered Pentesting Lab: Leveraging Generative AI tools for reconnaissance and exploitationGenAI in Social Engineering and Attack Automation: Exploring AI-assisted phishing, deepfake attacks, and deception tacticsPost-Exploitation and Privilege Escalation with AI: Enhancing persistence and lateral movement techniquesAutomating Penetration Testing Reports: Utilizing AI for streamlined documentation and risk analysisThis book is an essential resource for ethical hackers, cybersecurity professionals, and academics seeking to explore the transformative role of Generative AI in penetration testing. It provides practical guidance, in-depth analysis, and cutting-edge techniques for mastering AI-driven offensive security.
R 2,745.43
Generative AI with SAP and Amazon Bedrock
Explore Generative AI and understand its key concepts, architecture, and tangible business use cases. This book will help you develop the skills needed to use SAP AI Core service features available in the SAP Business Technology Platform.You’ll examine large language model (LLM) concepts and gain the practical knowledge to unleash the best use of Gen AI. As you progress, you’ll learn how to get started with your own LLM models and work with Generative AI use cases. Additionally, you’ll see how to take advantage Amazon Bedrock stack using AWS SDK for ABAP.To fully leverage your knowledge, Generative AI with SAP and Amazon Bedrock offers practical step-by-step instructions for how to establish a cloud SAP BTP account model and create your first GenAIartifacts. This work is an important prerequisite for those who want to take full advantage of generative AI with SAP.What You Will LearnMaster the concepts and terminology of artificial intelligence and GenAIUnderstand opportunities and impacts for different industries with GenAIBecome familiar with SAP AI Core, Amazon Bedrock, AWS SDK for ABAP and develop your firsts GenAI projectsAccelerate your development skillsGain more productivity and time implementing GenAI use casesWho this Book Is ForAnyone who wants to learn about Generative AI for Enterprise and SAP practitioners who want to take advantage of AI within the SAP ecosystem to support their systems and workflows.
R 1,026.00
R 641.00
Generative AI and Internet of Medical Things
Internet of Medical Things (IoMT) is playing a significant role in shaping the healthcare industry. The book discusses the latest trends and transitions in the field of the Internet of Medical Things (IoMT) to empower medical professionals, caregivers, and surgeons. It addresses how various physical parameters of human beings, such as heartbeat rate, sugar level, blood pressure, temperature, and air quality, are captured through a variety of sensors. It demonstrates how medical instruments, such as scanners, robots, appliances, cameras, handhelds, wearables, and other devices, can be integrated with cloud-hosted software applications, analytics platforms, digital twins, databases, and AI models to gain the necessary intelligence for exhibiting intelligent behaviors. It shows how AI can generate highly realistic data from a sample set of input data and assist in producing knowledge from input raw data, enabling medical professionals to perform real-time monitoring and intelligent diagnostics.
R 6,805.00
Generative Engine Optimization: Sichtbar in KI-Systemen
Dieses Essential erklärt, wie Unternehmen in der neuen Ära der KI-Systeme online sichtbar bleiben. Denn: ChatGPT, AI Mode oder Microsoft Copilot verändern die Art und Weise, wie Menschen nach Informationen suchen - und stellen Unternehmen vor einen grundlegenden Wandel. Wer nicht in KI-Antworten auftaucht, verliert Reichweite und Relevanz.Die Autoren führen in die neue Disziplin Generative Engine Optimization (GEO) ein - die die klassische Suchmaschinenoptimierung (SEO) ersetzen wird. Sie zeigen, wie Marken in KI-Antworten auftauchen, welche Faktoren die Sichtbarkeit beeinflussen und wie sich Erfolge messen lassen.Ein kompaktes Fachbuch für Marketingverantwortliche und Entscheider*innen, die verstehen wollen, wie ihr Unternehmen in KI-Systemen präsent bleibt.
R 694.88
Hybrid Mind
The Hybrid Mind: The Human-AI Convergence explores the transformative potential of humans and AI systems collaborating to revolutionize risk management, oversight, and adaptive governance. Introducing Agentic AI—systems capable of autonomous decision-making while preserving human authority—the book outlines a hybrid inference architecture that combines Large and Small Language Models, machine learning, and probabilistic reasoning.Structured around the OODAF (Observe, Orient, Decide, Act, Feedback) loop, the book offers accessible explanations of intelligent system behavior and its implications. Use cases in finance, healthcare, cybersecurity, and SaaS environments demonstrate how hybrid intelligence enables scalable yet accountable operations, providing practical insights for the AI era.It introduces original frameworks, including Human ETHOS, the Experimentum Crucis Technology Matrix (ECTM), and the Hybrid Audit Model (HAM), that reimagine ethical design, system evaluation, and real-time auditability. Chapters explore topics such as feedback architecture, ethical interruption, decision traceability, and context framing, critical elements for governing AI with integrity.Designed for business leaders, technologists, and policymakers, The Hybrid Mind serves as both a strategic guide and a moral blueprint for the AI era. It equips readers to lead in a world where intelligence is shared, automation is consequential, and responsibility must be architected, not assumed.
R 2,985.31
R 945.00
