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Building Trust in the Generative Artificial Intelligence Era
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.
R 9,320.85
R 611.00
Generative AI for Cloud Solutions
Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI Key FeaturesGain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloudUnderstand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AIPeek into the future to explore emerging trends like multimodal AI and autonomous agentsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGenerative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms.This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements.By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.What you will learnGet started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function togetherUnderstand how we started applying NLP to concepts like transformersGrasp the process of fine-tuning and developing apps based on RAGExplore effective prompt engineering strategiesAcquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIsDiscover how to scale and secure GenAI systems, while understanding the principles of responsible AIWho this book is forThis artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.
R 1,531.00
HumanCorps
HumanCorps delivers a practical blueprint for leaders to transform their organizations from outdated industrial-age models into adaptive, human-centered enterprises that thrive in the AI-powered Knowledge Age.Thought-provoking and timely, the book offers a comprehensive framework that combines compelling case studies, expert interviews, and actionable strategies for organizational transformation. It provides detailed implementation guidance, diagnostic tools, and step-by-step approaches to building resilient businesses that prioritize human potential while leveraging technology. Each chapter includes visual models, executive action checklists, and structured summaries that translate complex concepts into immediately applicable solutions for real-world challenges. Ideal for forward-thinking executives, senior managers, and transformation leaders, this book is tailored for decision-makers in private and public sectors who are navigating systemic upheaval.Whether you’re a CEO, HR director, or strategy leader, you need these insights and tools to guide your organization into a thriving future.
R 8,572.00
AI-Driven Digital Transformation
This edited volume explores AI-driven digital transformation from the perspective of a well-established higher education institution. Featuring 23 chapters organized into six thematic areas – Decision Support, Data Processing, Marketing and Product Development, Supply Chains, Finance, and Foundational Issues – it provides practical examples of how business school departments can implement AI to foster innovation.Each chapter presents accessible case studies demonstrating AI applications in business, highlighting both benefits and risks. The volume bridges the gap between AI advancement and practical industry needs, offering actionable insights for integrating AI into decision-making, organizational processes, and curriculum development. Key contributions include demonstrating AI as a strategic enabler, positioning business schools as catalysts for change, recognizing sector-specific impacts, emphasizing ethical foundations, and promoting collaboration between academia, industry, and policymakers. This comprehensive resource equips educators and decision-makers with the knowledge and methods necessary to thrive in the era of AI-driven innovation and serves as a strategic blueprint for business schools to lead AI-driven transformation while maintaining ethical considerations.AI-Driven Digital Transformation will appeal to scholars and students of AI, technology, innovation management, and business education. It will also be of interest to business school leaders responsible for institutional strategies, educators creating study programs, curriculum specialists, and business leaders seeking AI implementation guidance within their expertise areas.
R 9,325.83
R 814.00
Procedural Content Generation via Machine Learning
This second edition updates and expands upon the first beginner-focused guide to Procedural Content Generation via Machine Learning (PCGML), which is the use of computers to generate new types of content for video games (game levels, quests, characters, etc.) by learning from existing content. The authors survey current and future approaches to generating video game content and illustrate the major impact that PCGML has had on video games industry. In order to provide the most up-to-date information, this new edition incorporates the last two years of research and advancements in this rapidly developing area. The book guides readers on how best to set up a PCGML project and identify open problems appropriate for a research project or thesis. The authors discuss the practical and ethical considerations for PCGML projects and demonstrate how to avoid the common pitfalls. This second edition also introduces a new chapter on Generative AI, which covers the benefits, risks, and methods for applying pre-trained transformers to PCG problems.
R 1,649.00
System-2 Reasoning: from Semantic Anchoring to Causal Intelligence, Volume 2
Large language models can write poetry, pass bar exams, and generate fluent code. Yet they continue to fail in the domains where intelligence must be accountable: distinguishing causation from correlation, recognizing when evidence is insufficient, preserving commitments over time,and correcting their own reasoning failures. This book argues that the transition from pattern matching to genuine reasoning requires a System-2 layer grounded in coordinated diagnosis, audit, causal validation, memory, and meta-cognitive control. The volume develops this architecture from first principles through operational protocols. Semantic Anchoring (UCCT) demonstrates how contextual constraints can bind latent model representations into governed reasoning processes rather than prior-driven completion. Regulated Causal Anchoring (RCA) and RAudit diagnose sycophancy, pathological skepticism, and trace-output inconsistency without relying exclusively on ground-truth supervision. The Causal Abstraction Bridge and the CausalTSK benchmark reveal where models collapse from interventional and counterfactual reasoning back into associative prediction. Epistemic Regret Minimization (ERM) identifies causal shortcuts and failures of warranted inference, while Reinforcement Learning from Epistemic Regret (RLER) transforms those reasoning failures into a structured learning signal. Trivium introduces temporal accountability through a Causal Transaction Log, and Quadrivium integrates contextual, causal, temporal, and meta-cognitive regulation into a unified System-2 MACI architecture. The author's central thesis is that Artificial General Intelligence (AGI) will not emerge from scaling monolithic pattern-completion systems alone. AGI will require architectures capable of explaining why an answer is warranted, refusing conclusions when evidence remains indeterminate, and improving through epistemic failure. Written for researchers, advanced students, and practitioners, this book presents a framework for AI systems that are not merely impressive, but auditable, corrigible, and trustworthy. It is suitable for graduate-level courses in artificial intelligence, multi-agent systems, causal reasoning, and trustworthy AI.
R 2,929.00
HumanCorps
HumanCorps delivers a practical blueprint for leaders to transform their organizations from outdated industrial-age models into adaptive, human-centered enterprises that thrive in the AI-powered Knowledge Age.Thought-provoking and timely, the book offers a comprehensive framework that combines compelling case studies, expert interviews, and actionable strategies for organizational transformation. It provides detailed implementation guidance, diagnostic tools, and step-by-step approaches to building resilient businesses that prioritize human potential while leveraging technology. Each chapter includes visual models, executive action checklists, and structured summaries that translate complex concepts into immediately applicable solutions for real-world challenges. Ideal for forward-thinking executives, senior managers, and transformation leaders, this book is tailored for decision-makers in private and public sectors who are navigating systemic upheaval.Whether you’re a CEO, HR director, or strategy leader, you need these insights and tools to guide your organization into a thriving future.
R 1,795.00
Return on Intelligence
A call to lead with empathy, this book redefines what transformation means in the age of artificial intelligence. Where most organizations still chase automation and efficiency, Kristin Milchanowski, PhD, reveals a deeper truth: intelligence is not a tool. It is infrastructure. Cutting through the hype and ambiguity that surrounds AI, she bridges the gap between technological deployment and meaningful transformation.Through 43 governing principles, Milchanowski demonstrates how AI agents can reshape decisions, orchestrate resources, and embed permanence into complex enterprises. She introduces two transformative metrics that quantify how well institutions integrate intelligent systems into their workflows and governance. Drawing from global leadership experience, Milchanowski argues that innovation without empathy is merely efficiency without trust. True intelligence must be earned through ethical design, transparent implementation, and human-centered leadership. With precision and moral clarity, she shows how organizations can move from pilots to permanence, from experiments to ecosystems. The real return, Milchanowski concludes, is measured not in algorithms, but in the trust we build, the empathy we embed, and the promises we keep.This book is written for senior executives, transformation leaders, policymakers, and technologists who are navigating the frontier of AI adoption, as well as MBA, AI strategy, and leadership students.
R 1,954.21
Return on Intelligence
A call to lead with empathy, this book redefines what transformation means in the age of artificial intelligence. Where most organizations still chase automation and efficiency, Kristin Milchanowski, PhD, reveals a deeper truth: intelligence is not a tool. It is infrastructure. Cutting through the hype and ambiguity that surrounds AI, she bridges the gap between technological deployment and meaningful transformation.Through 43 governing principles, Milchanowski demonstrates how AI agents can reshape decisions, orchestrate resources, and embed permanence into complex enterprises. She introduces two transformative metrics that quantify how well institutions integrate intelligent systems into their workflows and governance. Drawing from global leadership experience, Milchanowski argues that innovation without empathy is merely efficiency without trust. True intelligence must be earned through ethical design, transparent implementation, and human-centered leadership. With precision and moral clarity, she shows how organizations can move from pilots to permanence, from experiments to ecosystems. The real return, Milchanowski concludes, is measured not in algorithms, but in the trust we build, the empathy we embed, and the promises we keep.This book is written for senior executives, transformation leaders, policymakers, and technologists who are navigating the frontier of AI adoption, as well as MBA, AI strategy, and leadership students.
R 9,302.48
Emergence
Navigate leadership transformation when Industrial Age strategies no longer apply In Emergence: How Leaders Break Free from Outdated Thinking, Jennifer Vessels — CEO of Next Step and the change agent who led Adobe’s shift from packaged software to cloud subscriptions, from during which its market value grew from $16 billion to $250 billion — delivers a proven approach for leading organizations through rapid, converging disruptions in which traditional planning approaches consistently fail to produce results. The book introduces the P.E.A.C.E. compass — Purpose, Exploration, Action, Collaboration, Empowerment — a structured approach for thriving when predetermined paths disappear. Drawing on transformation work with Adobe, Cisco, Novartis, Schneider Electric, and IKEA, Vessels shows how to integrate AI with human talent, empower multi-generational teams, and build organizations that are ready for continuous change. Readers will also discover: Strategies for navigating five converging forces — Speed, Confidence, Meaning, Pressure, and Human/AI disruption — reshaping the leadership landscapePractical AI integration approaches used within global enterprises including Van Ameyde, IKEA, and BarloworldHow to shift from fear-based decision-making to intuition-driven, experiential leadership that produces measurable organizational resultsTiger team structures and empowerment approaches that release collective capability at scale across large organizations The story of Marie, a young woman who navigated wartime Europe on purpose and confidence alone — proof that the P.E.A.C.E. principles are timeless and accessible to anyone, regardless of title or authorityLessons from IKEA’s six-year Korean market entry and Novartis’s approach to restructuring every six months Designed for CEOs, executives, managers, and anyone struggling to keep up, Emergence provides the approach leaders need when markets shift faster than traditional planning allows, with tested lessons from engagements with Adobe, Cisco, Google, IKEA, Microsoft, and Novartis. The future is emerging. Take action now — before it moves without you. “Jennifer Vessels has captured the new reality but also powerfully lays out how we can navigate productive ways into the future.” Stuart Crainer, cofounder Thinkers50
R 618.00
Generative AI: The Insights You Need from Harvard Business Review
The future of AI is here.The world is stunned and transfixed by the marvel (and possible menace) of ChatGPT and other generative AI tools. It's clear that they will transform the business landscape—exactly when and how much remain to be seen. Meanwhile, your smartest competitors are already navigating the risks and reaping the rewards of this new technology. They're trying out new business models around generating text and code at astonishing speed. They're automating customer interactions in ways that were never before possible. And they're augmenting human creativity to innovate in new ways. How can you take advantage of generative AI and avoid having your business disrupted?Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of this new technology, pick the right generative AI projects, and reinvent your business for the new age of AI.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues—blockchain, cybersecurity, AI, and more—each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas—and prepare you and your company for the future.
R 524.00
Application of Generative AI in Healthcare Systems
Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image from another more expensive one can help patients save funds. Generative AI facilitates the administrative process, letting the doctor focus more on the treatment process. It even goes further by helping medical professionals with diagnosis and decision- making, suggesting possible treatment plans according to the patient symptoms. This book introduces several practical GenAI healthcare applications, especially in medical imaging, pandemic prediction, synthetic data generation, clinical administration support, professional education, patient engagement, and clinical decision support, providing a review of efficient GenAI tools and frameworks in this area. GenAI empowers the treatment process through several methods; however, some ethical, privacy, and security challenges require attention. Despite the challenges presented, GenAI technological and inherited characteristics smooth the path of improvement for it in the future.
R 8,178.14
R 611.00
Digital Transformation Strategies
Digital transformation, anchored in data and powered by frontier technologies such as AI, Generative AI, and emerging agentic systems, is arguably the most widely pursued initiative among companies of all sizes worldwide. Digital natives and traditional incumbents alike are struggling to cope with the relentless pace of technological change. While successful incumbents may have mastered value creation and extraction within their established core businesses, they often continue to treat digital as peripheral to their core strategy. Yet recurring flashes of potential reveal digital as a credible source of sustainable advantage, creating ambiguity about its true scope and impact. Many organizations struggle to find a clear starting point or design a roadmap, and even when initiatives begin, ROI and change management remain major barriers. The second edition of this book offers theories and frameworks to understand and develop these elements, while updating and refining practical models for technology taxonomy, digital literacy, digital transformation, and paths-to-value. Incorporating lessons on competing in the digital era, it features real-world cases in consulting and strategy, accessible to students, instructors, and professionals without prior expertise. Designed to support teaching and learning, it remains a valuable resource for students of Business, Management and Marketing; Organizational Change; Production, Operations & Information; Management e-Business; Information / Knowledge Management; Innovation Management; Organizational Studies; and Management of Technology & Innovation.
R 2,483.00
Building Trust in the Generative Artificial Intelligence Era
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.
R 2,381.00
System Innovation in an AI-Driven World
As artificial intelligence fundamentally restructures contemporary socio-technical infrastructure, reductive technological paradigms fail to capture emerging institutional complexities. System Innovation in an AI-Driven World establishes a rigorous theoretical framework for transitioning from discrete algorithmic deployment to comprehensive systemic transformation. This volume equips scholars and strategic architects with the epistemological and methodological tools required to analyze, model, and govern complex socio-technical transitions under the influence of pervasive automation.The monograph interrogates the dialectical relationship between advanced computational architectures—specifically deep neural networks, autonomous multi-agent systems, and predictive modeling—and legacy institutional frameworks. Utilizing cross-disciplinary case studies from cyber-physical systems, public health logistics, and decentralized socio-ecological regimes, the text explicates the mechanics of systemic innovation within volatile technological landscapes. The foundational findings indicate that optimal AI integration is not a function of raw algorithmic efficacy; rather, it depends on systemic absorptive capacity, adaptive regulatory polycentricity, and dynamic feedback integration. The research offers structural typologies for mapping non-linear systemic feedback loops, mitigating algorithmic opacity, and synthesizing human-machine governance frameworks. Consequently, the volume demonstrates that sustainable institutional efficacy resides in embedding computational intelligence within fundamentally reconceptualized, non-linear system architectures.This volume is explicitly designed for academic researchers, systems theorists, computational sociologists, and advanced policymakers. It constitutes an indispensable resource for graduate-level seminars and senior scholars investigating the intersection of technology policy, complex adaptive systems, and institutional design amid the contemporary digital transition.
R 8,572.00
R 489.00
Generative AI in Computer Science Education
Generative AI is a disruptive technology that has the potential to transform many aspects of how computer science is taught. Like previous innovations such as high-level programming languages and block-based programming languages, generative AI lowers the technical expertise necessary to create working programs, bringing the power of computation to more people. The programming process is already changing as a result of its presence, even for expert programmers. It also poses significant challenges to educators around re-thinking assessment as some well-established approaches may no longer be viable. Many traditional programming assignments can be completed using generative AI tools with minimal effort, thus potentially undermining learning. In this Element, the authors explore both the opportunities and the challenges for computer science education resulting from the widespread availability of generative AI.
R 2,804.49
R 519.00
AI in Popular Culture
This book examines the transformative impact of generative AI on cultural production, with a particular focus on how AI technologies like ChatGPT are reshaping the creation of popular culture.Through a comprehensive analysis of both Global North and South perspectives, the book offers critical insights into AI governance, ethical considerations, and the future of cultural production in an increasingly AI-integrated creative landscape. Tracing the evolution of AI in cultural industries, from its early representations in films to its current active role in content creation across various media, including film, television, music, and animation, the book explores how AI has shifted from being merely depicted in cultural works to becoming an integral tool in the creative process, from pre-production to post-production stages. It critically analyzes three core concepts—creativity, control, and credentials (3Cs)—in the context of AI-driven cultural production, putting focus on the examination of "precarious creativity," the tension between human creative expression and AI-generated content. The work addresses crucial concerns about labor rights, job security, and creative control in the cultural industries.This book will interest graduate students and researchers in media studies, cultural studies, anthropology, globalization studies, sociology, and science and technology studies (STS), as well as interested policymakers and practitioners interested in AI's impact on the creative industries.
R 9,299.98
Sustainability in Digital Transformation Era: Driving Innovative & Growth
In the past few weeks, OpenAI has released ChatGPT (Chat Generative Pre-trained Transformer). ChatGPT emerges as a formidable chatbot, surpassing various iterations of the GPT model, and plays a transformative role in user interactions with AI systems. In the dynamic realm of AI technologies, influential applications like ChatGPT, developed by OpenAI, mir□ror the transformative consideration of the simplicity on multiple facets of our daily lives. This potent technology holds the potential for significant positive changes, particularly in healthcare where the introduction of GPT and chatbot models opens promising avenues for disease treatment and technological innovation.
R 2,938.71
Creative Machines
A bold and thought-provoking journey into AI's power to transform human creativity In Creative Machines: AI, Art & Us, world-renowned AI researcher and generative AI pioneer, Maya Ackerman, takes you on a thrilling journey into the rise of creative AI, from its earliest pioneers to the cutting-edge tools shaping music, art, and human imagination today. Ackerman cuts through the hype, revealing the true capabilities and limitations of generative AI while championing its potential to amplify human creativity rather than replace it. Drawing on psychology, philosophy, and her own cutting-edge research, she reveals how generative AI exposes both the brilliance and the blind spots of human society—our ingenuity, our biases, our assumptions about intelligence and identity. The book contains: The hidden history and explosive growth of AI-generated creativityExplorations of the true capabilities and limitations of creative AIA visionary framework for using AI as a tool to enhance, rather than hinder, human creativityA bold new perspective on AI ethics and why fixing AI is not enough Perfect for entrepreneurs, tech leaders, developers, ethicists, and creative professionals, Creative Machines offers deep insights, compelling stories, and a visionary perspective on AI's impact on human society. An essential read for anyone doing their best to navigate the rapidly evolving landscape of generative AI.
R 835.00
R 489.00
R 1,750.00
Handbook of Generative AI in Education
Generative AI is transforming educational systems at a pace that challenges researchers, practitioners, and institutions to develop principled approaches to understanding, evaluating, and implementing these technologies responsibly. In response to this need, this volume synthesizes research on the use of Generative Artificial Intelligence (GAI) in education from leading global scholars across disciplines. The book explores effective methodologies and frameworks for advancing research and applications of GAI in higher education and related domains while addressing new possibilities for both the research and application of teaching, learning, and assessment. It examines the ways in which GAI can be used to transform education within the context of risks, ethical concerns, and other potential negative impacts, addressing the significant new challenges GAI may pose for instructors, students, administrators and researchers.Key areas of coverage include:• Foundational frameworks for understanding GAI systems and their implications for educational research and practice• Empirical evaluation of AI tutors, agentic systems, and automated feedback against rigorous learning science standards• Innovations in assessment that expand what can be measured and at what scale• Applications and findings across K–12, higher education, health sciences, and workforce training, with attention to equity and institutional implementation• Ethical implications of GAI use in educational research and applicationsThe Handbook of Generative AI in Education is an essential resource for researchers, professors, educators, and graduate students as well as professionals and practitioners in instructional design, educational technology, educational psychology, health science education, teacher education, and educational practice and policy.
R 14,646.46
Integration Strategies of Generative AI in Higher Education
Amidst the rapid evolution of educational technology, a pressing challenge confronts higher education institutions: how to effectively integrate generative artificial intelligence (AI) into their existing frameworks. As universities strive to adapt to the digital age, they are met with the complexities of incorporating AI-driven solutions to enhance teaching, learning, and administrative processes. However, the lack of comprehensive strategies and guidance hinders their ability to leverage AI's full potential, leaving educators and administrators grappling with uncertainty. In response to this critical dilemma, Integration Strategies of Generative AI in Higher Education emerges as a guide for clarity and innovation. By offering methodological insights and practical frameworks, this book equips higher education stakeholders with the tools needed to navigate the intricacies of AI integration. From curriculum enhancement to AI-driven content creation, the book provides actionable strategies tailored to the unique needs and challenges of higher education institutions. As educators, administrators, and policymakers seek to harness the transformative power of AI in education, this book serves as an indispensable roadmap for success. By synthesizing best practices from diverse educational contexts and addressing key considerations such as regulatory frameworks and ethical implications, this book empowers stakeholders to embrace AI with confidence, ushering in a new era of innovation and excellence in higher education.
R 9,485.95
Generative AI For Dummies
Generate a personal assistant with generative AI Generative AI tools capable of creating text, images, and even ideas seemingly out of thin air have exploded in popularity and sophistication. This valuable technology can assist in authoring short and long-form content, producing audio and video, serving as a research assistant, and tons of other professional and personal tasks. Generative AI For Dummies is your roadmap to using the world of artificial intelligence to enhance your personal and professional lives. You'll learn how to identify the best platforms for your needs and write the prompts that coax out the content you want. Written by the best-selling author of ChatGPT For Dummies, this book is the ideal place to start when you're ready to fully dive into the world of generative AI. Discover the best generative AI tools and learn how to use them for writing, designing, and beyondWrite strong AI prompts so you can generate valuable output and save time Create AI-generated audio, video, and imageryIncorporate AI into your everyday tasks for enhanced productivity This book offers an easy-to-follow overview of the capabilities of generative AI and how to incorporate them into any job. It's perfect for anyone who wants to add AI know-how into their work.
R 711.00
Winning Marketing Strategies Using Generative AI
Unlock Brilliant Strategies with AI-Enhanced MarketingDiscover the future of marketing with our comprehensive guide that introduces the MVOSSTE framework. Augmented by cutting-edge generative AI, this book offers a clear roadmap from mis-sion to execution, empowering you to craft innovative and effective marketing strategies. Perfect for marketers eager to stay ahead of the curve, our guide transforms complex concepts into actionable insights for unparalleled success.
R 873.23
Digital Transformation Strategies
Digital transformation, anchored in data and powered by frontier technologies such as AI, Generative AI, and emerging agentic systems, is arguably the most widely pursued initiative among companies of all sizes worldwide. Digital natives and traditional incumbents alike are struggling to cope with the relentless pace of technological change. While successful incumbents may have mastered value creation and extraction within their established core businesses, they often continue to treat digital as peripheral to their core strategy. Yet recurring flashes of potential reveal digital as a credible source of sustainable advantage, creating ambiguity about its true scope and impact. Many organizations struggle to find a clear starting point or design a roadmap, and even when initiatives begin, ROI and change management remain major barriers. The second edition of this book offers theories and frameworks to understand and develop these elements, while updating and refining practical models for technology taxonomy, digital literacy, digital transformation, and paths-to-value. Incorporating lessons on competing in the digital era, it features real-world cases in consulting and strategy, accessible to students, instructors, and professionals without prior expertise. Designed to support teaching and learning, it remains a valuable resource for students of Business, Management and Marketing; Organizational Change; Production, Operations & Information; Management e-Business; Information / Knowledge Management; Innovation Management; Organizational Studies; and Management of Technology & Innovation.
R 9,317.62
R 580.00
Move First, Align Fast
A start-to-finish manual for aligning your organization’s teams with the latest AI technologies In Move First, Align Fast: Frameworks and Scorecards for Human-AI Alignment, seasoned technology and transformation leader Deepika Chopra delivers a comprehensive toolkit and guide for the people side of AI implementation. This is a step-by-step walkthrough for the human beings who will lead and participate in your organization’s AI transformation. It’s also an expansive collection of frameworks, scorecards, measurement tools, and interpretation guides for company leaders who want to keep their change initiatives on track and on schedule. Chopra offers you practical resources, including the ACT Framework, ACT+M™ Scorecard, and the Human-AI Alignment Score (HAAS™), that she developed and refined through her decades-long career advising organizations like Citi, AIG, Siemens, and LPL. You’ll use them to ensure that you’re able to translate your strategy, tools, and your teams’ technical skills into a firm with powerful new capabilities. Inside the book: Detailed walkthroughs for leaders who want to build new, AI-enabled organizations defined by trust, alignment, and a culture of innovationEffective strategies suited to both high-growth startup environments and large enterprises seeking to implement foundational changes to the way they use AI Detailed discussions of the Align, Cultivate, and Transform (ACT) Framework and the tools you need to measure your progress as you implement it across your teams Virtually every organization in every industry can easily access powerful AI technologies with the potential to transform the way they do business. It’s become increasingly clear that the bottleneck is almost always cultivating teams that effectively deploy and integrate those technologies in a way that executes on the strategic vision of their leaders. Move First, Align Fast is the roadmap that business and technology leaders have been waiting for to help them implement new technical capabilities into their companies in ways that ensure they’ll actually be used to their fullest potential. It’s an expert guide to aligning your human resources with the latest AI tools that will prove invaluable to managers, executives, entrepreneurs, and founders everywhere.
R 798.00
Transforming Conversational AI
Acquire the knowledge needed to work effectively in conversational artificial intelligence (AI) and understand the opportunities and threats it can potentially bring. This book will help you navigate from the traditional world of dialogue systems that revolve around hard coded scripts, to the world of large language models, prompt engineering, chain-of-thought prompting, multi-modality, and ultimately autonomous agents.In this new world, decisions are made by a system that may forever remain a ‘black box’ for most of us. This book aims to eliminate unnecessary noise and describe the fundamental components of conversational AI. Past experiences will prove invaluable in constructing seamless hybrid systems. This book will provide the most recommended solutions, recognizing that it is not always necessary to blindly pursue new tools.Written in unprecedented and turbulent times for conversational interfaces you’ll see that despite previous waves of advancement in conversational technology, now conversational interfaces are gaining unparalleled popularity. Specifically, the release of ChatGPT in November 2022 by Open AI revolutionized the conversational paradigm and showed how easy and intuitive communication with a computer can be. Old professions are being disrupted, new professions are emerging, and even the most conservative corporations are changing their strategy and experimenting with large language models, allocating an unprecedented amount of budget to these projects. No one knows for sure the exact future of conversational AI, but everyone agrees that it’s here to stay. What You'll LearnSee how large language models are constructed and used in conversational systems Review the risks and challenges of new technologies in conversational AI Examine techniques for prompt engineering Enable practitioners to keep abreast of recent developments in conversational AIWho This Book Is ForConversation designers, product owners, and product or project managers in conversational AI who wish to learn about new methods and challenges posed by the recent emergence in the public domain of ChatGPT. Data scientists, final year undergraduates and graduates of computer science
R 1,026.00
R 611.00
Workforce Intelligence
The operator-tested framework for leading AI transformation as a talent strategy Most enterprise AI initiatives fail because organizations treat them as technology rollouts rather than talent management challenges. In Workforce Intelligence: The People-First Playbook for Leading Your Company Through AI Transformation, OneDigital co-founder Mike Sullivan and Chief Product Officer Vinay Gidwaney introduce an operating model that treats the workforce as a composed capacity of human judgment and machine capability, orchestrated together. Built from the authors' experience scaling OneDigital to a $1.7 billion enterprise serving 100,000 employers, Workforce Intelligence traces the evolution from Personnel Management to Human Capital Management to the new discipline of WI. The book delivers real client situations, internal operating metrics, and a tested management philosophy forged under private-equity scrutiny. Ultimately, you’ll learn how to pass the “Humanity Test”: When confronted with the option of reinvesting returns from AI in the people who built your business or pocketing the excess margins, you’ll know the best option is the first one – and exactly how to execute it. You’ll also find: A historical arc showing why each workforce management transition required a new philosophy, not just new toolsNamed scenes and real client situations illustrating how the Workforce Intelligence framework operates in practiceGuidance for CHROs on positioning people leadership, not technology teams, as the owner of AI transformationA measurement framework designed to withstand board-level scrutiny when justifying AI-driven workforce investmentsPractical direction for people managers who need to act on AI-related workforce changes starting Monday morning Written for HR leaders, CHROs, benefits executives, CEOs, and people managers at mid-to-large employers, Workforce Intelligence provides the operational framework and management philosophy needed to lead AI transformation as a people strategy rather than a technology deployment.
R 684.00
R 1,221.00
R 234.00
R 183.00
R 2,982.07
R 275.00
R 6,818.13
R 915.00
R 1,033.23
AI and Digital Transformation: Opportunities, Challenges, and Emerging Threats in Technology, Business, and Security
This two-set volume CCIS 2669 and CCIS 2670 constitutes the post-conference proceedings of the 5th International Conference on AI and Digital Transformation: Opportunities, Challenges, and Emerging Threats in Technology, Business, and Security, ICITTBT 2025 held in Tirana, Albania during May 29-30, 2025. The 65 full papers and 26 short papers presented in this volume were carefully reviewed and selected from 219 submissions. They were organized in the following topical sections: Part I: Artificial Intelligence (AI); Data Analytics and Data Science; Advancements in IoT, Networking, Cloud, Robotics, and Cybersecurity. Part II: Technology in Applied Sciences; Management, Business, Economics, and Social Sciences: Analytics, Strategy, and Governance; Digital Economy.
R 3,966.10
