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Konieczny B: Data Engineering Design
Patterns

Data Engineering Design Patterns

Recipes for Solving the Most Common Data Engineering Problems

Recursions

Artificial intelligence is often framed as a quest to replicate the human brain, promising frictionless cognition and a future of seamless automation. But what if this pervasive narrative obscures a deeper, more "errant" truth?Errant Intelligence challenges the prevailing biological and individualistic interpretations of machine learning, arguing instead for a radical understanding of machine intelligence. The book embraces the deviations, inconsistencies, and "errant behaviour" as fundamental to the discovery of new knowledge, moving beyond the illusion of mere optimisation. Drawing on media theory, cybernetics, and a unique psychoanalytic lens, it explores the "technological unconscious" of machine learning. It traces the historical roots of AI, from early automatons and the Turing machine to natural language processing and contemporary machine learning systems. Challenging the idea of an autonomous, self-generating AI, the book exposes the hidden labour, assumed logics, and inherent biases that animate its operation. It re-evaluates computational thinking, insisting on its inherently social, collective, and symbolic character, and revealing how language and logical paradoxes are not obstacles but constitutive forces that shape intelligent machines.Errant Intelligence offers a vital new framework for understanding the profound co-evolution of human and machine learning. It's time to "unlearn" our assumptions and embrace the productive ambiguity and fallibility at the core of machine intelligence.

A Media Theory of Machine Learning

Errant Intelligence

Beyond the Human Touch: AI's Revolution in Healthcare provides a comprehensive, accessible, and engaging exploration of how Artificial Intelligence (AI) is transforming healthcare. The book aims to serve as a definitive guide for healthcare professionals, policymakers, researchers, and students, offering insights into the practical applications, ethical considerations, and future potential of AI in the healthcare sector. This book benefits the healthcare and AI communities by:¿ Providing a thorough understanding of how AI technologies are being integrated into various aspects of healthcare.¿ Offering practical insights and strategies for implementing AI in clinical and administrative settings.¿ Highlighting the ethical and regulatory considerations necessary for responsible AI adoption.¿ Envisioning the future of AI in healthcare, including its potential to address global health disparities.

AI's Revolution in Healthcare

Beyond the Human Touch

Taylor and Francis Proceedings in Environmental Science and Engineering

This proceedings compilation presents groundbreaking contemporary research on digital transformation and its profound impact on industries, institutions, and societies. Through 67 peer-reviewed papers, this volume takes a multidisciplinary approach and delves into technological change, sustainability, and innovation in the digital era.The contributions span artificial intelligence applications, sustainable business practices, fintech and digital finance, technology adoption, innovation and entrepreneurship, human resource transformation, governance, and digital education systems. Several studies examine AI-enabled decision-making, automation, data-driven strategy, and emerging digital infrastructures, while others explore sustainability transitions, inclusive development, financial inclusion, and policy frameworks in technology-mediated environments. The collection also features empirical analyses, conceptual models, technical innovations, and sector-specific case studies from diverse regional contexts. Together, these papers document current research directions, practical implementations, and strategic responses shaping organizations and economiesThis book is intended for researchers, scholars, and professionals engaged in digital transformation, innovation, and technology management. It serves as a reference for academics, industry leaders, policymakers, and research institutions seeking current evidence, interdisciplinary perspectives, and emerging insights into technological change and its organisational, economic, and societal implications.

Sustainable Innovations in Management in the Digital Transformation Era

AI Marketing Essentials: Concepts and Practice for the Digital Age explores the dynamic intersection of AI technology and marketing, providing theoretical frameworks for understanding its fast-growing potential in the development and implementation of successful marketing strategies.By guiding the reader through the principles, tools, and techniques of AI in marketing, this comprehensive textbook will help readers understand how they can leverage AI to transform different marketing functions throughout the lifecycle of a product, from initial strategy to product development, pricing, and distribution. This book combines theoretical understanding with insights from industry to reinforce learning, featuring real-life examples and case studies from different industries and countries across the world. In the first section, the book introduces the AI marketing discipline and how it has evolved. It explains the fundamental AI concepts such as machine learning, big data, NLP, and algorithms, which are crucial to understanding how they work.In further sections, the applications of these technologies are explored and explained in various marketing functions through case studies from multiple industries and concepts from marketing and technology. The application of these functions across retail, products, service, and business-to-business operations is then explored, followed by a critical discussion of the social and ethical dimensions and future directions for the use of AI in marketing.An accessible guide for understanding the AI marketing space, this book will suit undergraduate and postgraduate students as well as marketing professionals looking to build foundational knowledge in the concepts and impact of AI in marketing.

Concepts and Practice for the Digital Age

AI Marketing Essentials

This book fills a significant gap by providing a leadership guide to balance innovation and safety. With the rapid business transformation underway to leverage artificial intelligence (AI), executives must allocate substantial investments in governance, corporate purpose, and risk management tailored to their organization's strategic goals. The stakes are high, and very few organizations are generating positive returns on their investments. As a result, leaders must reevaluate their strategies, focusing on maximizing benefits while curtailing unnecessary costs. This book emphasizes the importance of carefully integrating humans into AI processes and introduces a robust leadership framework that prioritizes innovation without compromising safety. Diverse industry examples offer rich insights into pathways for striking a balance between advancing AI capabilities and mitigating potential risks. This book equips leaders with the tools to navigate the complexities of AI responsibly. It sheds light on often¿overlooked topics in major AI literature, including in¿depth discussions on strategic scenarios, risks and controls, legal frameworks, and effective measurement systems. Offering a wealth of strategic and operational insights from credible sources, this authoritative resource is indispensable for senior executives aiming to design, develop, and implement successful AI initiatives within their organizations.

An Executive Guide to Balancing AI Innovation and Safety

The AI Precipice

Transforming Healthcare: Digital Health and Emerging Technologies" is a pioneering book designed to explore the dynamic and rapidly evolving intersection of healthcare and technology. This comprehensive guide delves into essential topics such as digital health, data privacy, big data analytics, artificial intelligence, quantum computing, and more. Each chapter provides in-depth coverage of key concepts, practical applications, and real-world case studies, equipping healthcare professionals, informaticists, and students with the knowledge and skills required to navigate and excel in the future of healthcare. What sets this book apart is its interdisciplinary approach, making it an ideal resource for pharmacy, medicine, nursing, and business healthcare classes and professionals. The inclusion of real-world datasets, such as the Belmont Data Collaborative's HTN in Nashville dataset, and detailed project suggestions ensures that readers gain practical, hands-on experience. Additionally, the book addresses current and future trends, challenges, and ethical considerations, making it an indispensable resource for those seeking to understand and lead in the digital transformation of healthcare. As the healthcare industry increasingly relies on technology to improve patient outcomes, enhance efficiency, and ensure data security, this book fills a critical need by providing a thorough and practical foundation in digital health and emerging technologies.

Digital Health and Emerging Technologies

Transforming Healthcare

A complete guide to deep neural networks – the technology behind AI – covering fundamental and advanced techniques to apply machine learning in real-world scenarios. Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.

Deep Learning Crash Course

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Marketing Technology is the ideal textbook for understanding technology-driven marketing strategy in a digital-first world. This textbook provides upper-level undergraduate and postgraduate students with a comprehensive understanding of how innovation shapes marketing strategy and practice in the modern business environment. Blending theory, strategic models and applied insights, this textbook explores the technologies transforming marketing from: artificial intelligence and machine learning to blockchain, automation and augmented, virtual and mixed realities. Students will learn how to use data and critical thinking to deliver measurable impact and build customer trust in an era of continuous digital evolution. Designed for academic alignment, with key terms, key points, exercises, and reflective questions and real-world application, this textbook includes: 
- Detailed coverage of the historical connection between technology and marketing, big data, neuromarketing, smart devices for enhanced consumer engagement, Internet of Things (IoT) and their role in contemporary marketing strategy
- Frameworks for optimizing campaign performance through analytics, automation and return on investment measurement
- Ethical perspectives are explored in each chapter highlighting responsible and transparent use of marketing technology
- Online lecturer resources include presentation slides Whether studying digital marketing, strategic marketing or marketing management, Marketing Technology by Ediz Edip Akçay, equips students with the expertise and confidence to analyse, apply and innovate with the tools shaping the future of marketing.

Integrating Martech for Transformational Marketing

Marketing Technology

A roadmap for business leaders to unlock the full potential of data, machine learning, and artificial intelligenceNinety-nine percent of businesses surveyed say that data and AI are a top priority--but two-thirds admit to feeling stuck. What most leaders miss is that to succeed at becoming a data-driven business requires developing a nuanced understanding of why data holds such transformative power, what a data-inspired culture looks like, and how to get there.Data Inspired shows that the secret isn't to be more data-driven--it is to become data-inspired. This book reveals the crucial strategic distinction between using data to optimize existing operations and using them as a catalyst for deep transformation and innovation. Wernicke argues that success hinges less on technology and more on reshaping an organization's culture and decision-making habits. And with this book's proven principles, real-world examples, and comprehensive toolbox of methods for building a culture of evidence-based inquiry, readers will learn that success means far more than just adding more data to a business: it is about creating a thoroughly data-inspired organization with innovative work methods, new structures, and unmatched efficiency.Data Inspired will help business leaders, managers, and data professionals move beyond incremental improvements to achieve lasting, powerful change.

Building an Organizational Culture of Inquiry for Lasting Transformation

Data Inspired

This book aims to empower healthcare professionals by providing them with knowledge across various aspects of AI/ML, enabling them to realize positive, lasting business value from AI and ML initiatives. The book draws upon my experience of working in healthcare AI/ML, lessons I learned while observing leaders in this space, and research.

Navigating the AI/ML Maze Responsibly, Securely, and Sustainably

AI/ML for Healthcare

Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development

Data Engineering Design Patterns

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