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Huyen C: AI Engineering

AI Engineering

Building Applications with Foundation Models

Preface.- Chapter 1: A World in Transition.- Chapter 2: The Luddite Complex and the Psychology of Resistance.- Chapter 3: Man and the Machine – The Human-Machine Relationship.- Chapter 4: Technological Progress Driving Social Progress.- Chapter 5: Education in the Supply Chain – Systemic Overhaul.- Chapter 6: The Rise of the Knowledge Worker 3.0.- Chapter 7: Organizing Principles – From Hierarchies to Networks.- Chapter 8: Social Policy and Economic Equity.- Chapter 9: Conscious Capitalism and the Modern Social Contract.- Chapter 10: Sector Deep Dive – Logistics, Trucking, and the Automation Paradox.- Chapter 11: Strategy Map 2.0 – A 21st Century Vision for Human Capital.- Conclusion – Designing the Human Future.

Workforce Transformation, Strategy, and the Future of Work

Human Capital Supply Chain in the Age of AI

AN INSTANT NATIONAL BESTSELLER “Evenhanded and insightful.”&nbsp; —Publisher’s Weekly (starred review) “An accessible, often fascinating primer.... Essential, illuminating reading.” —Kirkus From the author of the New York Times bestseller The Digital Doctor comes an engaging, clear-eyed, and ultimately hopeful examination of healthcare’s efforts to embrace generative artificial intelligence. In A Giant Leap, physician and thought leader Robert Wachter navigates between hype and skepticism to make a compelling case for AI’s power to transform healthcare. He argues that, in a system buckling under the weight of bureaucratic pressures, soaring costs, and clinician burnout, AI doesn’t need to be perfect—it only needs to be better. Drawing on extensive research and more than 100 interviews with pioneers across medicine, technology, policy, and business, Wachter shows how AI is already entering hospitals and clinics to draft notes, field patient questions, recommend treatments, interpret images, and guide surgeries. He unflinchingly confronts risks like hallucinations, biases, and misinformation, while revealing how AI can now match, and sometimes surpass, physicians in areas ranging from diagnosis to empathy. But this isn’t simply a technology story. It’s about the human choices that will determine whether AI becomes healthcare’s salvation or another source of harm and frustration.&nbsp; Blending clinical insight, vivid storytelling, and journalistic precision, A Giant Leap offers an indispensable roadmap for healthcare leaders, clinicians, and patients. It&nbsp;is a vibrant and timely account of how AI is changing what it means to care—and be cared for—in this age of astonishing technology.

How AI Is Transforming Healthcare and What That Means for Our Future

A Giant Leap

A timely, practical guide to AI—its strengths, weaknesses, and real-world applications—for business professionals and policymakers. Artificial intelligence, or AI, can recognize a pattern from any set of data it is given, which is what makes it such an extraordinarily powerful tool. But because not all patterns are authentic or reliable, AI's pattern-finding superpower can lead to spurious patterns—and to disastrous results for business and government entities that rely on them. Hence the conundrum at the heart of AI: its greatest strength can also be its greatest weakness. Targeting the businessperson who needs to know how to use AI profitably and responsibly, Caleb Briggs and Rex Briggs offer in this book a foundational understanding of AI that is easy to grasp yet thorough enough to be used effectively.

Harnessing the Power of AI for Your Organization—Profitably and Safely

The AI Conundrum

Towards AI-based Strategy Planning

Strategic Analytics

In our hyper-connected world, where every interaction generates valuable data, artificial intelligence (AI) is having a profound impact on marketing, marketing research, and customer data analytics.This book sheds light on the untapped potential of AI-driven analytics in market research so that businesses can better understand and interact with their customers. The transformation of marketing and market research over recent decades has only accelerated thanks to breathtaking AI developments that are reshaping data analytics and insights generation while enabling more effective foresight and actionability.These technologies are moving the field beyond solicited customer opinion, traditionally gathered through surveys and focus groups, allowing marketers to leverage unstructured big data for a whole new type of customer feedback: the unsolicited opinion. Acting as a guide to what's possible, the book explores the redefinition of insight in the age of AI and stresses the need for every true insight to inspire action. It dives into techniques for analysis and the AI science behind the analytics, automated brand recommendations, and content creation, introducing AI-specific research and data analysis tools. The birth of synthetic data is discussed, with advantages including privacy compliance, cost-effectiveness, and the ability to generate diverse datasets on demand. The book also covers critical ethical issues, such as data privacy, algorithmic bias, transparency, and the potential for AI to be used manipulatively, and raises important questions around knowledge, creativity, and the future of the field of marketing research.This book's clear-eyed guidance and thoughtful reflections will benefit anyone involved in marketing, market research, digital advertising, and business strategy, including CX practitioners, business leaders tasked with delivering growth, data scientists, marketing agency executives and consultants, and advanced business and marketing students.

Marketing Research Reconfigured

AI Powered Insight

Advances in Spatial Science

As cities evolve at unprecedented speed and scale, traditional digital twins—virtual models of physical urban systems—fall short in capturing the dynamic and complex nature of urban life. This book bridges the gap between digital urban representations and the dynamic processes that shape our cities.Moving beyond conventional data and technological infrastructure, this work formulates a comprehensive framework for embedding urban dynamics and complexity into digital twins. It reimagines them as living systems that adapt, learn and evolve in real time, near real time and over the long horizon. Through integrated feedback loops between data, physical infrastructure, high-dimensional models and reduced-order approximations, digital twins are transformed into powerful tools for the modeling, simulation, prediction and proactive management of urban development.This book presents cutting-edge methods to learn, simplify and encode urban dynamics and complexity into digital twins—whether or not the underlying mechanisms are fully understood. It also addresses critical challenges such as scalability, uncertainty propagation, network sensing and data quality, and demonstrates how dynamic digital twins can be continually refined through new information and emerging insights.At the intersection of urban theory, artificial intelligence, machine learning and big spatiotemporal data, this book charts a new course for the modeling and governance of cities. It is a vital resource for researchers, practitioners and decision-makers across disciplines—inviting collaboration between academia, industry, government and professionals working on the frontlines of our ever-changing urban environments.Explore a bold vision for cities that can think, adapt and respond—one where digital twins become not just mirrors, but engines of transformation.

Modeling Urban Dynamics and Complexity

Digital Twins of Cities

A rigorous, cutting-edge overview of the range of methods used to conduct causal inference in the social sciences. This textbook provides a lucid, rigorous, and cutting-edge overview of the methods used to conduct causal inference in the social sciences, covering all the core techniques and latest advances. Offering a detailed survey of the current state of microeconometric theory, Damian Clarke delves deeply into machine learning applications and presents developments in difference-in-difference methods, instrumental variables, multiple hypothesis testing, and other advanced topics. With a diverse range of examples and exercises offering hands-on experience, Applied Microeconometrics equips graduate students and researchers to apply state-of-the art scholarship to actionable problems. <ul><li>Integrates a rich array of machine learning methods into causal modeling frameworks</li><li>Covers recent advances in difference-in-differences and dynamic research designs, formal discussions of challenges related to inference and hypothesis testing, and heterogeneity analysis</li><li>Features a breadth of real-world examples from recent papers</li><li>Includes coding implementation in Python, R, and Stata</li></ul>

Applied Microeconometrics

In a world of alt facts, imperfect algorithms and information overload, the ability to think clearly has never been more crucial. But it's not easy. Critical thinking asks us to slow down and reflect; to question assumptions; to be aware of blind spots. It takes time - which can be tough to find when we're distracted or under pressure. How to Think Clearly is a practical primer for developing the habits that underpin critical thinking. In life or at work, whether weighing up options or choosing what to believe, it offers a toolkit to turn these skills into daily practice. From powerful pauses and killer questions to being data smart, it will help you think twice - and think better.

Cut through noise, see the big picture and make better decisions

How to Think Clearly

The events of the last few years, including the Covid pandemic, the energy crisis and increasing global tension, have contributed to new challenges facing the global supply of temperature-sensitive products. This book reviews the basic structure of the air cargo cool supply chain, featuring contributions from industry experts and case studies to provide readers with a well-rounded and practical understanding.This book presents a multitude of cool chain activities with insights and case histories, such as the handling of delicate time sensitive air cargo and trends in technology to improve the integrity of shipments, geo-political challenges and world climatic crisis, medical pharma, food products, flowers and plants, containers and packaging. It examines trade lanes, regulations and quality standards, such as IATA's CEIV standard, and considers security issues, especially theft of valuable products through fraud and insider criminal gangs. Responses to emergencies such as the Covid pandemic, disaster relief, seasonal fluctuations of growers and climate, as well as larger environmental issues and sustainability. Innovations in equipment, such as smart containers, aircraft design, drones, alternative fuels, electric vehicles and e-processing, are comprehensively but accessibly covered. Political actions affecting agricultural production and the impacts on transportation needs are also discussed.The Air Logistics Cool Supply Chain will be directly relevant to professionals within the global supply, transport, international and air logistics, retail, food, pharmaceutical and packaging industries. It will also prove valuable to students and graduates seeking careers within these sectors.

Flying Fresh

The Air Logistics Cool Supply Chain

Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, Second Edition provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing, and controlling mobility patterns-a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications, and concepts in mobility analysis and transportation systems. Fields covered are evolving rapidly, and this new edition updates existing material and provides new chapters that reflect recent developments in the field (such as the emergence of active, transfer and reinforcement learning). Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements, limitations for realistic transportation applications, and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.

Tools and Applications for Modeling

Mobility Patterns, Big Data and Transport Analytics

Harness the power of taxonomies for better human capital management and employee wellbeing In Job Architecture, economist and entrepreneur Ben Zweig offers a revolutionary approach to transforming human capital management through the power of taxonomies. The book follows the experience and ideas of key individuals-from the founders of Wall Street, to the original management consultant, to a young data scientist just out of grad school looking to make sense of the modern workforce-in order to illustrate why our current human capital infrastructure is not serving employees well and what we can do to change that. By categorizing and organizing workforce data, Zweig provides a practical roadmap for creating a more efficient and data-driven labor market. This book includes key insights on how to: <ul> <li>Use AI and similar large language model technologies to support businesses with appropriate categorization and regimentation of data</li> <li>Know whether or not a taxonomy can be useful and functional for an organization in their ability to be flexible, auditable, and adaptable</li> <li>Build a taxonomy that meets the needs of a workforce or organization through clustering, labeling, and production</li> </ul> Combining storytelling with real-world examples, theoretical analysis, and a practical framework, Job Architecture is an essential guide for companies to manage a competitive, modern workforce that improves the working experience for all employees.

Building a Language for Workforce Intelligence

Job Architecture

Springer Proceedings in Mathematics & Statistics

This book offers a comprehensive collection of 46 research contributions presented at the 13th International Conference on Soft Computing for Problem Solving (SocProS 2025): Artificial Intelligence for Viksit Bharat (that is, developed India), held at the Indian Institute of Technology Roorkee, Uttrakhand, India, from 24–26 February 2025. It discusses how machine learning, deep learning, optimization and intelligent systems are revolutionizing engineering and commercial practices through applications of mathematics. Covering diverse topics such as facial recognition security, cryptocurrency and blockchain technologies, automated trading, sustainable inventory management, personalized recommendation systems and IoT-driven smart solutions, the book highlights both theoretical advancements and practical implementations of mathematics across a wide range of disciplines.This book also addresses emerging areas like green energy management, speech recognition, multilingual language technologies and climate analytics. With a strong emphasis on interdisciplinary research, the chapters integrate computational intelligence, engineering innovations and business applications, providing readers with a holistic view of current trends and future opportunities. This book serves as a valuable reference for researchers, practitioners, industry professionals and students aiming to leverage machine learning and optimization techniques for engineering and e-commerce challenges.

SocProS 2025, Roorkee, India, February 24–26

Applications of Mathematics in E-Commerce and Finance

AI Engineering

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