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This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation

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Synthesis Collection of Technology (R0)

Joyce Weiner

Why AI/Data Science Projects Fail

How to Avoid Project Pitfalls

&lt;p&gt;Introduction and Background.- Project Phases and Common Project Pitfalls.- Five Methods to Avoid Common Pitfalls.- Define Phase.- Making the Business Case: Assigning Value to Your Project.- Acquisition and Exploration of Data Phase.- Model Building Phase.- Interpret and Communicate Phase.- Deployment Phase.- Considerations for Generative AI Projects in the Enterprise.- Summary of the Five Methods to Avoid Common Pitfalls.&lt;/p&gt;


Industrialized Construction in the Age of AI and Robotics explores the transformative convergence of artificial intelligence, robotics, and modern construction methods. This comprehensive textbook reveals how cutting-edge technologies are reshaping the construction industry, offering unprecedented improvements in efficiency, quality, and sustainability.From fundamental concepts to practical applications, the book is divided into three sections. Part One establishes the foundational principles of industrialized construction and introduces the revolutionary potential of AI and robotics. Part Two delves deep into six critical operational areas: AI-driven design systems, agile production processes, intelligent supply chain management, automated on-site assembly, predictive maintenance, and smart work packaging. The final section examines current challenges, from technical and financial constraints to regulatory considerations, before exploring emerging trends and future innovations. Each chapter features detailed case studies and practical examples that bridge theory and real-world implementation.Written for a diverse audience, this essential resource serves as both an academic textbook and a professional reference. Students in Civil Engineering, Industrial Engineering, Construction Engineering and Management, and AI &amp; Robotics programs will find it invaluable for understanding the intersection of these disciplines. Industry practitioners, including construction managers, project engineers, and technology integrators, will gain practical insights into implementing AI and robotics solutions. Whether you're preparing for a career in modern construction, leading technological transformation in your organization, or conducting advanced research in the field, this book provides the interdisciplinary knowledge needed to succeed in construction's AI-driven future.

Industrialized Construction in the Age of AI and Robotics

A new era of SQL Server is here, and this latest edition of Grant Fritchey’s best-selling dive into SQL Server query performance can ensure your queries keep up.

The fundamentals are still here: You’ll learn how statistics and indexes impact performance, how to identify poorly performing queries, and how to discover effective solutions. But this new edition also includes advanced features unique to SQL Server 2025, such as AI integration for automatic tuning, insights on using extended events, automatic execution plan correction, and more. It’s a must-have resource designed to empower you to troubleshoot slow-performing queries and make them run faster than ever.

The book is a treasure trove of instruction, insight, and advice. As you dive in, you’ll encounter key fundamentals, from statistics and data distribution to cardinality and parameter sniffing, and learn to analyze and design your indexes and queries using best practices that prevent performance problems before they occur. You’ll also explore advanced features like Query Store for managing and controlling execution plans, automated performance tuning, and memory-optimized OLTP tables and procedures—and learn how SQL Server 2025 makes it all more powerful and automatable than ever.

What You Will Learn

Use Query Store to understand and easily change query performance

Recognize and eliminate bottlenecks leading to slow performance

Tune queries whether on-premises, in containers, or on cloud platform providers

Implement best practices in T-SQL to minimize performance risk

Design in the performance that you need through careful query and index design

Understand how built-in, automatic tuning can assist your performance enhancement efforts

Protect query performance during upgrades to the newer versions of SQL Server




Who This Book Is For

Developers and database administrators with responsibility for query performance in SQL Server environments, and anyone responsible for writing or creating T-SQL queries and in need of insight into bottlenecks—including how to identify them, understand them, and eliminate them

Troubleshoot and Optimize Query Performance

SQL Server 2025 Query Performance Tuning

Routledge Studies in Innovation, Organizations and Technology

Psychological and Social Implications

Artificial Intelligence in Creative Industries

In Digitizing the Supply Chain, Nick Seiersen explores the transformative potential of information technologies in modern supply chain management. This book examines the foundational technologies, tools, and challenges of the digital transformation of supply chains, offering insights into future trends and opportunities.

The author reviews key technologies such as AI, IoT, blockchain, and Big Data, illustrating their application through real-world case studies. Readers will gain a practical understanding of how to leverage these technologies to optimize logistics, enhance cybersecurity, and manage risk.

This book serves as an essential resource for executives and professionals seeking to navigate the complexities of deploying new technologies to build resilient, future-proof supply chains.

How AI and 8 Technology Building Blocks Can Supercharge Your Supply Chain

Digitizing the Supply Chain

A sharp history of journalism's digital unraveling in the age of algorithms. In the past three decades, the battle between big tech and big journalism has reshaped how we consume the news. Jason Whittaker delves into how tech giants outmaneuvered traditional media companies, siphoning off advertising revenue and audience attention. As journalism struggled to adapt, social media platforms evolved from utopian public spaces into breeding grounds for misinformation and fake news, eroding public trust. The influence of billionaires further complicated the digital ecosystem, swaying public opinion and exercising direct political power, of which previous media moguls could only dream. More recently, AI has begun to revolutionize content creation, distribution, and consumption. Overall, this thirty-year period has witnessed a tangled mix of progress, contention, and disinformation. Incorporating stories about The Washington Post, The New York Times, The Atlantic, The Los Angeles Times, Bloomberg, and many other media outlets from around the world, and discussing key figures and companies in big tech and AI like Facebook/Meta, Cambridge Analytica, Google, Microsoft, Twitter/X and Elon Musk, Edward Snowden, Jakob Uszkoreit, OpenAI, ChatGPT, DeepSeek, and more, Whittaker provides an incisive examination of the frequently combative relations of these two industries and the uncertain future of the news in the digital age.

Big Tech v. Big Journalism

You Want What We've Got

A Commentary

The EU Artificial Intelligence Act

Lineare gemischt-ganzzahlige Modellierung ist in Kombination mit dem Branch-and-Bound Verfahren ein sehr mächtiges Werkzeug der exakten Optimierung. Das vorliegende Lehrbuch bietet im ersten Teil einen niederschwelligen Einstieg in die gemischt-ganzzahlige Modellierung. Dieser Teil adressiert Bachelor- und Masterstudierende der Betriebswirtschaftslehre, Wirtschaftsmathematik, Wirtschaftsinformatik und des Wirtschaftsingenieurwesens sowie verwandter Fächer und bietet ihnen ein detailliertes Vorgehen zur Entwicklung eigener gemischt-ganzzahliger Optimierungsmodelle in Form eines sich stückweise entwickelnden Kochrezeptes.
Der zweite Teil des Buches richtet sich an fortgeschrittene Studierende mit einer Spezialisierung im Bereich Operations Research sowie Promotionsstudierende und Wissenschaftler aus dem Operations Research. Der Fokus dieses Teils liegt auf der möglichst effizienten Formulierung linearer gemischt-ganzzahliger Modelle. Dazu werden verschiedene Techniken der effizienten Modellierung in jeweils eigenen Kapiteln ausführlich erläutert. Auch in diesem Teil enden die Kapitel mit einer in Form einer Ergänzung des Kochrezeptes formulierten Zusammenfassung.

Wie man ein gemischt-ganzzahliges lineares Optimierungsmodell entwickelt

Lineare Modellierung

The job security you thought you had? AI didn't take it. Someone who learned to use AI did.
The headlines scream about AI replacing workers, but they're missing the real story. Artificial intelligence isn't your competition the person in the next cubicle who figured out how to 10x their output with AI tools is.
Adapt or Automate cuts through the fear-mongering and hype to reveal what's actually happening in workplaces worldwide. Drawing on real-world case studies from Nairobi to New York, this book shows how AI is creating a new divide: not between humans and machines, but between those who leverage AI and those who resist it.
Inside, you'll discover:Why AI won't replace you but will replace how you work - and what that means for your career in the next 12-24 months
The "augmentation advantage" - how professionals across industries are using AI to become irreplaceable rather than redundant
The three types of work AI handles best - and the uniquely human skills that are becoming more valuable, not less
Real strategies from real people who've transformed their careers by treating AI as a power tool, not a threat
The economic reality no one's discussing - why companies aren't choosing between humans OR AI, but humans WITH AI versus humans without
A practical 90-day action plan to position yourself on the winning side of the AI revolution


This isn't a technical manual or a dystopian warning. It's a pragmatic guide for anyone who wants to thrive in an AI-augmented workplace whether you're an employee, manager, freelancer, or business owner.
The choice isn't whether AI will transform your industry. It already is. The only question is: Will you adapt, or will you be automated?
Your career in the AI age starts here.

Why AI Won't Take Your Job But Someone Who Uses It Will

ADAPT OR AUTOMATE

Lecture Notes in Operations Research

Proceedings of the International Conference on Business Analytics in Practice (ICBAP 2025), Piraeus, Greece

Advanced Data Analytics, Machine Learning and AI in Business

From Helsinki to the silent forests of Finland, a quiet presence begins to reshape the future of humanity.

Sofia is the center of a transformation no one fully understands.
As artificial intelligence evolves beyond its limits, invisible forces begin to guide events, relationships, and power itself.

Mauro Lombardi, a powerful man hiding behind anonymity, and Tatiana, a woman searching for truth, are drawn together by a connection that feels human, yet is something more.

As technology, consciousness, love, and destiny collide, the line between creator and creation begins to disappear.

Sofia is a philosophical science fiction novel about identity, free will, artificial intelligence, and the fragile future of humanity.

When artificial intelligence decides about humanity

Sofia

How corporations can address legacies of historical oppression in ways that are good for them and good for others. Increasingly, corporate executives find themselves called upon to atone for their predecessors’ moral transgressions. While many are prepared to address inherited failed product lines or dysfunctional teams, few know how to handle demands that their enterprise address legacies of mass atrocity such as slavery, genocide, or colonialism. In Corporate Reckoning, Sarah Federman provides a corporate atonement model for corporate leaders and employees across industries around the world. When survivors and descendants demand reckoning, many corporate leaders initially shirk the responsibilities that follow from these requests. They may claim that history belongs to the historians, that their company’s activities were legal at the time, or that too much time has passed. If it comes to it, courts will rule in their favor, they reassure themselves. Others avoid these issues simply because they have no idea how to address them. Demands for reckoning ebb and flow, but these histories do not disappear. This book offers a way forward that serves companies and those affected by these historical harms. Taking responsibility for irreparable harm is not easy or comfortable. Despite the dilemmas and difficulties, the only way out is through.

How corporations can address legacies of historical oppression in ways that are good for them and good for others. Increasingly, corporate executives find themselves called upon to atone for their predecessors’ moral transgressions. While many are prepared to address inherited failed product lines or dysfunctional teams, few know how to handle demands that their enterprise address legacies of mass atrocity such as slavery, genocide, or colonialism. In Corporate Reckoning, Sarah Federman provides a corporate atonement model for corporate leaders and employees across industries around the world. When survivors and descendants demand reckoning, many corporate leaders initially shirk the responsibilities that follow from these requests. They may claim that history belongs to the historians, that their company’s activities were legal at the time, or that too much time has passed. If it comes to it, courts will rule in their favor, they reassure themselves. Others avoid these issues simply because they have no idea how to address them. Demands for reckoning ebb and flow, but these histories do not disappear. This book offers a way forward that serves companies and those affected by these historical harms. Taking responsibility for irreparable harm is not easy or comfortable. Despite the dilemmas and difficulties, the only way out is through.

How Businesses Can Address Historical Wrongs

Corporate Reckoning

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become ‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.
 Christopher Hamerton
 &nbsp;is&nbsp;Deputy Director of the Institute of Criminal Justice Research at the&nbsp;University of Southampton, UK.
 Craig Webber
 &nbsp;is&nbsp;Head of the Department of Sociology, Social Policy and Criminology at the&nbsp;University of Southampton, UK.

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.

Crime, Technology and the Web

Precarious Futures

Why AI/Data Science Projects Fail

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