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Technology-Driven Market Transformations
for Digital Fashion and Smart Luxury

Technology-Driven Market Transformations for Digital Fashion and Smart Luxury

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

Boost your AI quotient for AI-ready leadership.Most leaders know that AI can deliver efficiency gains, making it a company priority in a challenging business environment. But the pace of change is outstripping their ability to adapt. More than 75% of leaders report that AI is creating challenges they have never faced before and these new challenges, anxieties and uncertainty about the future are creating a 'readiness gap'.AI-Q, your AI Quotient, is both a new metric for assessing readiness and a framework for building it. Use the AI-Q MAP (Mindset, Abilities and Practices) to: <ul> <li> assess where you are today </li> <li> identify the critical gaps, and </li> <li> build the leadership and organizational capabilities you need to ensure your AI investments deliver returns. </li> </ul>Futurist and economist Athena Peppes draws on research from leading institutions and expert interviews to offer a new approach to AI-readiness, the new critical leadership capability in the human+AI era.

The new leadership imperative for the Human+AI era

AI-Q

Das erste Lexikon im Fintech-Bereich stellt mit über 800 Stichworten einschlägiges Know-how zur „Financial Technology“ bereit und hilft damit bei der Klärung aktueller Begrifflichkeiten. Dem interdisziplinären Charakter der Fintech-Entwicklung zufolge sind die Begriffe an der Schnittstelle von (Wirtschafts-)Informatik, Finanzwissenschaft und Innovationsmanagement verortet. Die Fintech-Terminologie richtet sich dabei mit ihren konzise beschriebenen und mit anschaulichen Grafiken ergänzten Inhalten gleichermaßen an Studierende sowie Interessierte aus Wissenschaft und Praxis.
 
 Die AutorenProf. Dr. Rainer Alt ist Professor für Wirtschaftsinformatik an der Universität Leipzig und Autor zahlreicher Publikationen im Fintech-Bereich.&nbsp;Dr. Stefan Huch ist Senior Director bei Capgemini Invent und vertritt die Professur Digitalisierung von Unternehmensprozessen an der Hochschule Merseburg.
 
 Würdigungen„Aus meiner Sicht als Führungskraft einer global agierenden Bank ist das Fintech-Lexikon ein sehr gelungenes Nachschlagewerk, das alle relevanten Begrifflichkeiten in einer sehr verständlichen Art strukturiert darstellt und erläutert- eine gute Stütze, um in der Praxis die relevanten Begrifflichkeiten der Fintech-Szene im Überblick zu haben." Achim Lebeau, COO, DB Privat- und Firmenkunden AG„Selbst gründen bedeutet in vielen Bereichen ins kalte Wasser geworfen zu werden. Man muss in kürzester Zeit zum Allround-Experten werden: im Sales, im Marketing, im Finance oder im Fundraising. Hier eine strukturierte Übersicht aller Begrifflichkeiten der Startup-Welt an der Hand zu haben, ist eine enorme Hilfe.“ Jenny Saft, Geschäftsführung und Co-Founderin, Oviavo GmbH„Dieses Fintech-Lexikon bietet einen hervorragenden Orientierungsrahmen, indem es alle relevanten Begrifflichkeiten im Kontext der digitalisierten Finanzwelt aufgreift. Diese sind konsequent strukturiert und inverständlichen Worten definiert. Ein wertvoller Beitrag für die Praxis.“ Thomas Zerndt, CEO, Business Engineering Institute St. Gallen AG

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon

The AI Revolution Isn't Coming. It's Already Here.

Leading AI Well is the AI education your MBA didn't include. Using the improv principle of "yes, and" - accept reality, then build on it - Jason D. Baker gives leaders the frameworks to act decisively without becoming technical experts. 

What's inside:What happens to your business model when AI makes your core offerings abundant? 
Why your competitive moat may be deeper, or more fragile, then you think. 
How to answer the question your competitors can't: why do customers still need you? 
Why AI implementation gets worse before it gets better, and how to lead through it. 



This book won't tell you which tools to buy. It will teach you have to think strategically about a transformation that's already underway.

Will you block or will you build?

About the Author

Dr. Jason D. Baker is Associate Provost and Director of Regent University's Institute for Technology Innovation. His work has ranged from internet startups to DoD satellite systems, bridging engineering, data science, and educational leadership. He holds degrees from the University of Pennsylvania, Bucknell University, and George Washington University. His career has been defined by a single throughline: use technology to help people &amp; help people use technology.

An Executive's Guide to AI Strategy

Leading AI Well

As fears of agentic obsolescence abound, organizations are struggling to implement AI in ways that enhance rather than replace human work. This unique book introduces a full-stack approach that balances technological capability with human values, ethics and practical applications. AI at Work provides a framework that moves beyond scattered AI experiments toward a coherent strategy that will run throughout your entire company. Rather than focusing on technical capabilities or dystopian warnings, it utilizes a full-stack approach to harness AI's benefits while preserving what matters most - a firm's people, its values and its unique organizational identity. The global AI market is projected to reach $1.8 trillion by 2030, with organizations across sectors racing to implement AI solutions. However, whilst 83% of executives report that AI is a top priority for their organization, only 23% have a comprehensive implementation strategy. This book fills a critical gap between theoretical AI books and technical implementation guides by offering: · A practical framework applicable across industries; · Equal emphasis on technological capability, ethical considerations and real-world applications; · A human-centred approach that addresses concerns about AI replacing workers; and · Case studies and examples from diverse sectors.

How to build a full stack organization

AI at Work

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

Contributions to Management Science

Renewed Theoretical Bases and New Paradigms

Artificial Intelligence Transforming Marketing

Recursions

A Media Theory of Machine Learning

Errant Intelligence

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

Das Buch zeichnet die grundstürzende Demontage des Subjekts durch den grassierenden Einfluss der Sozialen Medien, der Künstlichen Intelligenz und des Transhumanismus nach. Ausgehend von einer vielschichtigen Analyse des tradierten Subjektbegriffs wird deutlich, dass das Subjekt nur eine philosophische Fiktion ist. Vor diesem Hintergrund stellt sich die Frage, von welchem Standpunkt aus seiner - im Unterschied zur philosophischen und psychologischen Subjektkritik - unreflektierten und theorielosen Demontage dennoch etwas entgegengesetzt werden kann. Vorgeschlagen wird ein existenzieller Bezug auf das Nichtidentische als Statthalter des individuell Besonderen im Sinne Adornos. Damit werden die klassischen Subjektattribute - Vernunft, freier Wille, Handlungsfreiheit und Autonomie - umgangen, während das Individuelle in seiner Abgrenzung gegen das Allgemeine bewahrt und gerettet wird.

Soziale Medien, Künstliche Intelligenz, Transhumanismus

Demontage des Subjekts

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
 
 Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

Artificial Security and the Politics of Hype in the EU

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

Technology-Driven Market Transformations for Digital Fashion and Smart Luxury

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