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Mims C: How to AI / LF

How to AI

Cut through the hype. Master the basics. Transform your work

Empirische Ethik der Digitalisierung

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

The digital revolution has significantly transformed the global business landscape. As digital technologies continue to disrupt traditional business models, organizations across sectors are compelled to rethink their strategies for growth, resilience, and sustainability. The convergence of innovation, artificial intelligence, big data, blockchain, and digital marketing has not only created new avenues for competitiveness but also brought forth complex challenges for businesses aiming to stay relevant in a rapidly evolving ecosystem. This book, "Navigating Digital Disruption - Strategies for Sustainable Business Management", is a scholarly compilation of selected research papers presented at the International Conference on Advanced Research in Digital Age (ICARD-25) held at BIITM, Bhubaneswar. The contributions in this volume stem from rigorous academic inquiry and practical insights, aimed at offering a roadmap for managing digital trans¿formation while ensuring sustainability.

Navigating Digital Disruption: Strategies for sustainable business management

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

In today's tech-infused workplace, human creativity is the key to public relations writing that will set you apart from the crowd. Effective PR writing goes beyond templates and traditional techniques to focus on purposeful messages that build trust, foster human relationships, and resonate across diverse audiences. Using AI as a coworker can speed execution and assist with editing, but you are still in charge of the uniquely human elements of empathy, storytelling, and judgment. From press releases to modern AI-powered skills, this hands-on guide gets you writing from day one, crafting clear, strategic, and persuasive content tailored for specific platforms. A pantry of "What" and "How" essentials includes: -How PR campaigns work -Giving and receiving writing feedback -AP style tips and helpful AI terms -Writing SMART Objectives &gt;Learn to find your creative voice by optimizing copy for different platforms, leveraging keywords, and growing your confidence, creativity, and adaptability. Whether you're writing press releases, pitches, and fact sheets or perfecting social media copy, long-form pieces, or speeches, your human-centered skills make you the problem-solver for any team. Become one of today's PR leaders by crafting meaningful messages that truly engage with audiences. This book shows you how!

The PR Writing Workshop

Predictable Ops is a practical leadership framework for IT operations leaders and their business partners navigating the complexities of AI-driven transformation. The book delivers eight clear rules grouped into two tracks: Operational Trust and Preparation &amp; Foresight. This system helps leaders build reliable, cost-aware, resilient services — and lead decisively when machine-driven insights must be balanced with human judgment.

Each rule includes real-world anecdotes — from cloud migrations and vendor licensing negotiations to critical incident communications and team accountability gaps. Predictable Ops makes the system repeatable through reflection questions, templates, and ‘Try It This Week’ actions.

Where other books focus narrowly on DevOps, SRE, or AI strategy, Predictable Ops bridges the daily realities of operations leaders who must stabilize services while explaining the risks and value of AI to partners who depend on them.

With trust, clear forecasting, transparent communication, and decisive leadership, Predictable Ops shows readers how to deliver services that stay stable, boring, and trusted — so that AI and future platforms multiply value instead of chaos.

Predictable Ops 
 is a practical leadership framework for IT operations leaders and their business partners navigating the complexities of AI-driven transformation. The book delivers eight clear rules grouped into two tracks: Operational Trust and Preparation &amp; Foresight. This system helps leaders build reliable, cost-aware, resilient services — and lead decisively when machine-driven insights must be balanced with human judgment.
 
 Each rule includes real-world anecdotes — from cloud migrations and vendor licensing negotiations to critical incident communications and team accountability gaps.&nbsp;
 Predictable Ops
 makes the system repeatable through reflection questions, templates, and ‘Try It This Week’ actions.
 Where other books focus narrowly on DevOps, SRE, or AI strategy, Predictable Ops bridges the daily realities of operations leaders who must stabilize services while explaining the risks and value of AI to partners who depend on them.
 With trust, clear forecasting, transparent communication, and decisive leadership,&nbsp;
 Predictable Ops
 shows readers how to deliver services that stay stable, boring, and trusted — so that AI and future platforms multiply value instead of chaos.
 &nbsp;

Leading IT in the Age of AI

Predictable Ops

This open access book critically analyses a wide range of consumer law issues generated or exacerbated by the Internet of Things. The Internet of Things challenges many of the dichotomies which have shaped current laws: goods-services, hardware-software, tangible-intangible, online-offline. The book focuses on 4 specific challenges: things-as-service, liability, bricking of physical devices through software control, and the potential for enhanced personalisation, especially for digital assistants. The chapters analyse specific applications such as smart homes, connected cars, and consumer wearables with a view to providing innovative solutions to the new challenges posed by the Internet of Things, and to steer the development of the Internet of Things in a fairer direction. As well as offering an important analysis of the potential for smart consumer laws in the Internet of Things, the book also provides important insights into the growing divergence between Germany's and the UK's consumer laws since Brexit. The ebook editions of this book are available open access under a CC BY 4.0 licence on bloomsburycollections.com. Open access was funded by UKRI (Arts and Humanities Research Council) and the German Research Foundation (DFG).

Lessons from Germany and the United Kingdom

From Smart Technologies to Smart Consumer Law

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

With the promise of greater efficiency and effectiveness, public authorities have increasingly turned to algorithmic systems to regulate and govern society. In Algorithmic Rule By Law, Nathalie Smuha examines this reliance on algorithmic regulation and shows how it can erode the rule of law. Drawing on extensive research and examples, Smuha argues that outsourcing important administrative decisions to algorithmic systems undermines core principles of democracy. Smuha further demonstrates that this risk is far from hypothetical or one that can be relegated to authoritarian regimes, as many of her examples are drawn from public authorities in liberal democracies that are already making use of algorithmic regulation. Focusing on the European Union, Smuha argues that the EU's digital agenda is misaligned with its aim to protect the rule of law. Novel and timely, this book should be read by anyone interested in the intersection of law, technology, and government. This title is also available as open access on Cambridge Core.

How Algorithmic Regulation in the Public Sector Erodes the Rule of Law

Algorithmic Rule By Law

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

Management for Professionals

While tenders for IT managed services have evolved, key areas that drive significant business value for customers have seen limited improvement. When collaboration between IT service providers and customers stagnates, the next innovation cycle may not begin for another three years. In today’s fast-paced business environment, few industries can afford such delays. Adaptive IT tenders aim to shorten this cycle, with a stronger focus on innovation and collaboration. These approaches are not just suited to agile companies, but also to more traditional organisations.
This book provides all stakeholders involved in the tendering and management of IT services with a practical set of methods for adaptive tendering. Whether you are part of the executive board, management, a specialist department, IT, sales, purchasing, legal, consulting, or operations, the book offers in-depth guidance on adaptive strategies, comparing them to traditional approaches. Additionally, a glossary is included to ensure clarity and help close any knowledge gaps.

The Path to Agile and Effective IT Outsourcing

Adaptive IT Service Tendering

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

How to AI

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