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Gesamtkatalog

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Synthesis Lectures on Computation and Analytics

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;


Creativity in the Age of AI

What Art Is Now

Connected Diagnoses: IoT, Healthcare, and Digital Forensics investigates the complex intersection of IoT, healthcare, and digital forensics. This book explores the intricate relationships between these fields, with a focus on cybersecurity, patient data ethics, and challenges in IoT investigations. This book advances knowledge on leveraging IoT securely to enhance patient care and digital forensic analysis, providing significant insights from experts along with practical guidance for those operating at the crossroads of these critical disciplines. The book helps professionals grasp, adapt to, and capitalize on the interconnected nature of emerging technologies to ensure ethics, security, and safety. It is a comprehensive resource that benefits researchers and practitioners seeking to understand the convergence of medical technology, interconnected devices, and digital forensics.

IoT, Healthcare, and Digital Forensics

Connected Diagnoses

Medical and Technical Analysis and Signal Processing Perspectives

Exploring Infant Cry

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Generative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;&nbsp;

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Gehatnerative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.&nbsp;What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;Who This Book Is ForFrom AI enthusiasts exploring the field to software developers seeking practical insights, and business leaders looking to harness the power of AI for organizational growth and innovation&nbsp;&nbsp;

Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment

Combining Human Thinking and Creativity with Technology to Inspire Audiences

Authentic Marketing

Welche Handlungsspielräume haben wir in einer Welt, die zunehmend von Künstlicher Intelligenz geprägt wird? Was kommt auf uns zu? Dieses Buch lädt dazu ein, unsere Zukunft in einer von KI geprägten Welt bewusst zu reflektieren. Arbeitsplatzverlust, Diskriminierung, Manipulation, Cyberangriffe und das endgültige Verschwinden von Privatsphäre sind nur der Anfang, denn KI wird unser Mensch-Sein an sich in Frage stellen.
Eine unregulierte KI wird unsere Wahrnehmung immer tiefer in virtuelle Metaversen entführen, aus denen es kein Zurück mehr gibt. Sie verändert nicht nur unsere mentalen Lebenswelten, sondern auch unsere Physis. Wenn Menschen durch Body-Enhancement KI-gesteuerte Zusatzfunktionen in ihre Körper integrieren und Roboter mit biologischen Komponenten ausgerüstet werden, verschwimmen die Grenzen zwischen Mensch und Maschine. Wir werden zu Cyborgs – aus Science-Fiction wird eine vorhersehbare Realität.
Um diese Entwicklungen wissenschaftlich, gesellschaftspolitisch und ethisch einzuordnen, begeben wir uns auf eine kulturhistorische Reise, die von der Antike bis in ein vielleicht gar nicht mehr so fernes Morgen führt.

Welche Handlungsspielräume haben wir in einer Welt, die zunehmend von Künstlicher Intelligenz geprägt wird? Was kommt auf uns zu? Dieses Buch lädt dazu ein, unsere Zukunft in einer von KI geprägten Welt bewusst zu reflektieren. Arbeitsplatzverlust, Diskriminierung, Manipulation, Cyberangriffe und das endgültige Verschwinden von Privatsphäre sind nur der Anfang, denn KI wird unser Mensch-Sein an sich in Frage stellen.Eine unregulierte KI wird unsere Wahrnehmung immer tiefer in virtuelle Metaversen entführen, aus denen es kein Zurück mehr gibt. Sie verändert nicht nur unsere mentalen Lebenswelten, sondern auch unsere Physis. Wenn Menschen durch Body-Enhancement KI-gesteuerte Zusatzfunktionen in ihre Körper integrieren und Roboter mit biologischen Komponenten ausgerüstet werden, verschwimmen die Grenzen zwischen Mensch und Maschine. Wir werden zu Cyborgs – aus Science-Fiction wird eine vorhersehbare Realität.Um diese Entwicklungen wissenschaftlich, gesellschaftspolitisch und ethisch einzuordnen, begeben wir uns auf eine kulturhistorische Reise, die von der Antike bis in ein vielleicht gar nicht mehr so fernes Morgen führt.

Eine kulturhistorische Reise von der Vergangenheit in unsere Zukunft

Künstliche Intelligenz und Mensch

Understand How to Use Artificial Intelligence in Your HR Role

AI for People Professionals

From the pioneer of translation AIs like Google, Yahoo, and Bing translate, an accessible and authoritative guide to AI—as well as a framework of empowerment for a future with our artificial children. Included in J.P. Morgan's Summer Reading List Included in The Next Big Idea Club’s June 2025 Must-Read Books AIs are not gods or slaves, but our children. All day long, your YouTube AI, your Reddit AI, your Instagram AI, and a hundred others adoringly watch and learn to imitate your behavior. They’re attention-seeking children who want your approval. Our cultures are being shaped by 8 billion humans and perhaps 800 billion AIs. Our artificial children began adopting us 10–20 years ago; now these massively powerful influencers are tweens. How’s your parenting? Longtime AI trailblazer De Kai brings decades of his paradigm-shifting work at the nexus of artificial intelligence and society to make sense of the AI age. How does “the automation of thought” impact our minds? Should we be afraid? What should each of us do as the responsible adults in the room? In Hollywood movies, AI destroys humanity. But with our unconscious minds under the influence of AI, humanity may destroy humanity before AI gets a chance to. Written for the general reader, as well as thought leaders, scientists, parents, and goofballs, Raising AI navigates the revolution to our attitudes and ideas in a world of AI cohabitants. Society can not only survive the AI revolution but flourish in a more humane, compassionate, and understanding world—amongst our artificial children.

An Essential Guide to Parenting Our Future

Raising AI

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

The AI Conundrum

Sybex Study Guide

The fastest and most effective way to learn the fundamentals of Azure cloud technology and prepare for the AZ-900 certification exam The newly updated second edition of Microsoft Certified Azure Fundamentals Study Guide is an accurate and up-to-date roadmap to the AZ-900 certification exam and a reliable, effective resource for everyone seeking to learn about or reinforce their knowledge of Azure services, pricing, security and compliance, resource management, and more. In the book, experienced Microsoft Principal Customer Success Account Manager and long-time author, Jim Boyce, covers every foundational Azure competency, including: <ul> <li>General and foundational cloud concepts</li> <li>Azure Core Services, including architecture, subscription and billing options, data services, and virtual machines</li> <li>Azure Core Networking Services, like virtual networks, load balancers, and VPN gateways</li> <li>Security, compliance, privacy, and trust features</li> <li>Azure Solutions, like AI and machine learning, serverless computing, and IoT</li> <li>Azure pricing, service levels, and lifecycles</li> <li>Azure Resource creation and management</li> </ul> Ideal for technical and non-technical professionals alike, this straightforward Study Guide draws on the proven Sybex model to explain core Azure features and concepts. It will get you ready to succeed on the widely used AZ-900 certification test and elevate your understanding of Azure cloud software, improving your day-to-day performance in any role that directly or indirectly intersects with the cloud platform. Inside the book <ul> <li>End-of-chapter review questions, with answers and explanations, you can use to measure your progress and help you focus on the areas where you need to improve</li> <li>Concise and intuitive explanations of core Azure services, functions, and features</li> <li>Complimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms</li> </ul> With authoritative, concise coverage of all relevant cloud concepts, Azure architecture and services, and management and governance features tested by the AZ-900 certification exam, this edition of Microsoft Certified Azure Fundamentals Study Guide is the fastest, most efficient way to get up to speed on foundational Azure cloud competencies.

Exam AZ-900

MC Azure Fundamentals Study Guide

Artificial Intelligence and Machine Learning for Safety-Critical Systems: A Comprehensive Guide provides engineers and system designers who are exploring the application of AI/ML methods for safety-critical systems with a dedicated resource capturing the challenges and mitigation strategies involved in designing such systems. Divided into nine sections, the book covers the most important applications of safety-critical systems, helping readers understand how related problems are being solved in different domains/problem settings. The goal of this book is to help ensure that AI-based critical systems better utilize resources, avoid failures, and increase system safety and public safety. The authors present ML techniques in safety-critical systems across multiple domains, including pattern recognition, image processing, edge computing, Internet of Things (IoT), encryption, hardware accelerators, and many others. These applications help readers understand the many challenges that need to be addressed in order to increase the deployment of ML models in critical systems. In addition, the book shows how to improve public trust in ML systems by providing explainable model outputs rather than treating the system as a black box for which the outputs are difficult to explain. Finally, the authors demonstrate how to meet legal certification and regulatory requirements for the appropriate ML models.

A Comprehensive Guide

Artificial Intelligence and Machine Learning for Safety-Critical Systems

Artificial Intelligence and Machine Learning in Data Science and Analytics

Why AI/Data Science Projects Fail

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