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Gesamtkatalog

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Huyen C: AI Engineering

AI Engineering

Building Applications with Foundation Models

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

BestMasters

Diese Arbeit befasst sich mit Kundenrezensionen in der Telekommunikationsbranche, wobei moderne Machine Learning Methoden im Bereich Sentiment Analysis und Explainable AI angewendet werden.

Hierbei wird als empirische Studie eine große Mengen an Textdaten aus Online-Bewertungen ausgewertet, um Erkenntnisse über emotionale Tendenzen, wiederkehrende Themenschwerpunkte und Einflussfaktoren auf die Kundenzufriedenheit zu gewinnen. Durch die Einbeziehung von Explainable AI wird eine transparente und nachvollziehbare Interpretation der Ergebnisse möglich. Der entwickelte KI-Ansatz dient als Grundlage für datenbasierte Entscheidungsprozesse und weist durch seine flexible Architektur ein hohes Übertragungspotenzial auf unterschiedliche Branchen auf.

Eine empirische Studie mit dem Einsatz von Sentiment Analysis und Explainable AI

Analyse von Kundenrezensionen in der Telekommunikationsbranche

Digital Sovereignty and Human-Centric AI

In a world increasingly shaped by technology, digital sovereignty is a critical need for nations and organizations to preserve their autonomy. It is more than just control over data and infrastructure; it's about safeguarding values, privacy, and ethics in an era of AI. This concept empowers entities to reduce dependency on foreign tech, ensuring that their digital future reflects their unique priorities and needs. It offers crucial insights for those navigating the shifting technological and geopolitical landscape, providing both thought-provoking theory and practical strategies for achieving digital independence. The book offers a roadmap for navigating the complexities of the adoption of AI, focusing on privacy, security, and the importance of aligning AI with local values. It's a timely guide for anyone invested in the future of technology and geopolitics.This book is essential reading for policymakers, academics, tech practitioners, and anyone concerned with the intersection of AI, digital sovereignty, and cybersecurity.Key Features:<ul> <li>Discusses the improvement of digital sovereignty with reference to AI to meet legal and technological barriers/challenges.</li> <li>Gives the current status of development of Digital sovereignty and its realization.</li> <li>Discusses the improvement of policies regarding digital sovereignty.</li> <li>Covers a broad spectrum of topics that are related to cyber sovereignty, data sovereignty, technological sovereignty, role of AI, industrial applications, data center sovereignty, industrial data space, and others.</li> <li>Functions as a platform for experts in many fields to share their novel insights and showcase the multidisciplinary nature of the field. </li> </ul>

Artificial Intelligence in Context of Digital Sovereignty

Elements in Law, Economics and Politics

This Element provides an overview of FinTech branches and analyzes the associated institutional forces and economic incentives, offering new insights for optimal regulation. First, it establishes a fundamental tension between addressing existing financial inefficiencies and introducing new economic distortions. Second, it demonstrates that today's innovators have evolved from pursuing incremental change through conventional Fin-Tech applications to AI × crypto as the fastest-growing segment. The convergence of previously siloed areas is creating an open-source infrastructure that reduces entry costs and enables more radical innovation, further amplifying change. Yet this transformation introduces legal uncertainty and risks related to liability, cybercrime, taxation, and adjudication. Through case studies across domains, the Element shows that familiar economic tradeoffs persist, suggesting opportunities for boundary-spanning regulation. It offers regulatory solutions, including RegTech frameworks, compliance-incentivizing mechanisms, collaborative governance models, proactive enforcement of mischaracterizations, and alternative legal analogies for AI × crypto.

Past, Present, and Future

FinTech Regulation in the United States

This book analyzes how human resource experts perceive that robots and evolving technologies will impact leadership behaviors and human resource management in the hospitality industry.As with any new technological innovation, organizations must balance the opportunities afforded by robots with the pressures that are placed on existing organizational process and strategy. They need to consider not only economic and technical perspectives, but also the user and organizational perspectives when determining the appropriate use and implementation of robots and other technology. Chapters in this collection explore: service robots, automation, the Green Collar Revolution, social media, and more in multiple hospitality contexts, including all-inclusive resorts and the industry in Türkiye. Robots and their Impact on Hospitality Leadership is ideal for professionals and leaders in the hospitality industry, as well as students within tourism and hospitality courses.

Robots and their Impact on Hospitality Leadership

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

Sustainable Finance

The integration of cutting-edge technologies – such as Artificial Intelligence (AI) and Machine Learning (ML) – combined with a growing emphasis on sustainability and the Sustainable Development Goals (SDGs), is profoundly transforming the business landscape in general, and the fields of Accounting and Finance in particular. This edited volume presents a comprehensive collection of expert insights, research findings, and reflective essays that examine the evolving landscape of Accounting and Finance research, education, and professional practice.
Bringing together diverse perspectives from various scholars worldwide, the book offers readers a deeper understanding of how technology, digitalization, innovation, sustainability, and evolving pedagogical approaches are reshaping the Accounting and Finance domain. Rather than predicting a future in which automation replaces human expertise, it highlights the changing role of Accounting and Finance professionals – emphasizing the need for new skill sets and a mindset that embraces technological advancement while aligning with sustainability goals. This volume serves as a timely and essential resource for anyone seeking to navigate – and contribute to – the profound transformations underway in the Accounting and Finance field.

Embracing Technology, Digitalisation, Sustainability, Education, and Employability

The Future of Accounting and Finance

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

The Complete Step-By-Step Guide to Managing Product Development Using Agile Framework

Scrum

Chapter 1: Six Thinking Dimensions.- Chapter 2: White Dimension - The Factual AI-powered Viewpoint.- Chapter 3: Red Dimension - Feelings and Instincts AI-powered Viewpoint.- Chapter 4: Black Dimension - Judgement and Evidence AI-powered Viewpoint.- Chapter 5: Yellow Dimension - Optimistic AI-powered Viewpoint.- Chapter 6: Green Dimension - Creativity AI-powered Viewpoint.- Chapter 7: Blue Dimension - Process Management AI-powered Viewpoint.- Chapter 8: Six Thinking Dimensions - Holistic AI-powered Viewpoint.

Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions

An Executive Guide to Balancing AI Innovation and Safety

The AI Precipice

Synthesis Lectures on Digital Circuits & Systems

This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino represented a new innovation in microcontroller hardware in 2005, the concept of open source hardware, making a broad range of computing accessible for all.

This book, "Arduino V: AI and Machine Learning," second edition, is an accessible primer on Artificial Intelligence and Machine Learning for those without a deep AI and ML background. The author concentrates on Artificial Intelligence (AI) and Machine Learning (ML) applications for microcontroller–based systems. The intent is to introduce the concepts and allow readers to practice on low cost, accessible Arduino hardware and software. Readers should find this book a starting point, an introduction, to this fascinating field. A number of references are provided for further exploration.

Arduino V: Machine Learning, 2ed

AI Engineering

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