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Gesamtkatalog

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Computer Science (R0)

Federico Cecconi

AI in the Financial Markets

New Algorithms and Solutions

&lt;p&gt;Chapter 1. Artificial Intelligence and Financial Markets.- Chapter 2. AI, the overall picture.- Chapter 3. Financial markets: values, dynamics, problems.- Chapter 4. The AI's Role in the Great Reset.- Chapter 5. AI Fintech: find out the truth.- Chapter 6. ABM applications to Financial Markets.- Chapter 7. ML application to the Financial Market.- Chapter 8. AI tools for pricing of distressed asset utp and npl loan portfolios.- Chapter 9. More than data science: FuturICT 2.0.- Chapter 10. Opinion dynamics.&lt;/p&gt;&lt;br&gt;&lt;p&gt;&lt;/p&gt;

This book is the first investigation of the relationship between EU digital sovereignty and sustainability strategies. It maps the ambitions and limitations of EU digital strategic autonomy and explores the structural challenges underlying its relationship with its green transition objectives in the context of the ongoing wars in neighbouring European countries and the consequent tensions in the EU energy sector. The EU is racing to achieve technological independence from third countries and foreign multinational companies to protect its digital sovereignty and preserve its fundamental rights. In the EU, digitalisation and the green transformation are seen as twin transitions. Yet, EU digital sovereignty strategies have a significant environmental cost. Reaching a status of strategic autonomy of the EU at the level of digital infrastructures, products, services and data implies higher energy consumption and exploitation of natural resources. Moreover, the geopolitical tensions following the Russian invasion of Ukraine have provoked an unprecedented energy crisis, which is affecting EU economies and impacting objectives of the twin transitions. The book offers an interdisciplinary analysis of the major EU regulatory and policy instruments in this field, providing an invaluable guide for academics, practitioners, and policymakers navigating the complex issues of preserving digital sovereignty and addressing climate change in times of war and energy crisis.

EU Challenges in Times of War and Energy Crisis

Digital Sovereignty and the Green Transition

Offers an alternate trajectory for EU copyright law to adequately respond to new forms of creativity

Creative Reuse

Reshaping EU Copyright Law to Support Creativity Online

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

Dieses Buch hilft dem Leser im Umfeld der Digitalisierung bei der Begriffsklärung und stellt einschlägiges Know-how zur Verfügung.&nbsp;Was bedeutet 42? Was ist eine Subchain? Was ist der Unterschied zwischen Robotics und Artificial Intelligence? Der Schwerpunkt liegt dabei auf den Entwicklungen, die seit 2010 mit der Digitalisierung unter dem Namen "Financial Technology" eine zunehmende Verbreitung erlebt haben. Die Begrifflichkeiten umfassen grundlegende Begriffe, die Eingang in die allgemeine Sprache gefunden haben, wie etwa Artificial Intelligence oder Blockchain, aber auch fachspezifische Termini, die für das Verständnis der einzelnen Technologien notwendig sind (zum Beispiel 42, Nonce). Die Fintech-Terminologie bietet dem Leser einen konzisen und gleichzeitig anschaulich dargestellten alphabetisch geordneten Überblick mit den darin enthaltenen praxisorientierten Antworten.

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon

The AI Strategy Playbook tackles the biggest paradox of our time: while AI grows exponentially more powerful and affordable, most organizations remain stuck in pilots that never scale. The result is frustration, "AI fatigue," and missed opportunities. This book delivers a practical, structured roadmap that has already guided thousands of executives on how to embed AI into strategy, operations, and business models.Combining academic rigor with hands-on frameworks, global strategy expert René Bohnsack introduces four AI Stacks that every leader needs: the Skill Stack, the Transformation Stack, the Strategy Stack, and the Governance &amp; Control Stack. Together, they help executives move step by step from isolated experimentation to full integration of AI into organizations. The playbook is practical and tested:<ul> <li>The Skill Stack teaches prompting, responsible use, tools use, co-intelligence, and AI mastery.</li> <li>The Transformation Stack provides tools and tactics to move from experimentation with AI to acceleration of use cases and full integration.</li> <li>The Strategy Stack adapts the Play-to-Win model for the AI era, guiding leaders through aspiration, opportunity mapping, building AI moats, designing an AI business model, and creating a roadmap including data readiness.</li> <li>The Governance &amp; Control Stack ensures governance across five dimensions - operational, ethical, legal, environmental, and strategic - and measures progress through the AI Balanced Scorecard.</li> </ul>This book provides the tools, language, and confidence for leaders to act decisively. Readers will not only understand AI's strategic implications but will gain a practical playbook to lead transformation. AI Strategy Playbook: From Zero to 100 is the essential guide for leaders determined to move past hype, avoid paralysis, and create lasting advantage in the age of AI.

From Zero to 100

The AI Strategy Playbook

Most composition textbooks begin with skills like thesis writing and paragraph structure. This one begins with a person. Writing as Self-Design is a transformative textbook in which students examine control of information and discover their agency in meaning-making. Informed by neuroscience, rhetorical theory, digital literacy, and composition pedagogy, this book challenges students to question how meaning is made, filtered, and constrained in the digital age, and to develop their unique voices through composition strategies that reclaim writing as an act of self-design. It is a book which responds to the technological landscape in which we find ourselves. Rather than convincing students of the value of research and writing, Writing as Self-Design allows them to discover their own emotional value through enhanced agency in inquiry and resistance. Through this textbook, composition becomes a space in which students question information control, the hedonic cycle of passive consumption, and their greater agency in creativity and intentional design. Recognizing the ubiquity of tools like AI, this book encourages critical examination of how and why they are used. Students engage with algorithmic bias, misinformation, datafication, and the influence of platforms like Google, TikTok, and ChatGPT: not just as topics, but as forces that shape the way they think, write, and relate to the world. The value of Writing as Self-Design will resonate well beyond the classroom, addressing the importance of the critical skills needed to navigate the "total noise" of our media-saturated lives, build personal definitions of success, and rediscover the creative cycle that leads to lasting happiness and fulfilment.

Finding Voice and Agency Through Composition

Writing as Self-Design

Dieses Lehrbuch stellt die wesentlichen Methoden und Anwendungsgebiete der Künstlichen Intelligenz und der Analyse großer Datenmengen bei Finanzintermediären und Industrieunternehmen im Bereich der Finanzwirtschaft dar. Es&nbsp;vermittelt die Grundlagen und fortgeschrittene Methoden der KI und ihrer Anwendungen in der Finanzwirtschaft und&nbsp;unterstützt bei der Vorbereitung auf das Berufsleben im quantitativen Asset- und Risikomanagement. Das Buch kann begleitend zu universitären Lehrveranstaltungen im Bereich Financial Data Analytics, Risiko- und Investmentmanagement benutzt werden.

Daten, Methoden und Anwendungen

Künstliche Intelligenz in der Finanzwirtschaft

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

New Information Communication Technologies in the Digital Era

Master's Thesis from the year 2025 in the subject Leadership and Human Resources - Recruiting, grade: 1,2, University of Applied Sciences Dortmund, language: English, abstract: This master's thesis explores the role of artificial intelligence (AI) in modern recruitment processes with a particular focus on applicants' trust. As digitalization and AI increasingly transform the world of work, organizations are adopting AI-supported recruiting tools to enhance efficiency, standardization, and data-driven decision-making. At the same time, the use of AI in personnel selection raises important questions regarding transparency, fairness, and acceptance from the applicants' perspective.

The objective of this thesis is to examine how applicants perceive AI-assisted recruitment processes and which aspects are relevant for the development of trust in this context. To address this research objective, a qualitative research design was chosen. Semi-structured interviews were conducted with participants who had either experienced AI-supported recruitment processes or reflected on their expectations toward such processes.

The empirical data were analyzed using qualitative content analysis following Kuckartz' approach. This method allows for a systematic examination of subjective perceptions, attitudes, and evaluations, while combining theory-driven and data-driven coding. The analysis focuses on applicants' experiences with different forms of AI usage in recruitment, their expectations toward human and technological decision-making, and their assessment of AI-supported processes within the broader candidate journey.

By linking theoretical concepts of trust in technology with empirical insights from applicants, this thesis contributes to the growing body of literature on AI in recruiting. In addition, it provides a structured foundation for further academic research and offers valuable insights for organizations seeking to better understand applicant perspectives on AI-supported recruitment processes.

Artificial intelligence in the recruitment process. How can companies gain applicants' trust?

A Comprehensive Introduction

Financial Technology

A year of HBR's essential thinking on tech--all in one place.From gen AI to EVs to advanced digital collaboration tools, new tech innovations are reshaping organizations from the factory floor to the C-suite. What should you and your company be doing right now to take advantage of the opportunities these technologies are creating--and to avoid falling victim to disruption?The Year in Tech, 2027: The Insights You Need from Harvard Business Review will help you understand what the latest and most important applications of new tech mean for your organization and how you can use them to compete and win in today's turbulent business environment.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.

The Year in Tech, 2027: The Insights You Need from Harvard Business Review

Accelerating Innovation in the Age of Artificial Intelligence

SuperCreativity

AI in the Financial Markets

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