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Marleen Grünig

New Work in der Bau- und Immobilienbranche

Auswirkungen auf Mitarbeiterzufriedenheit und Flächennutzung seit der COVID-19-Pandemie

Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications

This book introduces cutting-edge computational optimization techniques designed especially for AI enabled systems. These techniques inculcate advanced algorithms with real world applications to enhance efficiency and accuracy. Its focus on the hybrid and ensemble models makes it stand out, presenting novel and creative solutions for the complex problems. Through case studies and real-world applications the book not only highlights the theoretical aspects of the optimization techniques but also provides a link between theory and practice. With the help of clear explanations and practical examples the book empowers the readers to delve into the complex problems and providing optimized solutions leading to enhancing the performance of AI enabled systems.&nbsp;The book explores the advanced computational optimization techniques covering wide range of topics like nature-inspired algorithms, metaheuristics and hybrid optimization methods. This book caters the need of AI researchers, data scientists and machine learning engineers who aim to optimize their models and algorithms. It will be a valuable resource for the academicians and students studying AI and its related subfield. Professionals in the field of finance, healthcare, agriculture, education where AI applications are prevalent, will benefit from the practical insights provided. Overall, it caters to anyone interested in enhancing AI systems through sophisticated optimization strategies.

Computational Optimization Techniques for Artificial Intelligence Enabled Environments

When ChatGPT was launched in November 2022, it captured the imagination of the public as well as leading companies, including the banking sector. But as people explored ChatGPT they soon found flaws. Lawyers and judges realised they had relied on non-existent case law. Others discovered that ChatGPT claimed to be the author of books and articles that existed long before it was created. Despite these 'hallucinations', banks remain attracted by the claim that AI can answer and ask questions, generate text, draft emails and translate natural language to code. Customer relations have in some cases been improved by using this technology, thus cutting costs and improving productivity and profits. Drawing on original, candid interviews with senior figures in the sector, How AI will revolutionise banking analyses the risks and challenges to banks and their regulators, as well as proposed solutions to issues such as hallucinations. It offers a comprehensive, up-to-date account of this exciting new technology and what it means for the world of finance.

And what it means for banks and their clients

How AI will revolutionise banking

The Fight for the Future of Work

We Are Not Machines

International Series in Operations Research & Management Science

This book presents a rigorous, practitioner-ready framework for determining when interventional causal claims can be validly drawn from observational data. By integrating potential outcomes (PO), structural causal models (SCMs), directed acyclic graphs (DAGs), quasi-experimental and longitudinal designs, information-theoretic approaches, and modern machine-learning methods with decision-analytic principles, it identifies necessary conditions for each step of the causal inference process, from defining estimands and identifying causal effects to study design, measurement, estimation, interpretation, robustness, and external validity. The framework is operationalized through practical checklists, tables, diagnostic and falsification tests, and AI-assisted tools, making it accessible across fields such as epidemiology, environmental and occupational health, and regulatory risk analysis. Designed to meet the needs of professionals making high-stakes decisions based on nonexperimental data, the book addresses the lack of clear, testable criteria for credible causal inference. Real-world examples throughout the book illustrate diagnostics, falsification tests, and robustness checks, linking evidence directly to decision-making. Bridging multiple causal frameworks and modern machine-learning methods, it equips readers to assess when data support cause-and-effect conclusions, supporting more responsible, evidence-based policy and risk management.The book offers health risk analysts, epidemiologists, and policy professionals a practical guide to valid causal inference from observational data. It is also ideal for graduate students and workshop participants in data science, decision analysis, risk analysis, and AI/ML applications.

Valid Causal Inference from Observational Data

nuggets

Co-Creation beschreibt eine moderne Art des Zusammenarbeitens. Dabei ist Co-Creation mehr als die Einbeziehung von Kunden oder Stakeholdern, mehr als Kooperation und Kollaboration. Gleichzeitig ist Co-Creation kein Allheilmittel, das immer passt und für jegliche Teams und Produkte anwendbar ist. Wie lässt sich also Co-Creation bei der Durchführung von Projekten integrieren? Wen oder was braucht es dafür? Dieses Buch geht diesen Fragen nach und beleuchtet Rahmenbedingungen, Personen und Werkzeuge für eine wirkungsvolle Umsetzung von Co-Creation für Projekte. Damit beschreibt dieses Buch einen besonderen Aspekt im Spannungsfeld zwischen klassischen Handlungsweisen in Projekten und modernen Arbeitsweisen und gibt allen Beteiligten in Projekten, besonders Projektleitern oder Produktmanagern sowie auch Agilen Mastern oder Product Ownern Impulse für die Arbeit mit ihren Teams.

Co-Creation und Projektmanagement

Design AI-powered learning experiences that drive engagement, performance and measurable business impact. Learning Experience Design by Donald Clark is a strategic guide for senior learning professionals who need to modernize learning in an AI-driven world. As organizations adopt generative technologies, this book shows how to move beyond outdated course-led models and build adaptive, human-centred learning ecosystems.Focusing on the evolving role of the learning designer, this updated edition combines learning science, data insight and AI capability to help you design scalable, personalized and effective learning strategies. Drawing on research and real-world examples, it addresses the critical challenges of engagement, ethics and skills sustainability.You will learn how to: -Design AI-enabled learning experiences that adapt to learner needs - Use data, context and performance signals to personalize learning - Integrate simulations, games and workflow learning effectively - Employ ethical AI use and support sustainable skills development - Lead AI learning projects and embed learning into daily workThis book equips you to lead the transformation of learning, delivering smarter, scalable and more impactful outcomes across your organization.Themes include: learning experience design, AI in learning, adaptive learning, workplace learning, learning strategy, performance support

How to Build Effective Learning in the Age of AI

Learning Experience Design

Dieses Buch zeigt: Digitale Transformation in KMU ist weit mehr als technologische Modernisierung - sie berührt Verantwortlichkeiten, Führungsverständnis, Lernprozesse, Unternehmenskultur und den Einsatz begrenzter Ressourcen. Mit wissenschaftlicher Tiefe und hoher Praxisrelevanz legen die Autorinnen und Autoren wegweisend dar, wie KMU diesen Prozess in unterschiedlichen organisationalen und branchenspezifischen Kontexten gestalten können. Dazu gehören auch kulturelle Veränderungen, etwa neue Anforderungen an das Arbeitsleben und an die Weiterbildung der Mitarbeitenden. Verschiedene Fallbeispiele aus KMU beleuchten, was gut funktioniert und wo man besser nicht direkt aufspringt.

Intelligente Prozesse für mehr Wertschöpfung und Mitarbeiterkompetenz

Digitale Transformation in KMU

How Language Became a Production System in the AI Era

The Language Infrastructure

Haufe Fachbuch

Die vertrieblichen Anforderungen in der Wohnungsvermietung sind heutzutage viel höher als noch vor wenigen Jahren, ebenso ist der Vermietungsprozess deutlich komplexer. Vermietung bedeutet heute mehr, als nur ein Inserat zu schalten und die Wohnungstür für Interessenten aufzuschließen. Dieses Praxishandbuch unterstützt Führungskräfte sowie Praktikerinnen und Praktiker bei der strategischen Vermietung von Wohnungsbeständen. Außerdem gibt es ihnen im operativen Vermietungsgeschäft einen Wegweiser an die Hand, der alle Facetten der Vermietung beleuchtet.
Inhalte:
<ul><li>Angebot und Nachfrage, praxisorientierte Produkt- und Kundenanalyse</li><li>Systematischer Wohnungsvertrieb: Personal, vertriebsoptimierte Wohnungsvermarktung, praxisorientierte Vertriebsprozesse</li><li>Interne, externe und hybride Vermietungssteuerung in Unternehmen</li><li>Controlling &amp; Reporting</li><li>Die 10 Komponenten des Vermietungserfolgs</li></ul>
Neu in der 2. Auflage:
<ul><li>Vermietung unter neuen Marktbedingungen u. a. kürzere Vermarktungszeiten, marktorientierte Mietpreisfindung in angespannten Teilmärkten</li><li>KI-gestützte Interessentenqualifizierung u. v. m</li></ul>

Wohnungsvermietung in der Immobilienwirtschaft

Praxishandbuch Vermietungsvertrieb

'Michael Auerbach has one of the most original minds I've ever encountered . . . This is a dazzling and entertaining book . . . But it is also an urgent warning' PATRICK RADDEN KEEFE, author of Empire of Pain A brilliant exploration of the phenomenon of prediction markets that asks: what happens when democracy becomes another commodity? Prediction markets are sweeping the world, fundamentally changing the nature of gambling - and the very ways in which we attempt to divine the future. Posed as binary 'Yes/No' questions about future events, prediction markets allow any difference of opinion - whether on pop culture or politics, wars or assassinations - to be financialised. A regulatory minefield with moral implications that divide nations, governments and bettors, they have proved as effective at accurately predicting the timing of missile strikes as they have at calling the outcomes of elections.But are these markets really a new phenomenon? And what does it mean when those tasked with safeguarding democracy hold financial stakes in its volatility?From Renaissance Rome, where merchants wagered on papal conclaves, through nineteenth-century London's wartime coffee house gossip, to the Pentagon's ill-fated terrorism futures exchange and blockchain-based betting on Polymarket today, The Big Bet tells the gripping five-hundred-year story of a permissive regime that no one designed and no one voted for.Drawing on deep expertise, Michael Auerbach examines how these markets are changing our world, and what they mean for the future where democracy becomes just another commodity to be priced and traded. Because prediction markets are not an anomaly - they are the logical endpoint of a society that has applied market capitalism to every aspect of life. And in a world where everything is a wager and nothing is off limits, knowing where the chips will fall matters more than ever.

New Work in der Bau- und Immobilienbranche

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