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Future of Business and Finance

Project management (PM) has been an essential area that deals with various decision-making problems. It offers various opportunities to conduct academic studies, formulate new models to solve business problems, and develop software and decision support systems (DSS). It has been attracting the attention of academicians and professionals involved in project teams who studied different disciplines. This book explores contemporary industry problems and trends and related promising research areas, shedding light on the future of project management. It contains chapters that focus on new technology applications and organizational trends. The book comprises two parts: new technologies and recent developments in organizing projects. An important characteristic of this book is to gather the managers and academics who conduct theoretical studies in this field to discuss the future of project management.&nbsp;The discussion topics include how data analytics and artificial intelligence developments might shape project life cycle management and how the fourth/fifth Industrial Revolution and the new technologies will transform project management practices. The importance of sustainability in project management practices is elaborated on. Recent developments in the organization of projects, such as adopting agile techniques, establishing project management offices, and developing maturity models, are discussed.&nbsp;

As such, the book is aimed at a diverse audience of undergraduate and graduate students and practitioners seeking to develop their project management knowledge.

Agile Decision Making, Sustainability and AI

Tomorrow's Data Empowered Project Management

Schriften zum Bürgerlichen Recht

'Interpretation of Automated Contractual Transactions': Automated devices are increasingly being used in legal transactions - from simple vending machines to AI. Humans as actors in legal transactions, as understood in the base concept of the German Civil Code (BGB), are playing an increasingly minor role in more and more cases. This thesis analyses the effects on interpretative doctrine within the context of the legal, technical and psychological foundations of legal communication in the form of declarations of will and contracts.

Auslegung von Willenserklärungen und Verträgen im automatisierten Geschäftsverkehr

Get the eBook free when you register your print book at Manning. You just built something amazing in Python and you’re ready to share it with the world! But does shipping it to the web mean…learning JavaScript? With the Streamlit framework, you can build interactive web apps entirely in Python incredibly fast. By providing a collection of pre-built UI components and streamlined configurations, Streamlit turns your ideas for data tools and AI workflows into usable applications without any tedious HTML, CSS, and JavaScript. Build Python Web Apps with Streamlit follows a proven learn-by-building approach. Each chapter introduces a new hands-on project. You’ll create data dashboards, interactive checklists, and even an AI chatbot optimized with RAG and agentic patterns. You’ll also learn from intentional mistakes and real-world debugging challenges that teach you how Streamlit actually works. As you go, each project helps you master software engineering skills you might not have learned as a Python programmer—gathering requirements, persistence and database integration, user authentication, deployment, and troubleshooting. • Build interactive web apps without HTML/CSS/JavaScript • Understand Streamlit’s execution model • Work with databases and persistent data • Create and deploy production-grade architectures • Implement user authentication and authorization • Build AI-powered applications with LLMs • Develop dashboards, and visualizations • Implement security best practices About the technology With the Streamlit framework, you can build interactive web apps entirely in Python incredibly fast. By providing a collection of pre-built UI components and streamlined configurations, Streamlit turns your ideas for data tools and AI workflows into usable applications without any tedious HTML, CSS, and JavaScript. About the book Build Python Web Apps with Streamlit follows a proven learn-by-building approach. Each chapter introduces a new hands-on project. You’ll create data dashboards, interactive checklists, and even an AI chatbot optimized with RAG and agentic patterns. As you go, you’ll practice debugging, deployment, database integration and other software engineering skills. What's inside • Understand Streamlit’s execution model • Work with databases and persistent data • Implement user authentication and authorization • Build AI-powered applications About the reader For Python programmers. No web app or AI skills required. About the author Aneev Kochakadan is a software engineer at OpenAI, with prior experience at Stripe and Google. He has designed and built systems ranging from online transactional services to data pipelines and business intelligence tools. Table of Contents Part 1 1 Introduction to Streamlit 2 Getting started with Streamlit 3 Taking an app from concept to code 4 Streamlit’s execution model 5 Sharing your apps with the world Part 2 6 A dashboard fit for a CEO 7 The CEO strikes back: Supercharging the dashboard 8 Building a CRUD app with Streamlit Part 3 9 Creating an AI-powered application 10 RAG and agentic apps with LangGraph and Streamlit Part 4 11 Testing Streamlit apps 12 Packaging and deploying Streamlit apps Appendixes A Installing Python and Streamlit

Build Python Web Apps with Streamlit

Inventory Optimization

The book provides various research methods and ordering policies for inventory management in the sustainable environment in India. Sustainable inventory management is an area in which more studies from India are needed. In the age where global warming, environmental disasters, and increased public awareness about environmental issues encourage countries to reduce greenhouse gas (GHG) emissions, this book includes a collection of research studies that elaborate various inventory models to determine optimal ordering policy and provide helpful suggestions for reduction in carbon emission while managing inventory. The book is beneficial for practitioners, educators, and researchers in India and other countries. It is also helpful for retailers/managers to improve business functions and make more accurate and realistic decisions.

Perspectives from India

Sustainable Inventory Management

This book is a machine-generated literature overview of the legal and ethical debates over privacy and data protection measures in the last three decades, showcasing the expectations vis-à-vis realities of their presence and application in different sectors. The&nbsp; book identifies the role and application of consent in different situations. Over time, consent in its various forms and types, informed, explicit and otherwise, ensured data subjects have a measured understanding of the purpose of data processing. The idea of consent with time has been challenging to implement with the rapid advancement of research in different areas. It remains the most critical fulcrum, yet there are instances when the implementation continues to challenge.&nbsp;Owing to the nature of this sub-discipline, it remains a work in progress yet portrays a comprehensive range of issues. The entire narrative is being explored through two such machine-generated overview volumes and this is the first of the two. These volumes have consciously tried to remain both jurisdictional and technology neutral while considering a range of data protection and privacy issues. Towards that end, this book has chapters that capture overarching issues about data protection and privacy; conceptualizes data protection from different perspectives and its existing debates with other rights and developments in a democratic society; provides a snapshot of developments happening in various jurisdictions and how data protection framework engages with other laws. It also broaches the critical issue of consent and how consent as a requirement has evolved and integrated with health research and other allied areas. The subsequent volume, titled 'Operationalizing Expectations and Mapping Challenges of Information Privacy and Data Protection Measures in the Last Three Decades', would focus on different sectors and how these sectors have been tackling different expectations concerning data protection and privacy. It will also showcase how technology plays a catalyst in implementing data protection requirements. The book highlights the future research areas in the context of data protection and privacy. The volumes are an invaluable resource for not only researchers, but also policy makers, practitioners, corporate sector, across disciplines, and anyone looking to get an idea about the evolution privacy, data protection issues and the application of consent over the last three decades since 1990.

A Machine-Generated Literature Overview

Expectations vs Realities of Information Privacy and Data Protection Measures

KI-Compliance im Unternehmen: Schlüssel zur Haftungsvermeidung und Wettbewerbsfaktor

Künstliche Intelligenz ist längst Teil unternehmerischer Praxis - und bringt komplexe rechtliche Herausforderungen mit sich. Welche Vorschriften gelten? Wo lauern Haftungs- und Reputationsrisiken? Wie lässt sich der KI-Einsatz rechtssicher gestalten? Gefragt ist Anwendungswissen - fundiert, praxisnah und mit Blick auf alle relevanten Rechtsgebiete.

Der neue Praxisleitfaden
<li>erläutert die Anforderungen der KI-VO und weiterer zentraler Vorschriften
</li><li>zeigt die rechtlichen Implikationen im Urheber-, Patent-, Marken-, Design-, Datenschutz-, Geschäftsgeheimnis-, Wettbewerbs- und Arbeits- sowie Haftungsrecht
</li><li>behandelt aktuelle Themen wie Hochrisiko-KI-Systeme, verbotene Praktiken, Transparenzpflichten, Deepfakes, Profiling, KI-Verträge, KI-Governance und KI-Werbung
</li><li>liefert praxisorientierte Hilfsmittel: Checklisten, Schaubilder, Mustertexte und Organigramme.

Die klare Struktur folgt den drei Phasen des KI-Einsatzes:
1. Erwerb und Entwicklung
2. KI-Training, Fütterung mit Daten
3. Nutzung und Output

So finden Nutzer:innen gezielt Antworten auf Fragen wie:
- Welche rechtlichen Vorgaben gelten in welcher Phase?
- Wie lassen sich Risiken frühzeitig erkennen und absichern?
- Welche vertraglichen Regelungen sichern den KI-Einsatz ab?
- Wie greifen nationale, europäische und internationale Vorschriften ineinander?
- Wie führe ich KI im Unternehmen ein und nutze sie?

Das Praxishandbuch
ist das ideale Arbeitsmittel für alle, die KI rechtssicher einsetzen wollen - von der Planung bis zum laufenden Betrieb.

Expertenwissen garantiert
RA Dr. Philipp Mels, FAGewRS, ist ausgewiesener Experte für KI-Compliance, IT- und IP-Recht sowie erfahrener Prozessanwalt. Er hält regelmäßig Vorträge zu KI-Compliance und schult in Unternehmen KI-Kompetenz. Seine Kombination aus juristischer Präzision und praktischer Erfahrung macht das Werk zu einem unverzichtbaren Begleiter.

Top aktuell
Das Werk berücksichtigt bereits die Neurungen durch den digitalen Omnibus zu Künstlicher Intelligenz (KI) der EU.
</li>

KI-VO | Gewerblicher Rechtsschutz | Urheberrecht | Datenrecht | Haftung

KI-Compliance im Unternehmen

"By combining statistical analysis, natural language processing, artificial intelligence, and business judgement, Peter demonstrates how sentiment and reputation can be measured, valued, predicted, and ultimately managed with greater confidence and accuracy." - Alberto López Valenzuela, Former Founder &amp; CEO of alva, author of The Connecting Leader (Lioncrest, 2018)"Particularly noteworthy is its integration of established statistical methods with the latest advances in large language models, providing a timely perspective on the future of reputation analytics." - Carolyn Phelan, Associate Professor, UCL"Now the world is ready for this, and I recommend you read this important text."- Richard G. Fleming, MBA MBCS CITP - veteran CTO, InnovateUK UKRI - IT DirectorCan reputation be measured directly? Yes! The novel idea in this book is that "reputation" is a time series of numerical "sentiment" values. Each one summarises, on a daily basis, what people think about a target organisation, brand or product. The ideas here present reputation as a tangible asset that can be measured, quantified, and used to manage risk and steer company policy. They are not just a collection of mathematical and statistical techniques: they represent a thought-provoking mindset change in business intelligence, and a paradigm shift in how reputation is calculated. Asking only a handful of people what they think about the target on one day only is replaced by asking hundreds or thousands of people, every day.The statistical and mathematical properties of sentiment and reputation are explored in depth using the R statistical language at an undergraduate level. The progression from texts sourced from the internet to reputation is encapsulated in the STAR - Statistics, Text, Analytics, Reputation - pipeline. STAR works, for each target, by extensive text mining, calculating a numerical score for each, and combining them into daily numerical sentiments. Sequential sentiment values - the target's profile - is the world's view of the target, and reflects its reputation. Large Language Models are used for both measurement and, with some words of caution, reputation risk management.Readers will be able to:<ul> <li>use and adapt the R code in each chapter;</li> <li>learn how to use traditional and Large Language Models for sentiment analysis and corporate decision making;</li> <li>monitor and forecast reputation;</li> <li>apply reputation risk controls.</li> </ul>

With R Support

Sentiment and Reputation: A Statistical Approach

Advanced Studies in Diginomics and Digitalization

Artificial Intelligence, Data, and Platforms

Regulatory Competition in the Digital Economy

Springer Series in Fashion Business

Use of Digital and Advanced Technologies in the Fashion Supply Chain

Dieses Buch bietet eine interdisziplinäre und praxisnahe Auseinandersetzung mit dem Thema KI-Kompetenz im österreichischen Kontext. Die Autorinnen des Bandes untersuchen, welche individuellen, organisationalen, rechtlichen und gesellschaftlichen Kompetenzen und Rahmenbedingungen erforderlich sind, um den Umgang mit Künstlicher Intelligenz verantwortungsvoll zu gestalten. Im Mittelpunkt steht die Frage, wie KI-Kompetenz über Bildung, Governance und institutionelle Strukturen hinweg gefördert, vermittelt und nachhaltig verankert werden kann.
Das Herausgeberwerk spannt den Bogen von der nationalen KI-Strategie und dem europäischen Rechtsrahmen (EU AI Act) über Kompetenzmodelle und AI-Literacy-Ansätze bis hin zur Umsetzung in Unternehmen, der öffentlichen Verwaltung, Hochschulen und weiteren gesellschaftlichen Handlungsfeldern. Die Beiträge verbinden wissenschaftliche Erkenntnisse mit Praxisperspektiven und beleuchten Fragen der Governance, Qualifizierung, organisationalen Transformation und gesellschaftlichen Teilhabe. Zugleich rückt das Buch die demokratischen, ethischen und gesellschaftlichen Dimensionen von KI-Kompetenz in den Fokus. Medien- und Demokratiekompetenz, Civic AI Literacy sowie Gender- und Diversitätsperspektiven werden dabei als zentrale Dimensionen einer verantwortungsvollen KI-Kompetenz verstanden.
Das Buch richtet sich an Entscheidungsträger:innen in Politik, Verwaltung und Organisationen, an Fachleute aus Bildung, Forschung und Personalentwicklung sowie an zivilgesellschaftliche Akteure. Es bietet theoretische Orientierung, empirische Einblicke und konkrete Gestaltungsperspektiven für alle, die den verantwortungsvollen Einsatz von KI in Österreich aktiv mitgestalten möchten.

Interdisziplinäre Perspektiven auf Bildung, Organisationen und Gesellschaft

KI-Kompetenz in Österreich

TechTide

The Future of Global Governance?

Digital Currencies and Blockchain Technology in International Politics

Although the German Civil Code (BGB) has contained injunctive relief for the protection of property rights in § 1004 since its inception, numerous dogmatic problems still surround this provision. Patrick Zurth examines injunctive relief from a legal-historical, legal-economic, and legal-dogmatic perspective, developing a new understanding of the "disturber." This characteristic forms the central element of § 1004 German Civil Code and also appears outside this norm in civil law, particularly in the case of so-called disturber liability in intellectual property and personality rights. The aim of this work is to deduce a uniform concept of disturbance across various sub-areas of private law. In particular, the proximity of injunctive relief to tort law is highlighted and the concept of disturbance in private law is further developed by including duties of conduct.

Der Störer im Privatrecht

Leistungskontrolle im Homeoffice

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