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Gesamtkatalog

Catalogue complet

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Computer Science (R0)

Siar Sarferaz

Embedding Artificial Intelligence into ERP Software

A Conceptual View on Business AI with Examples from SAP S/4HANA

&lt;p&gt;1. Methodology.- Part I: ERP Fundamentals.- 2. Intelligent ERP.- 3. ERP Reference Processes.- 4. ERP Reference Architecture.- 5. ERP Reference Artificial Intelligence Technology.- Part II: Concepts for Embedding Artificial Intelligence.- 6. 6 Solution Architecture.- 7. Lifecycle Management.- 8. Data Integration.- 9. Data Protection and Data Privacy.- 10. Configuration.- 11. Extensibility.- 12. Model Degradation.- 13. Explanation of Results.- 14. Workload Management and Performance.- 15. Legal Auditing.- 16. Model Validation.- 17. User Interface Design.- 18. Embedding Generative AI.- Part III: Implementation Framework and Case Studies.- 19. Implementation Framework.- 20. Sales and Research.- 21. Sourcing and Procurement.- 22. Inventory and Supply Chain.- 23. Finance.- 24. Epilogue – Ethical Considerations.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;

Fuzzy Management Methods

As organizations strive to balance innovation with accountability, this second volume in a trilogy on fuzzy systems and digital ethics examines how ethical and sustainable practices can be operationalized at the institutional level. Through the lens of design science and fuzzy logic, it demonstrates how organizations can build resilient, data-driven infrastructures that support responsible decision-making. Theoretical models and empirical insights highlight the role of fuzzy logic in enhancing the adaptability and integrity of enterprise systems.
Volume II extends the ethical framework of the honorable merchant to the organizational level. It examines how institutions can uphold ethical standards in competitive environments, with case studies from business informatics, computer science, and engineering. Topics include performance management, customer classification, employee satisfaction, marketing analytics, and service level optimization. The volume concludes with a responsible actions framework, reinforcing the integration of ethics into complex organizational processes.
This textbook trilogy is primarily intended for students of computer science, business information systems, and innovation management who aspire to make a meaningful impact. It will also appeal to managers who value balanced perspectives and data-driven analysis.

An Introduction with Cases from Business Informatics, Computer Science and Engineering

Fuzzy Sets and Systems II

Dieses Buch ist das erste seiner Art, das die Schlüsselelemente einer Unternehmensdaten- und Analyse-Strategie beschreibt und einen pragmatischen Ansatz zur Definition der Strategie für große Unternehmen vorschreibt. Es basiert auf den erfolgreichen Erfahrungen mit der digitalen Transformation zahlreicher Fortune-500-Unternehmen und anderer großer Unternehmen. Schätzungen zufolge scheitern weltweit mehr als 50 % der Daten- und Analyseinitiativen aufgrund der inhärenten Komplexität solcher Vorhaben.
Einige der Fragen, mit denen Unternehmen kämpfen, sind: Wie definiert man eine Unternehmensdaten- und Analyse-Strategie? Welche Schlüsselelemente sollten dabei berücksichtigt werden? Warum funktioniert ein One-Size-Fits-All-Ansatz nicht für alle Unternehmen? Wie richtet man Daten- und Analyseinitiativen an der Geschäftsstrategie des CEO aus? Wie schafft man eine zukunftsfähige technologische und architektonische Grundlage angesichts der exponentiellen Innovationsrate in Daten- und Analysetechnologien? Wie definiert man das richtige Organisationsmodell für Daten und Analysen? Warum müssen Organisation und Prozesse für Daten und Analysen sich von anderen Funktionen unterscheiden? Wie steuert man den organisatorischen Wandel, um den Erfolg von Daten- und Analyseinitiativen sicherzustellen? Wie definiert man einen Rahmen zur Messung des Geschäftswerts und berechnet den ROI von Daten- und Analyseinitiativen? Welche Schlüsselkompetenzen benötigt ein Daten- und Analyseleiter, um sich durch politische und andere Herausforderungen großer Unternehmen zu navigieren?
Dieses Buch wird Führungskräften, Chief Digital/Analytics Officers, Daten- und Analyseexperten sowie Beratern dabei helfen, diese Fragen zu beantworten. Es unterstützt sie dabei, die verschiedenen Dilemmata, mit denen sie täglich konfrontiert sind, zu bewältigen und ihre Unternehmen datengetrieben zu machen.

Praxisleitfaden auf Basis erfolgreicher digitaler Transformationsinitiativen führender globaler Unternehmen

Unternehmensweite Daten- und Analytics-Strategien entwickeln

Future of Business and Finance

The rise of the Internet, social media, mobile technology, IoT, artificial intelligence (AI), and Web3 has fundamentally transformed how brands engage with consumers—enabling smarter marketing capabilities, personalized user interactions, and exponential growth in revenue, influence, and data value. This book introduces the concept of Brand Digital Intelligence, a two-step framework that helps brands thrive in the digital age through digital transformation and intelligent marketing. Structured around a digital transformation roadmap, the book explores how organizations can build robust digital infrastructure, foster active user participation, and turn consumers into long-term value contributors. 
Key topics include marketing innovation, platform business models, consumer journey design, online communities, smart stores, mobile applications, AI-powered marketing, and decentralized brand strategies enabled by Web3. The book calls for a paradigm shift from traditional campaign-based marketing to intelligent, data-driven ecosystems, where private domains, users, and data become core strategic assets—powered by algorithmic decision-making and compounding flywheel effects that drive sustained growth and engagement. Extending this evolution, the book illustrates how AI-driven brand ecosystems in the Web2 era naturally progress toward autonomous, community-driven organizations in the Web3 world, enabled by tokenized incentives, digital ownership, and co-created value. 
Combining strategic frameworks, real-world case studies, and actionable insights, this book is an essential guide for marketing professionals, technology leaders, entrepreneurs, and investors seeking to master the next frontier of AI and Web3-powered brand transformation.

Navigating the Transformation in the AI and Web3 Era

Brand Intelligence

Boost your AI quotient for AI-ready leadership.Most leaders know that AI can deliver efficiency gains, making it a company priority in a challenging business environment. But the pace of change is outstripping their ability to adapt. More than 75% of leaders report that AI is creating challenges they have never faced before and these new challenges, anxieties and uncertainty about the future are creating a 'readiness gap'.AI-Q, your AI Quotient, is both a new metric for assessing readiness and a framework for building it. Use the AI-Q MAP (Mindset, Abilities and Practices) to: <ul> <li> assess where you are today </li> <li> identify the critical gaps, and </li> <li> build the leadership and organizational capabilities you need to ensure your AI investments deliver returns. </li> </ul>Futurist and economist Athena Peppes draws on research from leading institutions and expert interviews to offer a new approach to AI-readiness, the new critical leadership capability in the human+AI era.

The new leadership imperative for the Human+AI era

AI-Q

Transforming Global Healthcare: The Role of AI and IoT in Modern Medical Systems explores the transformative potential of the integration of technologies such as AI, Big Data, IoT, and Blockchain in the healthcare sector. This comprehensive volume aims to illustrate how these advanced technologies can address sustainability challenges, improve decision-making processes, and enhance overall healthcare delivery. By mapping existing knowledge and forecasting future trends, the book provides a detailed roadmap for sustainable healthcare development.Key features include: - Explores AI, big data, IoT, and blockchain in healthcare in-depth. - Provides actionable strategies for energy management, waste disposal, and green supply chains - Provides in-depth coverage of real-time health monitoring, predictive analytics, robotic surgery, and AI medical imaging. - Provides insights into preventing drug counterfeiting, managing pharmaceutical cold chains, and optimizing supply chains. - Comprises a comparative analysis of global healthcare systems, telemedicine evolution, and future digital health trends.

The Role of AI and IoT in Modern Medical Systems

Transforming Global Healthcare

Cut through the hype. Master the basics. Transform your work

How to AI

edition suhrkamp

Was kommt danach?

Liberale Demokratie ohne Zukunft

The job security you thought you had? AI didn't take it. Someone who learned to use AI did.
The headlines scream about AI replacing workers, but they're missing the real story. Artificial intelligence isn't your competition the person in the next cubicle who figured out how to 10x their output with AI tools is.
Adapt or Automate cuts through the fear-mongering and hype to reveal what's actually happening in workplaces worldwide. Drawing on real-world case studies from Nairobi to New York, this book shows how AI is creating a new divide: not between humans and machines, but between those who leverage AI and those who resist it.
Inside, you'll discover:Why AI won't replace you but will replace how you work - and what that means for your career in the next 12-24 months
The "augmentation advantage" - how professionals across industries are using AI to become irreplaceable rather than redundant
The three types of work AI handles best - and the uniquely human skills that are becoming more valuable, not less
Real strategies from real people who've transformed their careers by treating AI as a power tool, not a threat
The economic reality no one's discussing - why companies aren't choosing between humans OR AI, but humans WITH AI versus humans without
A practical 90-day action plan to position yourself on the winning side of the AI revolution


This isn't a technical manual or a dystopian warning. It's a pragmatic guide for anyone who wants to thrive in an AI-augmented workplace whether you're an employee, manager, freelancer, or business owner.
The choice isn't whether AI will transform your industry. It already is. The only question is: Will you adapt, or will you be automated?
Your career in the AI age starts here.

Why AI Won't Take Your Job But Someone Who Uses It Will

ADAPT OR AUTOMATE

In today's tech-infused workplace, human creativity is the key to public relations writing that will set you apart from the crowd. Effective PR writing goes beyond templates and traditional techniques to focus on purposeful messages that build trust, foster human relationships, and resonate across diverse audiences. Using AI as a coworker can speed execution and assist with editing, but you are still in charge of the uniquely human elements of empathy, storytelling, and judgment. From press releases to modern AI-powered skills, this hands-on guide gets you writing from day one, crafting clear, strategic, and persuasive content tailored for specific platforms. A pantry of "What" and "How" essentials includes: -How PR campaigns work -Giving and receiving writing feedback -AP style tips and helpful AI terms -Writing SMART Objectives &gt;Learn to find your creative voice by optimizing copy for different platforms, leveraging keywords, and growing your confidence, creativity, and adaptability. Whether you're writing press releases, pitches, and fact sheets or perfecting social media copy, long-form pieces, or speeches, your human-centered skills make you the problem-solver for any team. Become one of today's PR leaders by crafting meaningful messages that truly engage with audiences. This book shows you how!

The PR Writing Workshop

Building Resilience and Preventing Catastrophes

Integrating AI for Sustainable Disaster Management

A sharp history of journalism's digital unraveling in the age of algorithms. In the past three decades, the battle between big tech and big journalism has reshaped how we consume the news. Jason Whittaker delves into how tech giants outmaneuvered traditional media companies, siphoning off advertising revenue and audience attention. As journalism struggled to adapt, social media platforms evolved from utopian public spaces into breeding grounds for misinformation and fake news, eroding public trust. The influence of billionaires further complicated the digital ecosystem, swaying public opinion and exercising direct political power, of which previous media moguls could only dream. More recently, AI has begun to revolutionize content creation, distribution, and consumption. Overall, this thirty-year period has witnessed a tangled mix of progress, contention, and disinformation. Incorporating stories about The Washington Post, The New York Times, The Atlantic, The Los Angeles Times, Bloomberg, and many other media outlets from around the world, and discussing key figures and companies in big tech and AI like Facebook/Meta, Cambridge Analytica, Google, Microsoft, Twitter/X and Elon Musk, Edward Snowden, Jakob Uszkoreit, OpenAI, ChatGPT, DeepSeek, and more, Whittaker provides an incisive examination of the frequently combative relations of these two industries and the uncertain future of the news in the digital age.

Big Tech v. Big Journalism

You Want What We've Got

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

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon

Embedding Artificial Intelligence into ERP Software

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