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Gesamtkatalog

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Business and Management (R0)

Nils Urbach

Daniel Feulner

Managing Artificial Intelligence

How Organizations Succeed with AI

&lt;p class="MsoNormal" style="margin-bottom: .0001pt; line-height: normal;"&gt;&lt;span style="mso-ascii-font-family: Calibri; mso-fareast-font-family: 'Times New Roman'; mso-hansi-font-family: Calibri; mso-bidi-font-family: Calibri; color: black; mso-fareast-language: EN-IN;"&gt;Introduction to Managing Artificial Intelligence.- &lt;/span&gt;Technological Foundations of AI.- Foundations of Neural Networks.- Introduction to Generative AI.- Evaluating and Optimizing AI Models.- Application Potentials of AI Technologies.- Identifying, Designing and Evaluating AI Use Cases.- AI Strategizing and Readiness.- Governance and Management of AI.- Techno-Economic Decisions of AI.- Designing Human-AI Interactions.- AI Monitoring and Change Management.- Ethical, Legal and Social Implications of AI.&lt;/p&gt;

New Information Communication Technologies in the Digital Era

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

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

Gen AI is changing the way you work. So why is your team stuck in neutral?The adoption of generative AI is now widespread, yet it is still typically used on an individual basis: one person, one screen, one task. Meanwhile, the most important work in organizations happens in teams. The transformative potential of enhancing teamwork with gen AI is too big to ignore; fortunately, you can make AI-enabled collaboration real right now and see immediate results.The HBR Guide to Generative AI for Teams is packed with practical tips, prompts, and case studies to elevate team-based work. Whether you're a team leader, manage AI transformation initiatives, or facilitate group work of any kind, you'll learn how to: <ul><li>Bring gen AI into any meeting, workshop, or session</li><li>Run better brainstorms, business reviews, and retrospectives</li><li>Leverage gen AI as a team member, not just a notetaker</li><li>Use your team's collective judgment to avoid pitfalls</li><li>Reach team outcomes that were impossible before gen AI</li><li>Establish a new "humans+AI" way of working in teams</li></ul>Arm yourself with the advice you need to succeed on the job, with the most trusted brand in business. Packed with how-to essentials from leading experts, the HBR Guides provide smart answers to your most pressing work challenges.

HBR Guide to Generative AI for Teams

Synthetic Media, Deepfakes, and Cyber Deception: Attacks, Analysis, and Defenses introduces the only analytical Synthetic Media Analysis Framework (SMAF) to help describe cyber threats and help security professionals anticipate and analyze attacks. This framework encompasses seven dimensions: Credibility, Control, Medium, Interactivity, Familiarity, Intended Target, and Evocation. Synthetic media is a broad term that encompasses the artificial manipulation, modification, and production of information, covering a spectrum from audio-video deepfakes to text-based chatbots. Synthetic media provides cyber attackers and scammers with a game-changing advantage over traditional ROSE attacks because they have the potential to convincingly impersonate close associates through text, imagery, voice, and video. This burgeoning threat has yet to be meaningfully addressed through any written treatment on the topic. The book is co-authored by three cyber influence and deception experts who have gained deep knowledge and experience on the topic through diverse, true operational pathways and backgrounds. The diversity and perspectives of the author team makes the content in the book the broadest and deepest treatment of synthetic media attacks available to readers.

Attacks, Analysis, and Defenses

Synthetic Media, Deepfakes, and Cyber Deception

What if aliens gave us just 365 days to create a just world?

The Alien Ultimatum

An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspoken CEO, Alex Karp, tracing the ascent of Big Data, the rise of surveillance technology, and the shifting global balance of power in the 21st century. Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends, and connections that might elude the human eye. Founded in 2003 to help the US government in the war on terrorism—an early investor was the CIA—Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the US military, dozens of federal agencies, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to the future of warfare, the company is at the nexus of the most critical issues of the twenty-first century. Its CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he’s a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir’s work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp’s close friend and Palantir cofounder Peter Thiel. In The Philosopher in the Valley, journalist Michael Steinberger explores the world of Alex Karp, Palantir, and the future that they are leading us toward. It is an urgent and illuminating work about one of Silicon Valley’s most secretive and powerful companies, whose technology is at the leading edge of the surveillance state.

Alex Karp, Palantir, and the Rise of the Surveillance State

The Philosopher in the Valley

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

Real-World Solutions for Reshaping Healthcare Through Artificial Intelligence and Beyond

Strategies for Artificial Intelligence in Healthcare

Legal Regulation of AI and Sex Discrimination in Employment

Your AI isn't broken. Your playbook is.

AI project failures don't come from bad models. They come from old habits. Lock AI down like software and you kill its value. Let it roam and it drifts. Mistakes ship and scale. WISER is the field manual for teams operationalizing AI.

Written by Robb Wilson and Anthony Franco, practitioners with twenty years of shared experience building systems for over half the Fortune 100, The WISER Method delivers a systematic approach to AI implementation built on AI First Principles, an open-source framework of twelve constraints governing how AI systems succeed and fail.

Inside: a full-length narrative case study following one company from discovery through deployment. Twenty-six Plays with objectives, inputs, steps, success criteria, adaptations, and pitfalls. Over twenty downloadable templates. Advanced frameworks for risk, autonomy, measurement, and knowing when to rebuild.

For leaders: roughly 80 pages of strategic foundation to sponsor well and recognize when things go wrong. For practitioners: the entire book is your workbook.

Five canons. One method. Built by people who ship.

Build What Matters with AI First Principles

WISER Method Master Playbook

The accelerating global demand for sustainable solutions has catalyzed the integration of emerging technologies with sustainability-driven innovations. This book explores the intersection of technology, engineering, and environmental responsibility through six critical themes: Artificial Intelligence and Machine Learning for Sustainability, Cloud Computing Technologies, Sustainable Energy Technologies, Sustainable Materials and the Built Environment, Sustainable Actions, and Innovative Engineering and Technology.Artificial intelligence and machine learning play a pivotal role in optimizing resource management and enabling low-carbon decision-making, while cloud computing technologies provide scalable platforms for collaboration and innovation. Sustainable energy technologies such as solar, wind, and bioenergy are examined as vital pathways toward clean power generation. The discussion extends to sustainable materials and the built environment, emphasizing eco-friendly design and circular economy principles. The book also highlights sustainable actions driven by policy, behavioral change, and community engagement. Together, these domains represent a multidisciplinary pathway toward achieving global sustainability goals, fostering a balance between technological advancement and ecological preservation.This book is a key resource for leaders, academia, policymakers, professionals, and researchers to advance sustainable development through science, technology, and engineering. It provides valuable insights for integrating AI, renewable energy, and sustainable engineering into practical applications for a greener future.

Emerging Frontiers in Sustainable Energy, Smart Systems, and Green Technology

Managing Artificial Intelligence

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