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Gesamtkatalog

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Professional and Applied Computing (R0)

Jonathan Sosa

From Culture to Code

Leading Software Engineering Teams Effectively

&lt;p&gt;Chapter 1: Build Your Presence.- Chapter 2: Champion Your Team.- Chapter 3: Acquire Talent.- Chapter 4: Organize Your People.- Chapter 5: Set Goals.- Chapter 6: Set Expectations.- Chapter 7: Evaluate &amp;amp; Promote.- Chapter 8: Choose the Tech Stack.- Chapter 9: Adopt Best Practices.- Chapter 10: Build a strong software foundation.- Chapter 11: Manage technical debt.- Chapter 12: Closing words.&lt;/p&gt;

Analog–Digital Transformation Strategy

The book centers on the art of team coaching specifically for Scrum Masters or Agile practitioners leading teams. This topic remains largely unexamined by the literature as there is a lack of contemporary guidance about coaching Agile teams on acquiring qualities paramount for an adaptive organization - being self-organized and assuming ownership over their ways of working and its results. An Agile practitioner has to either study books on professional coaching that don't provide much information on working in the Agile context or try to implement Agile methodologies and frameworks with fragmented and limited guidance on dealing with teams and group dynamics.


By integrating coaching principles with the realities of an Agile environment, this book provides enough information and relevant case studies to equip a reader with the skills needed to organize coaching, confidently deal with emerging dynamics, and achieve the intended goals. It also connects Agile team coaching with the ICF (International Coaching Federation) Team Coaching competencies, professionalizing the practice.


In Agile ways of working, the team's strength significantly impacts the success of the products they work on. While Agile practitioners are adept at understanding methodologies, frameworks, tools, complementary practices and techniques, many lack coaching skills that address the human aspects of teamwork. This book fills that gap by empowering to effectively coach teams, leading to improved communication and cohesion, increased adaptability, and a culture of continuous improvement.


This book is practical, insightful, and it aims to support not only beginners but also seasoned professionals aspiring to elevate their practice.


What You Will Learn


Practical team coaching techniques for Agile contexts


Understanding and navigating complex dynamics


Systemic awareness and interventions


 


Who This Book is For


The primary audience for the book includes Scrum Masters and Agile practitioners aiming to improve their team's performance. These professionals typically hold roles such as Scrum Master, Agile Coach, or Team Lead.

Agile Team Coaching from a Journeyman to an Expert

The Art of Creating Self-Organizing Teams

Learn how to integrate model-based systems engineering (MBSE) with mission-driven requirements to create a connected framework that delivers reliable solutions designed with key objectives. This book uses real-world examples to demonstrate how clear requirements and smart modeling lead to systems that work better, cost less to fix, and meet their goals the first time.
 
Author, Air Force veteran, and Chief Systems Engineer Dennis Hansen draws on 60 years of experience managing full system lifecycles across military, government, and private sectors. This foundation drives a practical approach to understanding how design and operations drive engineering success. First, learn the end-user definition of the system function (i.e., the mission), before identifying capabilities needed to perform this function. The book then explains the transition from capabilities to activities and functional model views, and the associated requirement definitions. From there, you will learn how modeling can shift from architecture to SysML design views, continuing with both model and requirement definitions. Finally, you’ll discover how models can be used to aid generation and refinement of test plans and procedures as the system evolves, and how these models support ongoing system sustainment and improvement.
 
Throughout, you’ll encounter practical examples and diagrams to illustrate how to connect key concepts. This book fills a gap left by other books that treat requirements and models separately, showing how tying them to mission goals leads to better results. Practical guidance covers incorporating security early, using proven standards like NIST 800-53, and applying frameworks such as DoDAF or SysML. Additionally, each chapter includes a guide and Agile planning tips to help you apply these concepts step by step.
 
What You Will Learn: 

Define the mission to establish a clear system purpose.

Identify the capabilities needed to achieve the mission.

Develop architecture and requirements that deliver these capabilities through detailed activities

Apply Agile scheduling to organize development activities.




 
Who This Book is for:
Intermediate-level system engineers, software engineers and management, particularly in, but not limited to, government agencies.

Achieving a Uniform Management and Engineering System View

Model-Based Systems Engineering and Requirements Definition

Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This book brings together contemporary research that demonstrates AI's ability to enhance precision, efficiency, and adaptability in diverse forecasting environments. By covering cybersecurity analytics, anomaly detection, logistics forecasting, sustainable supply chain management, and predictive maintenance, it demonstrates AI's versatility in complex environments. The book also showcases AI applications in renewable energy forecasting, peak load prediction, smart meter analytics, and prosumer-driven demand modeling. Combining theory with practical case studies, it serves as a valuable resource for engineers, researchers, practitioners, and students.

Engineering Applications of AI for Demand Forecasting

Business and Management (R0)

David Vander

Rahat Munir

Stephen Brammer

Strategy and Processes in Digital Banking

Digital Economy Dynamics

Springer Nature Proceedings excluding Computer Science

Andres Iglesias

Jungpil Shin

Nityesh Bhatt

Amit Joshi

Proceedings of ISBM 2025, Volume 11

Information Systems for Intelligent Systems

Technische und betriebswirtschaftliche Aspekte

Solving Conflicts on the Way to Sustainable Mobility

Dieses Werk zeigt professionelle Wege auf, wie selbst mit kleinsten Projekten – in traditionellen oder digitalen Welten – viel erreicht werden kann und wie aus ersten Schritten im weiteren Verlauf eine erfolgreiche Gründung bzw. ein wirtschaftlich profitables Start-up hervorgehen kann. Das Buch stellt innovative Möglichkeiten des sozialen Engagements vor und zeigt, wie man Erfolg hat, indem man sich in kluger Weise einbringt. Das Buch bietet vielfältigen Rat, Erfolgsgeschichten und Porträts von Menschen, die durch ihre Initiativen wirklich etwas bewirken konnten.
 
 “Gründet Euch!” knüpft authentisch an den aktuellen Zeitgeist des “Sich-engagieren-Wollens” an und bietet fachkundige Unterstützung, um auf professionellem Wege etwas zu bewirken, durch Blogs, Apps, lokale Initiativen und/oder ein Start-up u.v.m.&nbsp;

Vom ersten Engagement zum erfolgreichen Social Business (AT)

Gründet Euch!

FOM-Edition

Dieses Buch bietet einen kompakten und praxisnahen Leitfaden für den datenschutzkonformen Einsatz von Künstlicher Intelligenz in Cloud-Umgebungen. Es richtet sich an Führungskräfte, IT- und Datenschutzbeauftragte sowie Praktiker, die KI-Lösungen rechtssicher in ihre Unternehmensprozesse integrieren möchten. Im Zentrum stehen die rechtlichen Grundlagen wie die DSGVO, die europäische KI-Verordnung (AI Act) und nationale Vorgaben, ergänzt durch konkrete Handlungsempfehlungen für technische und organisatorische Schutzmaßnahmen. Zahlreiche Praxisbeispiele aus unterschiedlichen Branchen verdeutlichen, wie Unternehmen cloudbasierte KI erfolgreich nutzen können, ohne gegen Datenschutzrecht zu verstoßen.&nbsp;Der Inhalt<ul><li>Nutzen und Einsatzszenarien von cloudbasierter KI</li><li>Gesetzliche Pflichten auf einen Blick</li><li>Technische Schutzmaßnahmen</li><li>Organisatorische und vertragliche Maßnahmen</li><li>Praxisbeispiele</li><li>Zehn Gebote für datenschutzkonforme cloudbasierte KI</li></ul>Die Autoren Prof. Dr. Markus H. Dahm
 ist Organisationsentwicklungsexperte und Berater für Strategiefragen, Digital Change &amp; Transformation und lehrt und forscht an der FOM Hochschule in den Themenfeldern Strategisches Management, Künstliche Intelligenz und Digital Management.
 Max Seiter
 ist Senior CRM Systems Manager bei der Digital Beat GmbH, verantwortet die operative Umsetzung und Weiterentwicklung technischer Systeme rund um Automatisierung, Zahlungsabwicklung, Analytics und Support und bringt seine Praxiserfahrung als Referent in Lehrgängen wie KI Manager und KI Marketing Professional ein.

DSGVO-konforme Nutzung von KI-Technologien in Cloud-Umgebungen

Künstliche Intelligenz in der Cloud

Today, organizations face significant pressure to rapidly innovate and respond to changing market demands, but many struggle to align engineering practices with overarching business goals. Agile and DevOps methodologies, often seen purely as technical solutions, can fail without proper alignment with executive-level expectations and objectives. Using a clear, actionable framework to effectively drive organizational change, this book addresses this critical gap by providing leaders with the tools and knowledge required to directly connect technical outputs to corporate strategy, ensuring development efforts consistently result in tangible business value.
Drawing on firsthand experiences in global enterprises, author Leo Bardelli demystifies Agile and DevOps methodologies, demonstrating how—when strategically implemented—they streamline processes, accelerate innovation, and deliver measurable impact that resonates with executives and board members alike. Structured around the most pressing pain points faced by senior managers and technical leaders, you’ll find essential topics such as maturity assessments, stakeholder engagement, strategic communication with executives, legacy system modernization, and effective risk management. Bardelli offers practical tools and actionable insights, including real-world templates, detailed case studies, maturity matrices, and KPIs tailored for clear communication with Board-level and executive stakeholders.
Unlike other technical guides that focus narrowly on engineering processes, Bridging the Gap uniquely blends technology and strategic business management, making, making these methodologies indispensable tools for sustained organizational growth and profitability.
What You Will Learn
<ul>
<li>Create and run a maturity assessment for Agile and DevOps based on the stream value

</li><li>Merge the product needs at an engineering level

</li><li>Build and collect metrics and turn this data into storytelling.

</li><li>Articulate the value of Agile and DevOps in terms that executives and board members understand and appreciate




Who This Book Is For

Engineering Managers, Technical Leads, Product Owners, Heads of DevOps, Head of Engineering and product people responsible for multiple teams or projects who want to increase their strategic impact. It will also prove very helpful for the engineer who is in a position to step into management-level positions such as Team Lead or Manager, and who needs to understand more clearly how the technical decisions relate to the objectives of the greater business.
</li></ul>

Turning Agile and DevOps Initiatives into Board-Level Wins

Bridging the Gap

Classroom Companion: Business

Change Management, Digital Transformation and ESG

Modern Facility and Workplace Management

Is your HR function ready to lead with AI or is it at risk of being left behind?

AI Strategy for HR by Natalie Shiels is a practical guide for CHROs, HR directors and senior talent leaders who need to integrate AI into the people function to drive organizational performance and workforce resilience.

Written by an expert with experience in both HR and AI, this book shows how to transform HR from a passive observer into a proactive, data-driven strategic partner. It explains the urgency, opportunities and risks of AI adoption and provides a clear roadmap for building, implementing and scaling an AI strategy that aligns with business goals.

You'll learn how to:
- Build and execute a robust AI strategy for HR
- Select and integrate the right AI tools across the employee lifecycle
- Navigate ethical, legal and governance issues in AI adoption
- Use people analytics for workforce planning and succession
- Lead cultural change and prepare HR teams for AI-enabled transformation

Covering every stage of the employee journey, from recruitment and onboarding to L&amp;D, retention and reward, AI Strategy for HR equips senior leaders to future-proof the HR function, strengthen decision-making and deliver measurable business value.

Themes include: AI in HR, people analytics, workforce planning, digital transformation, HR strategy, ethical AI

Design and Implement an Effective Strategy for Business Success

AI Strategy for HR

From Culture to Code

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