Successful Project Management With AI: Boost Productivity in Traditional and Agile Projects

By Peter F. Schindler

Immerse yourself in a universe where artificial intelligence (AI) and project management are complementary. This book provides an in-depth analysis of the transformative changes that AI is bringing to project management. Real-world examples, in-depth analyses, and field-tested solutions enable you to maximize AI in both traditional and agile project management.
 

• Language: English
• Publisher: Peter F. Schindler
• Release date: Jul 22, 2023
• ISBN: 9798223797166

Book preview

Successful Project Management With AI:

Boost Productivity in Traditional and Agile Projects

Peter F. Schindler

Foreword

Introduction

Introduction to Artificial Intelligence

Definition of AI

Brief history of the KI

Potential future of artificial intelligence

Introduction to project management

Definition of project management

Essential aspects in project management

Challenges in project management

The role of artificial intelligence in project management

Overview of the book

AI Technologies

Machine Learning and Deep Learning

Machine Learning: Definition and Understanding

Definition and understanding of Deep Learning

Application examples and case studies for machine learning and deep learning

Natural Language Processing (NLP)

Definition and understanding of Natural Language Processing (NLP)

Application examples and case studies for Natural Language Processing (NLP)

Application of AI technologies in project management

Robotic Process Automation (RPA)

Definition and understanding of Robotic Process Automation (RPA)

Application of RPA in project management

Examples and case studies on the application of RPA

Predictive Analytics

Definition and understanding of predictive analytics

Application of predictive analytics in project management

Examples and case studies on the application of predictive analytics

Challenges and solutions in the use of AI in project management

Identification of the challenges

Discussion of general challenges

Specific challenges associated with the technologies discussed.

Solution approaches

General strategies for overcoming challenges

Technology-specific solutions

Practical guidance on implementing AI in project management.

Preparation for implementation

Resources and skills needed

Building an AI strategy

Implementation realization

Step-by-step guide to implementing AI in project management

Case studies and examples for the implementation of AI in project management

Performance measurement and adjustment

Determine KPIs to measure success and adjust AI implementation in project management.

Adaptation and optimization: The continuous improvement of AI in project management

Summary of the main points

Reflection and consolidation of findings

Outlook for future developments: New horizons in AI and project management

Final thoughts and recommendations: The next phase in the evolution of project management

Appendix: The use of AI in projects with Scrum and Kanban

Introduction

Background and meaning of Agile, Scrum and Kanban

General overview of AI and its importance in the modern world.

Brief introduction to the subject matter of the appendix

The role of AI in agile methods

Importance and potentials of AI in agile development

AI-driven agile project management tools and their benefits

Impact of AI on Scrum and Kanban

AI and Scrum

Use cases of AI in Scrum projects

AI tools for Scrum and their application

Case study: Successful integration of AI in Scrum

AI and Kanban

Use cases of AI in Kanban projects

AI tools for Kanban and their application

Case Study: Successful Integration of AI into Kanban

Common Challenges in Integrating AI with Scrum and Kanban

Potential solutions and best practices

Foreword

When you hold this book in your hands, you have already taken the first step into a new era of project management - an era in which artificial intelligence (AI) plays an increasingly important role.

In this book we would like to offer you a detailed and practice-oriented insight into this exciting development. This book is aimed at business-level decision makers who have recognized the relevance of AI and are striving to integrate it profitably into their project work.

Artificial intelligence has fundamentally changed the way we work and the way we think. It is more than just a technological advance - it is a paradigm shift that has the potential to influence all areas of our society. In project management, AI opens up completely new possibilities for managing projects more efficiently, successfully and in a more targeted manner.

This book deals not only with the opportunities and potential that AI offers, but also with the challenges that its implementation brings. Our goal is to provide you with both theoretical knowledge and proven solutions and strategies that will help you successfully navigate the path of AI integration.

Successful Project Management through AI: Increasing Efficiency in Classic and Agile Projects goes beyond the mere application of AI tools. It encourages you to see AI as a strategic partner and to take full advantage of its capabilities to optimize both classic and agile project management methods.

Whether you already have experience working with AI or are just beginning to explore this exciting topic, this book provides a comprehensive guide and companion on your journey through AI-driven project management.

I hope that Successful Project Management through AI: Increasing Efficiency in Classic and Agile Projects inspires you to explore the possibilities of AI and integrate it into your daily work. I am convinced that AI has the potential to revolutionize our understanding of project management - and you now have the chance to be part of this revolution.

Good luck on your way into the future of project management!

Peter F. Schindler

Introduction

Introduction to Artificial Intelligence

Definition of AI

Artificial intelligence, or AI for short, is a term that has come increasingly into focus in recent years. But what exactly does it actually mean? Trying to provide a clear and concise definition can be challenging, as AI is a broad and constantly evolving field. Nevertheless, there are some general points of consensus that help define AI.

In general, artificial intelligence can be defined as the field of computer science that focuses on making machines and software exhibit intelligent behaviors. AI is often described as a system or machine that can simulate human-like abilities such as learning, understanding, problem solving, perceiving, and even emotions.

The American Association for Artificial Intelligence (AAAI) defines AI as the scientific understanding of the mechanisms that produce intelligent behavior and their embedding in machines. Here, the concept of intelligence plays a central role. Intelligence, in a human context, refers to the ability to learn from experience, be adaptive to new situations, understand and solve problems, and respond appropriately to the environment.

Another common definition, often cited in scientific circles, comes from computer