Applying Artificial Intelligence in Project Management (eBook)
239 Seiten
Packt Publishing (Verlag)
978-1-83702-328-8 (ISBN)
Artificial intelligence is reshaping the way projects are managed, offering unprecedented opportunities to improve efficiency, accuracy, and outcomes. This course begins with an introduction to AI's role in project management, exploring how machine learning, natural language processing, and predictive algorithms can transform traditional approaches. You'll learn about the key components of AI-driven projects and how to develop a strong business case for adopting these innovations.
As you progress, the course delves into practical applications of AI in automating project tasks, analyzing data, and predicting results. Participants will gain hands-on experience with tools that leverage machine learning to forecast project success, improve productivity, and resolve potential failures. Additionally, you'll discover how generative AI and large language models can enhance communication, planning, and decision-making throughout the project lifecycle.
Finally, the course examines the broader implications of integrating AI into project management. You'll explore strategies for acquiring AI solutions, implementing them within teams, and navigating the ethical challenges they present. By the end of the course, participants will have a clear understanding of how to leverage AI to optimize projects and stay competitive in a rapidly evolving technological landscape.
Explore how AI transforms project management with tools, techniques, case studies, and ethical insights for better outcomes.Key FeaturesComprehensive insights into AI tools and techniquesReal-world case studies for practical understandingEthical guidelines for responsible AI implementationBook DescriptionArtificial intelligence is reshaping the way projects are managed, offering unprecedented opportunities to improve efficiency, accuracy, and outcomes. This course begins with an introduction to AI's role in project management, exploring how machine learning, natural language processing, and predictive algorithms can transform traditional approaches. You'll learn about the key components of AI-driven projects and how to develop a strong business case for adopting these innovations. As you progress, the course delves into practical applications of AI in automating project tasks, analyzing data, and predicting results. Participants will gain hands-on experience with tools that leverage machine learning to forecast project success, improve productivity, and resolve potential failures. Additionally, you ll discover how generative AI and large language models can enhance communication, planning, and decision-making throughout the project lifecycle. Finally, the course examines the broader implications of integrating AI into project management. You ll explore strategies for acquiring AI solutions, implementing them within teams, and navigating the ethical challenges they present. By the end of the course, participants will have a clear understanding of how to leverage AI to optimize projects and stay competitive in a rapidly evolving technological landscape.What you will learnUnderstand AI's role in project managementIdentify AI tools for task automationIntegrate AI models into workflowsAnalyze case studies on AI applicationsNavigate the ethical challenges of AI useImplement data-driven decision-makingWho this book is forThis book is ideal for project managers, team leaders, and business analysts seeking to integrate AI into their workflows. A basic understanding of project management principles is recommended. No prior experience with AI technologies is required, making it suitable for a wide range of readers.]]>
| Erscheint lt. Verlag | 23.1.2025 |
|---|---|
| Sprache | englisch |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Wirtschaft ► Betriebswirtschaft / Management ► Projektmanagement | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| ISBN-10 | 1-83702-328-X / 183702328X |
| ISBN-13 | 978-1-83702-328-8 / 9781837023288 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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