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The AI Revolution in Project Management: Elevating Productivity with Generative AI
Citizen Development: The Handbook for Creators and Change Makers
A Guide to the Project Management Body of Knowledge: PMBOK 7th Edition 2021
PMP Project Management Professional Exam Study Guide
Microsoft Project Step by Step
Microsoft Project
Managing Enterprise Projects: Using Project Online and Microsoft Project Server
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Project Management: What is the number one thing that I should learn to advance my PM Career?
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We queried all of the following Generative AI tools with the exact same prompt:
""Think like a senior project management coach. Moving into 2025, what is the number one thing that I should learn to advance my career as a project manager?"
Here are the results:
- PMI Infinity - Adaptability and Continuous Learning
- Microsoft Copilot - Agile and Hybrid methodologies
- ChatGPT - AI
- Gemini - Leadership and influencing skills
- Grok - AI literacy and integration
- Meta AI - Adaptive Leadership and Strategic Agility
Now, you be the "human in the loop" to decide which is the best response for you!
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Posted by webadmin on Wednesday, January 08 @ 22:53:25 EST (78 reads)
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Project Management: AI Essentials for Project Managers
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About This Course This course focuses on leveraging the latest, modern technology to improve processes and decision making related to Project Management. It is geared to provide two things:
A Path - This course will guide you through various topics starting simple and adding complexity with each new topic.
A Pragmatic Approach - This course is built to show you "How to work with AI", not "How AI works". These phrases are very similar, but as a project professional you will gain more value in actually learning how to leverage the technology.
More Details- 8 Modules
- 34 Lessons (Expand Course Curriculum below)
- 6 Hands-On Assignments
- 6 Quizzes
- Step-by-Step with Screenshots
- Many SHORT videos
- Self-Paced
- Approximately 6 hours
- Course Completion Certificate
Course Curriculum- Module 1: Introduction to AI
- Module 2: AI Technologies and Applications
- Module 3: Practical AI Implementation
- Module 4: Generative AI and Prompt Engineering
- Module 5: Intelligent Automation
- Module 6: Custom Chatbots
- Module 7: Data Visualization
- Module 8: Wrap-Up
Find more details and register for this course from HERE
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Posted by webadmin on Thursday, December 19 @ 05:14:22 EST (61 reads)
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Project Management: PMI Infinity 2.0 Training
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About This Course The PMI Infinity 2.0 Training course is designed to provide project management professionals with a comprehensive understanding of PMI Infinity, an advanced Generative AI solution tailored for the project management profession.
Participants will engage with various learning materials, including short videos, quizzes, a Capstone Assignment, and a Final Exam. The "Watch and Do" format encourages active learning, requiring participants to use two monitors—one to watch instructional videos and the other to replicate the demonstrated steps, ensuring practical experience.
This online, self-paced course is Led by a seasoned PMI authorized PMP trainer, the course offers valuable insights into PMI Infinity's features, including the Guided Experience and Prompt Library.
By the end of the training, participants will be well-equipped to enhance their project management practices using this powerful AI tool.
Course Details- 4 Modules
- Over 20 Lessons (Expand Course Curriculum below)
- Many short high-quality "How To" videos
- Module Quizes and Final Exam to reinforce learning
- Approximately 3 hours
- Course Completion Certificate
Course Curriculum- Module 1 - Introduction
- Module 2 - Demonstration
- Module 3 - Use Cases
- Module 4 - Wrap Up
Find more details about this course from HERE
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Posted by webadmin on Thursday, December 19 @ 05:02:42 EST (60 reads)
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Project Management: PMConnection Copilot - Your Intelligent Project Management Assistant
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"PMConnection Copilot" is your Intelligent Project Management Assistant Chat with 'PMConnection Copilot' HERE
More about PMConnection Copilot: - It is an AI Agent - Built using Microsoft Copilot Studio - It's primary source of reference is the entire PMConnection website - Content on the PMConnection website dates back to 2005 and is frequently updated - Primary website topics include; Project Management, Agile, Scrum, Kanban, Microsoft Planner, Microsoft Project, Project Online, Program Management, PMO's, Portfolio Management, the PMP Exam, Citizen Development, as well as Artificial Intelligence or AI in Project Management.
Give PMConnection Copilot a try! Ask it anything related to Project Management from HERE
Regeister for the ONE AND ONLY , weekly ' AI in Project Management" Newsletter HERE
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Posted by webadmin on Sunday, November 24 @ 01:44:20 EST (137 reads)
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Project Management: AI Essentials for Project Professionals
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This is a Book Review of "AI Essentials for Project Professionals" Author(s): Project Management Institute (PMI) Publisher: Project Management Institute Year: 2024 Pages: 48
ISBN: EL172
The "AI Essentials for Project Professionals"
guide, published by the Project Management Institute, is a timely and essential
resource for project management professionals looking to stay ahead in the
rapidly evolving Exponential Age. As AI continues to revolutionize industries,
this guide serves as an accessible yet comprehensive entry point for project
managers to harness the power of artificial intelligence in their daily
operations.
At the heart of the guide is an exploration of how AI can transform project
management by enhancing efficiency, decision-making, and overall project
success. The book delves into the key elements of AI, including perception,
prediction, and planning, and highlights their relevance to project management
tasks. With a clear structure, the guide offers insights into AI applications
like predictive analytics, generative AI, and augmented intelligence,
emphasizing the impact of AI on project planning, risk management,
communication, and collaboration.
One of the standout sections of the book is the breakdown of the seven AI
patterns—from autonomous systems to predictive analytics—which provides project
managers with practical frameworks to integrate AI solutions into their
projects. This approach is particularly beneficial for those looking to enhance
project planning, optimize resource allocation, or streamline decision-making
processes.
The guide also addresses the ethical implications and risks associated with AI
adoption, such as data privacy, bias, and misinformation. By emphasizing a
balanced approach, it encourages project professionals to leverage AI as a
co-pilot rather than a replacement for human expertise. The inclusion of
real-world examples, case studies, and actionable prompts makes this guide not
only theoretical but also highly practical for immediate application.
Furthermore, the guide’s emphasis on continuous learning and adaptability
underscores the need for project managers to remain agile and informed as AI
technologies evolve. The resources section, along with PMI’s additional tools
like the PMI Infinity™ platform, provides readers with further avenues for
deepening their understanding of AI's potential in project management.
Conclusion
"AI Essentials for Project Professionals" is a must-read for project
managers and organizations aiming to leverage AI to drive innovation,
efficiency, and project success. It strikes a perfect balance between
foundational AI knowledge and actionable strategies, making it an invaluable
resource for professionals at any stage of their AI journey.
PMI Member Price: $0 | Full Price: $24.95 Acquire this book from HERE
Get the ONE AND ONLY....weekly...'AI in Project Management' Newsletter HERE. No fluff...we promise!
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Posted by webadmin on Saturday, November 16 @ 05:32:51 EST (215 reads)
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Project Management: AI in Project Management Certifications
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AI in Project Management Certifications Artificial Intelligence (AI) is becoming an essential part of project management. As organizations adopt AI to optimize workflows, project managers need to acquire new skills to stay competitive. To meet this growing demand, various certifications have been developed to equip project managers with AI capabilities. Here are 14 certifications, each offering specialized training to help project managers excel in an AI-driven world. 1. AI Essentials for Project Managers- Organization: PMConnection
- Price: $49
- Duration: 6 hours, Online, Self-paced
- Overview: Focuses on integrating AI into project management, covering content from PMI and Microsoft. 8 Modules, 34 Lessons, Hands-On Assignments, 6 Quizzes, Step-by-Step with Screenshots, Many SHORT videos.
- Certification: Course Completion Certificate and 6 PDU's
- URL: AI Essentials for Project Managers
2. Introduction to Cognitive Project Management- Organization: PMI / Cognilytica
- Price: Free
- Duration: 3 hours, Online, Self-paced (2 lessons)
- Overview: Covers key AI concepts, data readiness, and reasons for AI project failures.
- Certification: Course Completion Certificate
- URL: Introduction to Cognitive Project Management
3. Cognitive Project Management for AI (CPMAI)- Organization: PMI / Cognilytica
- Price: $995
- Duration: 22 hours, Online, Self-paced (20 lessons)
- Overview: Comprehensive training on AI fundamentals, applications, and the CPMAI methodology.
- Certification: CPMAI v7.0 Certification Exam
- URL: CPMAI Certification
4. CPMAI+PLUS Certification- Organization: PMI / Cognilytica
- Price: $1,195
- Duration: 36 hours, Online, Self-paced (28 lessons)
- Overview: Advanced training including AI & ML project management strategies.
- Certification: CPMAI v7.0 Certification Exam
- URL: CPMAI+PLUS Certification
5. CPMAI+E (Ethics Focus)- Organization: PMI / Cognilytica
- Price: $1,395
- Duration: 48 hours, Online, Self-paced (35 lessons)
- Overview: Covers ethical considerations in AI projects, along with all CPMAI+PLUS content.
- Certification: CPMAI v7.0 Certification Exam
- URL: CPMAI+E Certification
6. AI-Driven Project Management 'Certification' (AIPM)
- Organization: APMG International
- Price: $399
- Duration: 8 hours. Live Workshop
- Overview: Focuses on fundamentals of AI in Project Management. This is the exam for #7.
- Certification: 40-minute multiple-choice exam. 40 Questions.
- URL: APMG AI Certification
7. AI-Driven Project Management Revolution - 'Masterclass'
- Organization: AI-Driven Project Management Revolution
- Price: $399
- Duration: 8 hours. Live Workshop
- Overview: Focuses on fundamentals of AI in Project Management. This is the workshop for #6.
- Certification: Course Completion Certificate
- URL: AI-Driven Project Management Revolution - Masterclass
8. AI Masterclass-Unlocking Productivity Secrets for PMs9. Certification in Generative AI in Project Management
- Organization: Global Skill Development Council (GSDC)
- Price: $200
- Duration: Online, Self-paced, Weeks to Months to complete
- Overview: Focuses on AI and ML applications in project management.
- Certification: 60-minute multiple-choice exam. 40 Questions.
- URL: Certification in Generative AI in Project Management
10. Generative AI for Project Managers Specialization- Organization: IBM on Coursera
- Price: Free
- Duration: 21 hours, Online, Self-paced
- Overview: Covers AI fundamentals, applications, and ethics in project management.
- Certification: Course Completion Certificate
- URL: Generative AI for Project Managers Specialization
11. Certified Generative AI in Project Management- Organization: Agile Asia
- Price: $2,725
- Duration: 2 days, In-person
- Overview: Practical applications of generative AI in project management.
- Certification: 60-minute closed-book exam. 40 Questions.
- URL: Certified Generative AI in Project Management
12. AI for Project Managers and Scrum Masters- Organization: Coursera
- Price: Free
- Duration: 1 hour, Online, Self-paced
- Overview: Integrating AI into agile and Scrum methodologies.
- Certification: Course Completion Certificate
- URL: AI for Project Managers and Scrum Masters
13. AI Essentials- Organization: IIL
- Price: $750
- Duration: 7 hours - Live Workshop
- Overview: Overview of AI Concepts, Benefits, Challenges, and Future Opportunities.
- Certification: 30-minute multiple-choice exam. 20 Questions.
- URL: AI Essentials
14. AI Foundation
- Organization: IIL
- Price: $1,950
- Duration: 21 hours - Live Workshop
- Overview: Ethical AI: Benefits, Challenges, and Human-Machine Collaboration.
- Certification: 60-minute multiple-choice exam. 40 Questions.
- URL: AI Foundation
15. Generative AI Overview for Project Managers
- Organization: PMI
- Price: Free
- Duration: 1 hour - Online self-paced learning
- Overview: Basic understanding of Generative AI (GenAI) in project management.
- Certification: Badge from PMI and 5 PDU's.
- URL: Generative AI Overview for Project Managers
16. Talking to AI: Prompt Engineering for Project Managers
17. Data Landscape of GenAI for Project Managers
- Organization: PMI
- Price: $19 or Free for Members
- Duration: 5 hours - Online self-paced learning
- Overview: Implementing GenAI: Data, Governance, Ethics, and Risks.
- Certification: Badge from PMI and 5 PDU's.
- URL: Data Landscape of GenAI for Project Managers
18. Practical Application of Generative AI for Project Managers- Organization: PMI
- Price: $19 or Free for Members
- Duration: 5 hours - Online self-paced learning
- Overview: Strategically combine AI tools, understand prompting techniques, and implement automation into workflows for improved outcomes.
- Certification: Badge from PMI and 5 PDU's.
- URL: Practical Application of Generative AI for Project Managers
The Importance of AI Certifications in Project Management AI certifications equip project managers with the skills needed to excel in an AI-driven world. These courses not only expand knowledge in AI tools and techniques but also enhance decision-making, risk management, and project optimization. By investing in these certifications, project managers can stay ahead of industry trends and drive successful AI integration in their projects.
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Posted by webadmin on Saturday, November 09 @ 03:46:04 EST (557 reads)
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Project Management: The Intersection of AI, Project Management, and the CEO
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The Intersection of AI, Project Management, and the CEO
Watch video HERE
In today’s rapidly evolving business landscape, the integration of Artificial Intelligence (AI) into project management is transforming how organizations operate. This transformation is particularly significant for CEOs, who must navigate the complexities of AI adoption while steering their companies towards success. The Role of AI in Project ManagementAI is revolutionizing project management by automating routine tasks, enhancing decision-making, and improving efficiency. Traditional project management often involves manual processes that can be time-consuming and prone to human error. AI, however, can automate scheduling, resource allocation, and risk management, allowing project managers to focus on strategic planning and problem-solving. For instance, AI-powered tools can analyze historical data to predict project outcomes, identify potential risks, and suggest mitigation strategies. This predictive capability enables project managers to make informed decisions, ensuring projects stay on track and within budget. Additionally, AI can facilitate real-time collaboration by providing insights and updates, fostering a more agile and responsive project management environment. The CEO’s PerspectiveFor CEOs, the integration of AI into project management presents both opportunities and challenges. On one hand, AI can drive significant improvements in productivity and efficiency, leading to cost savings and competitive advantages. On the other hand, CEOs must address concerns related to data privacy, security, and the potential displacement of human workers. To successfully leverage AI, CEOs need to foster a culture of innovation and continuous learning within their organizations. This involves investing in employee training and development to ensure the workforce is equipped with the necessary skills to work alongside AI technologies. Moreover, CEOs must prioritize ethical considerations, ensuring that AI is used responsibly and transparently. Strategic ImplementationThe successful implementation of AI in project management requires a strategic approach. CEOs should start by identifying areas where AI can add the most value, such as automating repetitive tasks or enhancing data analysis capabilities. It is also crucial to select the right AI tools and technologies that align with the organization’s goals and objectives. Collaboration between the CEO, project managers, and IT departments is essential to ensure a smooth integration process. This collaboration should include setting clear expectations, defining success metrics, and continuously monitoring the impact of AI on project outcomes. By taking a proactive and collaborative approach, CEOs can maximize the benefits of AI while minimizing potential risks. The Future of AI in Project ManagementAs AI continues to evolve, its impact on project management will only grow. Emerging technologies such as machine learning, natural language processing, and robotic process automation will further enhance the capabilities of AI-powered project management tools. For CEOs, staying ahead of these trends is crucial to maintaining a competitive edge. In conclusion, the integration of AI into project management offers significant benefits for organizations, from increased efficiency to improved decision-making. For CEOs, embracing AI requires a strategic and ethical approach, focusing on fostering innovation, collaboration, and continuous learning. By doing so, they can navigate the complexities of AI adoption and lead their organizations towards a successful and sustainable future.
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Posted by webadmin on Friday, August 30 @ 17:43:52 EDT (276 reads)
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Project Management: Current Trends in Project Management - June 2024
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Current Trends in Project Management - June 2024
The landscape of project management is continually evolving,
and as of 2024, several key trends have emerged at the forefront of this field.
Here are the current top five trends in project management:
1. Increased Focus on Automation: Automation is becoming
increasingly integral to project management. By automating routine and
repetitive tasks, project managers can focus on more strategic aspects of their
projects. This includes leveraging AI for generating performance insights, supporting
decision-making processes, making predictions, optimizing resource scheduling,
enabling data visualization, and performing risk analysis.
2. Generative AI (GenAI): GenAI is transforming project
management by assisting in project planning, execution, and delivery. It helps
in designing project plans, accounting for potential risks, preparing resource
allocation, monitoring project progress, and generating content for reporting
and documentation. The adoption of GenAI tools is expected to become the norm
in project management practices.
3. Advanced Resource and Project Management Software: The
development and adoption of sophisticated project management software continue
to rise. These platforms are designed to handle complex projects and facilitate
collaboration among virtual, remote teams. They integrate various
functionalities such as big data analytics, AI, IoT, and machine learning to
provide comprehensive project insights and enhance efficiency.
4. Hybrid Project Management Methodologies: There is a
growing preference for hybrid methodologies that combine the strengths of both
traditional and agile approaches. This trend reflects the need for flexibility
and adaptability in managing projects, allowing teams to tailor their methods
to the specific needs of each project.
5. Laser Focus on Data: Data-driven decision-making is
becoming a cornerstone of project management. With a laser focus on data,
project managers can make more informed decisions, predict project outcomes,
and drive improvements. This trend underscores the importance of data analysis
skills and tools in the modern project management toolkit.
These trends highlight the dynamic nature of project
management and the importance of staying updated with the latest technologies
and methodologies to ensure success in this field.
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Posted by webadmin on Monday, June 17 @ 21:55:33 EDT (323 reads)
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Project Management: What is Project Controls
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What is Project Contols? Watch Video HERE
Listen to Podcast HERE Project controls are integral to the field of project management, serving as the mechanisms through which project managers can ensure that a project adheres to its planned scope, time, and cost constraints. These controls are a combination of tools, techniques, and processes that work in unison to help project managers monitor and control project variables. The six primary project constraints that project controls aim to manage include time, cost, scope, quality, risk, and resources. Effective project controls are proactive, allowing managers to identify potential issues before they become problems and to make informed decisions that keep the project on track. Implementing project controls involves several key practices: 1. Schedule Management: Establishing and maintaining a project timeline that reflects all activities, their sequence, dependencies, and duration. 2. Cost Management: Tracking and controlling the budget to ensure the project is completed within the approved financial plan. 3. Scope Management: Ensuring the project includes all the work required, and only the work required, to complete the project successfully. 4. Quality Management: Overseeing activities and tasks to ensure that the project's deliverables meet the agreed-upon standards. 5. Risk Management: Identifying, analyzing, and responding to project risks to minimize the impact on the project. 6. Resource Management: Allocating and utilizing resources in an efficient manner while ensuring that resource availability does not become a constraint. Project controls are not static; they are dynamic and should be adjusted as the project evolves. They are set up throughout the project life cycle, from initiation to closure, and can take many forms, such as a RACI matrix, a work breakdown structure (WBS), or the critical path method (CPM). Additionally, project management software can be utilized to facilitate project controls, offering features like Gantt charts, kanban boards, and project dashboards to collect data, report progress, and manage the critical path. While project controls are a subset of project management, they are distinct in their focus. Project management covers a broader spectrum, including planning, executing, and closing projects, whereas project controls specifically target the measurement and regulation of project constraints to ensure the project's success within its defined parameters. In summary, project controls are essential for the successful delivery of projects. They provide the structure and processes necessary to manage the complexities of modern projects, enabling project managers to deliver results that meet the expectations of stakeholders. Implementing robust project controls is a critical skill for any project manager looking to ensure their projects are completed on time, within budget, and to the required quality standards.
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Posted by webadmin on Monday, June 03 @ 22:33:08 EDT (336 reads)
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Project Management: The difference between a Product Backlog, Release Backlog, and Iteration Backlog
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The difference between a Product Backlog, Release Backlog,
and Iteration Backlog is as follows:
- Product Backlog: The product backlog is a list of all the
product backlog items, such as user stories, requirements, or features, that
need to be delivered for a solution. The items in the product backlog are
ranked in order of business value or importance to the customer and are
continuously updated throughout a product’s life cycle or a project’s duration.
The business analysis effort for any product backlog item focuses on making
sure that product backlog items meet the definition of ready. Making a product backlog item ready helps the team refine its
business understanding of that item to the point where it has enough
information to begin development.
- Release Backlog: The release backlog is a subset of the
product backlog that contains the items that the team has committed to
delivering in a specific release. The release backlog is created by selecting,
in prioritized order, those items that the team is about to commit to deliver
in an upcoming release. The release backlog is continuously updated throughout
the release cycle.
- Iteration Backlog: The iteration backlog is a subset of
the release backlog that contains the items that the team has committed to
delivering in a specific iteration. The iteration backlog is created by
selecting, in prioritized order, those items that the team is about to commit
to deliver in an upcoming iteration. The iteration backlog is continuously
updated throughout the iteration cycle.
In summary, the product backlog is a list of all the items
that need to be delivered for a solution, the release backlog is a subset of
the product backlog that contains the items that the team has committed to
delivering in a specific release, and the iteration backlog is a subset of the
release backlog that contains the items that the team has committed to
delivering in a specific iteration.
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Posted by webadmin on Saturday, June 01 @ 11:54:13 EDT (422 reads)
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"Your guided path to acquire the Six Sigma Greenbelt"
"65 Questions and Suggested Answers"
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AI in Project Management Newsletter
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Use Google technology to search the entire PMConnection website here.
Use Microsoft technology to chat with PMConnection Copilot here.
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Free Project Management and Microsoft Project Schedule Templates here!
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The Project Management Mall - Now Open!
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