Difference between revisions of "Project Management"

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* Over the next three years, project professionals expect the proportion of projects they manage using AI to jump from 23% to 37%, according to PMI’s “AI Innovators: Cracking the Code on Project Performance.
 
* Over the next three years, project professionals expect the proportion of projects they manage using AI to jump from 23% to 37%, according to PMI’s “AI Innovators: Cracking the Code on Project Performance.
 
* AI can add value in different stages of the project lifecycle, such as:
 
* AI can add value in different stages of the project lifecycle, such as:
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    * Allocating resources and distributing tasks, based on data from past projects and current availability.
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** Allocating resources and distributing tasks, based on data from past projects and current availability.
−
    * Assisting in matching the right skills and responsibilities to the right resources, by analyzing the competencies and preferences of team members.
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** Assisting in matching the right skills and responsibilities to the right resources, by analyzing the competencies and preferences of team members.
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    * Helping with the hiring process by engaging the most competent talent for your project, using natural language processing and chatbots.
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** Helping with the hiring process by engaging the most competent talent for your project, using natural language processing and chatbots.
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    * Predicting costs and schedules with a higher degree of confidence, by using AI-powered data analysis that looks at data from past projects.
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** Predicting costs and schedules with a higher degree of confidence, by using AI-powered data analysis that looks at data from past projects.
−
    * Providing insights and guidance based on data, such as lessons learned, risks, opportunities, and best practices.
+
** Providing insights and guidance based on data, such as lessons learned, risks, opportunities, and best practices.
−
    * Automating administrative tasks such as meeting planning, reminders, day-to-day updates, and documentation.
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** Automating administrative tasks such as meeting planning, reminders, day-to-day updates, and documentation.
 
* AI can also help project managers to focus on higher-level, complex activities and planning, as well as coaching and supporting the team, maintaining regular conversations with key stakeholders, and cultivating a high-performing culture.
 
* AI can also help project managers to focus on higher-level, complex activities and planning, as well as coaching and supporting the team, maintaining regular conversations with key stakeholders, and cultivating a high-performing culture.
 
* AI will not replace project managers, but rather act as an assistant that can support decision making and improve project outcomes.
 
* AI will not replace project managers, but rather act as an assistant that can support decision making and improve project outcomes.

Revision as of 20:32, 9 July 2023

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We haven't got the money, so we'll have to think - Ernest Rutherford


AI in Project Management

  • Artificial intelligence (AI) is the application of cutting-edge tools and machine learning algorithms to augment and automate the decision-making process, ultimately enhancing project performance and efficiency.
  • AI has already begun making its way into more traditional settings to enhance or supplant tasks traditionally done by humans — including project managers.
  • Over the next three years, project professionals expect the proportion of projects they manage using AI to jump from 23% to 37%, according to PMI’s “AI Innovators: Cracking the Code on Project Performance.
  • AI can add value in different stages of the project lifecycle, such as:
    • Allocating resources and distributing tasks, based on data from past projects and current availability.
    • Assisting in matching the right skills and responsibilities to the right resources, by analyzing the competencies and preferences of team members.
    • Helping with the hiring process by engaging the most competent talent for your project, using natural language processing and chatbots.
    • Predicting costs and schedules with a higher degree of confidence, by using AI-powered data analysis that looks at data from past projects.
    • Providing insights and guidance based on data, such as lessons learned, risks, opportunities, and best practices.
    • Automating administrative tasks such as meeting planning, reminders, day-to-day updates, and documentation.
  • AI can also help project managers to focus on higher-level, complex activities and planning, as well as coaching and supporting the team, maintaining regular conversations with key stakeholders, and cultivating a high-performing culture.
  • AI will not replace project managers, but rather act as an assistant that can support decision making and improve project outcomes.


Product Roadmap

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Scaling AI: The Roadmap
Navigate your AI project’s ‘journey to live’ using the roadmap, and use the checkpoints as guiding markers to help take your project beyond proof of concept to value realization. Learn more: https://accntu.re/31NqeeE

How AI is changing Product Management by fmr Microsoft GPM
A Product Management event in Seattle on how AI in changing PM. Founded in Silicon Valley in 2014, Product School is the global leader in product management training, with over 10,000 alumni, 20 campuses worldwide and a live online campus.

Lean and Mean: Building the Roadmap Machine by Expedia Group PM
A Product Management Event in London on building powerful roadmaps. Subscribe here: https://bit.ly/2xMQLbS

How to Drive Roadmap Prioritization and Planning by Microsoft PM
Product Management Event in Seattle about How to Drive Roadmap Prioritization and Planning. Subscribe here: https://bit.ly/2xMQLbS


Estimation

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Return on Investment (ROI)

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How to compute the ROI on AI projects?
Figuring out the ROI on AI implementations can be challenging. We offer some guidance on how to do that in this video. You can use this framework to make sure that you consider the many aspects of ROI that are especially required for AI projects. Contact the authors at: mehran.irdmousa@mziaviation.com, dr.raj.ramesh@gmail.com

Getting to AI ROI: Finding Value in Your Unstructured Content
Artificial Intelligence is definitely having its moment, but if you’re like most companies, you haven’t yet been able to capture ROI from these exciting technologies. It seems complicated, expensive, requires specialized talent, crazy data requirements, and more. Your boss may have dropped a vague missive onto your desk asking you to “figure out how AI can help enhance our business.” You have piles and piles of unstructured content—contracts, documents, feedback, but you haven’t been able to drive value from your data. Where to even start?

Enterprise Project Portfolio Management (EPPM)

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Run Successful Projects with Machine Learning in EPPM with SAP S/4HANA Cloud
See how successful projects work at intelligent enterprises. Maximize your chances of success, while minimizing risk with intelligent ERP.

Implementing Enterprise Project Portfolio Management for a Multi-maturity Organization
An enterprise system typically isn't tailored to meet the needs of ALL users. An enterprise system is just that, a tool to be shared and used by the entire organization. The problem is that most teams in an organization work differently. They have different processes, they follow different leaders, they have different areas of focus, and most of all, they are at different maturity levels within the PM maturity.

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