Various types of project reports may be distributed to stakeholders, and should be adapted to provide information

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Question:

Various types of project reports may be distributed to stakeholders, "and should be adapted to provide information at an appropriate level, format, and detail for each type of stakeholder" (PMI, 2017, section 10.2.2.5). Briefly explain what are the Stakeholder Register and the Stakeholder Engagement Plan (see Chapter 13 of PMBOK Guide), and how they support distributing select project information to the correct stakeholders/stakeholder groups. As you likely know, agile project management is gaining traction, so it is important to understand how information is shared in an agile setting. For example, information radiators are widely used on agile projects in lieu of formal project reports. Discuss here some aspects of information radiators and their advantages or disadvantages. (You may want to sign up for free at agilealliance.org and search their site for "information radiator".)

3) Look for articles that discuss the relevance of artificial intelligence (AI), machine learning (ML), and cybersecurity in project management. Here are a few to get started:

https://www.forbes.com/sites/cognitiveworld/2019/07/30/ai-in-project-management/?sh=f113059b4a00
https://www.atlassian.com/blog/software-teams/3-ways-ai-will-change-project-management-better#:~:text=What%20is%20project%20management%20AI,understanding%20of%20key%20project%20performance.
https://pmtips.net/article/what-project-managers-need-to-know-about-cybersecurity
https://www.pmi.org/learning/training-development/projectified-podcast/podcasts/strategy-trends-cybersecurity

How do you envision projects of the future using AI and ML to get the right information, alerts, and reports to the right stakeholders at the right time in the most effective manner and tailored exactly to the needs of each stakeholder - all with little, if any, human involvement? And what might the project manager of the future need to do to ensure that these AI and ML "bots" are not hacked to deliberately create malicious and/or misleading information/reports that might impair project progress? Finally, how might Stakeholder Engagement change if and when AI and ML capabilities like these are common?