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How can AI make our jobs easier to allow us more time to work on strategy and planning?

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Kara Austin
PMI Team Member
Director EPMO| PMI Middletown, De, United States
As project professionals, AI is transforming the way that we work, potentially allowing us to shift our focus from daily, routine tasks to more strategic endeavors. How can AI make our jobs easier to allow us more time to work on strategy and planning? 
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Rami Kaibni
Community Champion
Senior Projects Manager | Field & Marten Associates New Westminster, British Columbia, Canada
Kara, I believe there are many ways AI can help us do that and make our work more efficient such as Automating Repetitive Tasks, Process Automation, Resources Optimization, Insights from Data Analysis and many more. .
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1 reply by Kara Austin
Feb 14, 2024 4:45 PM
Kara Austin
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I am definitely interested in looking into each one of these ideas!
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Jaco Cheung Vancouver, British Columbia, Canada
AI can streamline tasks by automating repetitive processes, such as data entry and analysis, freeing up time for strategic thinking. Natural Language Processing algorithms can sift through vast amounts of data to extract insights, aiding decision-making. Additionally, AI-driven predictive analytics can forecast trends and patterns, enabling proactive planning rather than reactive responses. I believe these advancements empower professionals to focus on higher-value activities, fostering innovation and growth within their respective industries.
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1 reply by Kara Austin
Feb 14, 2024 4:46 PM
Kara Austin
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More great ideas. Thanks for sharing. If you have any suggestions for automation tools to try, I would be interested.
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Kara Austin
PMI Team Member
Director EPMO| PMI Middletown, De, United States
Feb 13, 2024 7:23 PM
Replying to Rami Kaibni
...
Kara, I believe there are many ways AI can help us do that and make our work more efficient such as Automating Repetitive Tasks, Process Automation, Resources Optimization, Insights from Data Analysis and many more. .
I am definitely interested in looking into each one of these ideas!
avatar
Kara Austin
PMI Team Member
Director EPMO| PMI Middletown, De, United States
Feb 14, 2024 12:36 PM
Replying to Jaco Cheung
...
AI can streamline tasks by automating repetitive processes, such as data entry and analysis, freeing up time for strategic thinking. Natural Language Processing algorithms can sift through vast amounts of data to extract insights, aiding decision-making. Additionally, AI-driven predictive analytics can forecast trends and patterns, enabling proactive planning rather than reactive responses. I believe these advancements empower professionals to focus on higher-value activities, fostering innovation and growth within their respective industries.
More great ideas. Thanks for sharing. If you have any suggestions for automation tools to try, I would be interested.
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Aaron Porter
Community Champion
IT Director| Blade HQ Payson, UT, United States
Is AI making our jobs easier? What are these daily, routine tasks that a simulated intelligence is going to do for us? Can it do them without autonomy or automation (things publicly available AI doesn't come with, at least not for free)?

Instead of teaching people how to come up with user stories and use cases, maybe running workshops to create them, I'm teaching people how to write prompts to come up with user stories and use cases, maybe running workshops to review them and make sure they reflect our reality. It's too soon to say if that's making things easier. Some projects are getting faster, but I also have people willing to accept whatever AI gives them, without any review or validation. In this case, AI is giving us another potential point of failure.

The average project manager does not have vast amounts of project data that an AI can connect with. If you want AI insights into your project data, you likely have to enter it into a third-party AI, so you have to be careful about what data you enter into it.

Which repetitive project management tasks can AI automate? Writing code? No, that's not a PM task. Testing code? That's not, either. Creating the project schedule? AI can do this if you enter in the details, but where does it put them and how do you keep it up to date?

Let's have a real conversation about actual use cases where AI can help us do our jobs, digging into how the use cases work, or don't, instead of just listing features that may have little bearing on our actual work. Personally, I think there's a stronger use case for using AI to help with project strategy than day-to-day management of a project schedule. For example, AI is going to be more helpful in identifying potential risks and mitigations than in updating somebody's task status. I've used it for this on projects where nobody else wanted to talk about risk management. It made that part easier, but I still had to vet the information and get buy-in for owners and mitigations.

AI can be a powerful tool. It's worth understanding and figuring out how to best use it, including how to create good prompts. Good prompts are the key to effective use of AI. This may change the steps we take to accomplish our tasks, but that just means different, not always easier.
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1 reply by Kara Austin
Feb 25, 2024 3:59 PM
Kara Austin
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Prompts are the key here I agree. AI is not able to automatically do tasks without the set up. I do enjoy AI for meeting minutes and for helping to create a PowerPoint presentation. Even if I have to validate the content and edit, it's a very nice head start. Day-to-day project schedules are definitely a hands up PM responsibility and your point about getting help with strategy got me thinking.
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Sergio Luis Conte Helping to create solutions for everyone| Worldwide based Organizations Buenos Aires, Argentina
Generative AI will help you to work in strategy and planning. In fact, is one of the field where it best fits. Just take into account that when you use generative Ai lot of things has to be taken into account. For example, if an organization will use it almost a new business unit has to be created to deal with some issues. AI in general help on what you state from long time ago. More than 40 years ago tools for working in project/program/portfolio management include AI. Mainly to synthetize a hugh amount of data that could be useful for taking decisions.
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1 reply by Kara Austin
Feb 25, 2024 4:19 PM
Kara Austin
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This call out to over 40 years ago is very fascinating to me. The conversations make AI sound new but it's a nice reminder that it was used for data analysis.
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Sanam Taj Senior Business Analyst| Infrarisk Ltd. U.K. Cardiff, Wales, United Kingdom
I just completed the free course by PMI "Generative AI Overview for Project Managers" this is a good introduction course. It mentions the following areas that a PM could use AI to improve efficiency and productivity in a project, using AI.

Defining the "What" and "How" to the AI took, and asking it to generate AI results based on the PMI triangle would make the results easier to apply.

I think GenAI can help a PM in the following ways:
- Offer advice (if you are dealing with a new knowledge base, or on methodologies, etc.)
- Make recommendations throughout the PM process
- Create Presentations and Reports with a lot more data and accuracy
- Summarize and Document Meetings
- Make more data driven predictions
- Act as a mentor or coach when the PM needs how to deal with a certain issue.

Initially we need to put in quite a bit of work, so that the Project can be explained and input into the AI tool. But once that is done, if AI can manage repetitive and mundane tasks, then the PM can spend more time on strategy and planning.
avatar
Kara Austin
PMI Team Member
Director EPMO| PMI Middletown, De, United States
Feb 14, 2024 5:13 PM
Replying to Aaron Porter
...
Is AI making our jobs easier? What are these daily, routine tasks that a simulated intelligence is going to do for us? Can it do them without autonomy or automation (things publicly available AI doesn't come with, at least not for free)?

Instead of teaching people how to come up with user stories and use cases, maybe running workshops to create them, I'm teaching people how to write prompts to come up with user stories and use cases, maybe running workshops to review them and make sure they reflect our reality. It's too soon to say if that's making things easier. Some projects are getting faster, but I also have people willing to accept whatever AI gives them, without any review or validation. In this case, AI is giving us another potential point of failure.

The average project manager does not have vast amounts of project data that an AI can connect with. If you want AI insights into your project data, you likely have to enter it into a third-party AI, so you have to be careful about what data you enter into it.

Which repetitive project management tasks can AI automate? Writing code? No, that's not a PM task. Testing code? That's not, either. Creating the project schedule? AI can do this if you enter in the details, but where does it put them and how do you keep it up to date?

Let's have a real conversation about actual use cases where AI can help us do our jobs, digging into how the use cases work, or don't, instead of just listing features that may have little bearing on our actual work. Personally, I think there's a stronger use case for using AI to help with project strategy than day-to-day management of a project schedule. For example, AI is going to be more helpful in identifying potential risks and mitigations than in updating somebody's task status. I've used it for this on projects where nobody else wanted to talk about risk management. It made that part easier, but I still had to vet the information and get buy-in for owners and mitigations.

AI can be a powerful tool. It's worth understanding and figuring out how to best use it, including how to create good prompts. Good prompts are the key to effective use of AI. This may change the steps we take to accomplish our tasks, but that just means different, not always easier.
Prompts are the key here I agree. AI is not able to automatically do tasks without the set up. I do enjoy AI for meeting minutes and for helping to create a PowerPoint presentation. Even if I have to validate the content and edit, it's a very nice head start. Day-to-day project schedules are definitely a hands up PM responsibility and your point about getting help with strategy got me thinking.
avatar
Kara Austin
PMI Team Member
Director EPMO| PMI Middletown, De, United States
Feb 15, 2024 7:37 AM
Replying to Sergio Luis Conte
...
Generative AI will help you to work in strategy and planning. In fact, is one of the field where it best fits. Just take into account that when you use generative Ai lot of things has to be taken into account. For example, if an organization will use it almost a new business unit has to be created to deal with some issues. AI in general help on what you state from long time ago. More than 40 years ago tools for working in project/program/portfolio management include AI. Mainly to synthetize a hugh amount of data that could be useful for taking decisions.
This call out to over 40 years ago is very fascinating to me. The conversations make AI sound new but it's a nice reminder that it was used for data analysis.
avatar
Danny PMP, PgMP
Community Champion
Senior Consultant Tokyo, Japan

Maybe PMI's publication 'Talking to the Machine: Prompt Engineering Essentials for Project Professionals' is worth your time to read.

https://www.pmi.org/learning/thought-leade...engineering

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