Elizabeth HarrinDirector| RebelsGuideToPM.comLondon, England, United Kingdom
There is a lot of talk about AI and project managers are embracing it as far as I can tell. But is there a move corporately at the PMO level or at a management level to bring data science and AI tools into your company? I wonder how many of us are simply using ChatGPT in the absence of any machine learning tools or large data sets that would really elevate our project management practice. Saving Changes...
Hi Elizabeth,
I'd like to push ai in our company.
However, Chat GPT is not allowed to use and up to now there is only the Microsoft Copilot in use (I got one of the very few test license). I would be please to get any further ideas for the use of ai.
Do you know if there exist some additional tools like a contract review tool, a project simulation with ai, etc.?
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1 reply by Tayyaba Rehman
Oct 30, 2023 2:37 PM
Tayyaba Rehman
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we need the right set of data for AI tools to work , and companies need to come clear with an IT policy on the usage of enterprise solutions i.e. Microsoft copilot etc
for now i would say its better to build use cases test them before scaling them across at least that is something we can try after confirming which tools can or cannot be used and there might be certain data set that cannot be used at this point or prompts which is why its pivotal to get the policy first !!
Our institution is looking very strongly at AI not only within the PMO, but across the entire organization. The executive team stood up an AI Strategy Group and are vetting AI tools that are in use through several lenses, especially when it comes to data management and ownership of the inputs that are training the models. In reference to usage within the PMO, we are using tools to capture project meetings (I'm not going to list them here because I don't want to promote certain products) and we are utilizing AI in our enterprise-level PM tool for various project management tasks such as producing project status updates and task summaries. We have placed emphasis on upskilling and budgeting monies for AI training for our PMs. The rapid development of the AI tools makes it very challenging to keep up with the technology, so we are embracing the experimentation phases but with caution & emphasis on the privacy policies, data management & ownership areas in the terms & conditions of the tools. Saving Changes...
Thomas WalentaGlobal Project Economy ExpertHackenheim, Germany
Agree with Raven,
do not think a PMO would be the right place to lead AI into an organization, nor that the question of how AI will influence PM makes a lot of sense.
AI is ubiquitous, it affects society and organisations of all kinds (for profit, governments, volunteers). Any effect of AI will be wide-reaching and eventually reach PM and PMOs. And they can't do much about it.
Think about the introduction of email in the 1990s. Saving Changes...
I think that data science and AI are 2 separate things from a practical perspective to PM.
I know many in the PM community are using AI tools including ChatGPT or similar chatbots. I suspect most are using free versions of off the shelf AI products and the AI built into other programs whether they know it is AI or not.
Data science is another matter. While AI algorithms can be used to automate data analytics or mine the data allowing deeper analysis, they are not required. Data science is a field involving much greater knowledge in math than most non-specialists will ever learn. There are few enough people with that knowledge level and in such demand that they typically earn very high salaries. Integrating databases by itself before even applying AI is a much higher degree of technical knowledge than most PMs possess.
I think most in the PM field hope that AI can link the systems and do the data analytics for them, but lacking understanding of how it works, how do you ask the right questions or validate the answers? Excel for example has multiple powerful AI algorithms already built in, and others that can be added like OpenAI. Most people don't know they exist let alone how and why to use them. Instead, AI is looked at as an almost magical capability to choose and perform advanced algorithms without having to know anything about how they work, believing they will give the neophyte similar capabilities to a trained data scientist. Saving Changes...
Hi Elizabeth,
I'd like to push ai in our company.
However, Chat GPT is not allowed to use and up to now there is only the Microsoft Copilot in use (I got one of the very few test license). I would be please to get any further ideas for the use of ai.
Do you know if there exist some additional tools like a contract review tool, a project simulation with ai, etc.?
we need the right set of data for AI tools to work , and companies need to come clear with an IT policy on the usage of enterprise solutions i.e. Microsoft copilot etc
for now i would say its better to build use cases test them before scaling them across at least that is something we can try after confirming which tools can or cannot be used and there might be certain data set that cannot be used at this point or prompts which is why its pivotal to get the policy first !! Saving Changes...
