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What successes have you experienced with Generative AI?

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Claudia Alcelay
PMI Team Member
Learning & Innovation Research Manager| Project Management Institute (PMI) Spain
Have you experienced wonderful, potentially unexpected successes using Generative AI in your projects? 

I'm eager to hear about the innovative outcomes you've achieved with Gen AI, and how data played a role in these ventures. 

What challenges did you encounter, and what benefits did you realize in this process?
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Aaron Ingram Business Applications Manager| Real Capital Solutions Golden, United States
In my experience, Generative AI has most noticably facilitated speed of coding. Whether it is Python, learning new API structures, or other use cases, GenAI is pretty good about creating a 80% correct framework of code, that just needs to be tweaked. I have had less success with MSFT CoPilot, but am trying to investigate. It would help if MSFT implemented some policies like automatic transcribing which would help us create additional use cases.
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JUAN CAMILO HERNANDEZ MAHECHA PM I| Federacion Nacional de Cultivadores de Palma (FEDEPALMA) - Colombia Bogota D.C., Cundinamarca, Colombia
Personally, I have used AI in brainstorming processes for the development of consulting projects. Also in the development of action plans for projects in productive sectors that require a greater level of depth. In conclusion, the results depend on the clarity of the objectives, examples and instructions provided to the AI ​​tool.
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Akinwale Akinola Head, Project Management| JNC International Ltd Surulere, Lagos, Nigeria

I have already been recognized as an advocate for technology within my organization, particularly for Generative AI (GenAI). Although my organization has not yet formally integrated GenAI into our workflows, I have personally experimented with GPT-3.5, subscribed to GPT-4, and explored the latest GPT-4o, all with remarkable outcomes. The most notable benefit has been the substantial time savings in drafting analyses, writing documentation, and developing initial plans. This technology has significantly enhanced my efficiency and allowed me to work with much less pressure.

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NICOLAS GOMEZ PM Specialist| Occidental de Colombia Bogota, Colombia
I have used GenAI for the elaboration of safety procedures at an oil field.
I used ChatGPT to help me organize team member feedback after a design review meeting for a project where we hired a third party Agency to redesign sections of our website. With the right context and prompt, ChatGPT generated a succinct response in a user friendly and readable format. Everyone was happy with the results.
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Ullice Pelican Orlando, Fl, United States
I have not used it yet but I'm looking forward to it.
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Lakshmy Shankar PM I| IBM INDIA PVT LTD Mumbai, Maharashtra, India
As a project manager, I am using our company's AI tool to draft meaningful mails which are more comprehensive and complete. Due to the hustle of the day, I usually do not get to spend time in drafting complete emails and then the responses go into iterations wasting more time. This has helped me to save time.
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Jonathan Lewis Director of Software Engineering| IFG Companies Inc. Durham, Nc, United States
At this point we have not really performed any experiments. We are still learning.
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Edgar Andres Valbuena Reyes Jefe de Proyectos| CENIT Floridablanca / Bucaramanga, Santander, Colombia
I've using generative AI to generate 1300 APU`s (analysis of unit cost of activities) formats for a RFP for a major client in Colombia. In a weekend with 0 knowledge in Phyton, the task that would take a month, was ready to interact with the team for a collaborative work.
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Abdul Nazeeb Belgaumi Associate Engineering Manager| Virtusa Bangalore, India
Generative AI has made a significant impact across various areas, leading to several key achievements, such as:

Boosting Innovation, Creative Problem-Solving and Streamlining Processes.

Ethical Dilemma(s), Data Dependency and Bias(es)/ Fairness are known challenges. However, the lesser known ones can be these out of many:

Creativity Constraints: While AI can generate content, it may struggle with truly original creativity, often relying on patterns from existing data.

Transparency Issues: The decision-making process of AI models can be opaque, making it difficult to understand how specific outputs were generated.

Scalability Challenges: Implementing generative AI at scale can require significant computational resources, leading to cost and infrastructure concerns.
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