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Gen AI: What tools and resources do you find indispensable for enhancing your capabilities?

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Claudia Alcelay
PMI Team Member
Learning & Innovation Research Manager| Project Management Institute (PMI) Spain
I'm keen to delve into your tools for working with Generative AI data. What tools and resources do you find indispensable?

From purchasing synthetic data to the apps you use for deploying and fine-tuning AI models, how do you manage your data cleaning processes?

Which charting and visualization tools do you prefer for data representation?

Your recommendations are a treasure trove of insights for those of us looking to enhance our Gen AI capabilities!
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Tracey Vogen Canonsburg, Pa, United States
We have been using ChatGPT for emails, meeting notes and some document writing. I also use CoPilot for documents.
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Atarebono Amwelmoo Missouri State University Springfield, MO, United States
I currently work in the health and human services where data privacy is critical. I’d love to lean more about how GenAI can be used effectively in this field to create business value while protecting personal information.
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JAMES BWAMBALE Executive| Tandem group Kampala, 113, Uganda

GenAI models make work easier and quicker. But human(s) in the middle is really critical and should be consistently ensured by a PM.

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Jasmina Golaboska Ladbergen, NW, Germany
At this stage, I’m still quite new to working with Generative AI and data, so my “toolkit” is very simple. I mainly use hosted GenAI tools like ChatGPT to explore what’s possible, and traditional tools like Excel or Google Sheets to work with small datasets. I haven’t yet bought synthetic data, fine‑tuned models, or deployed anything into production – my focus right now is on building a basic understanding rather than running advanced AI pipelines.
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Rui Caridade Project Director| SENER Lisboa, Portugal

I've been intensively using Chat GPT and Copilot to solve specific professional needs, particularly on assessing tender requirements, generating proposal's methodologies and checking for their completeness and coherency, still with just a generic LLM, fed with the tenders documentation and historical proposals. The natural evolution could be trying to develop a specific AI enterprise tool to address these needs in a more controlled and effective way, to get the most value out of the process.

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Kritzia Estrella Chesapeake, VA, United States

I have been utilizing claude.ai to generate templates, form guidance, and detailed checklist to aid in task completions.

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Rolando Hernandez Project Manager Chalco, Mexico, Mexico

I am just involving in AI tools, I see it would be very useful for helping us with a lot amount of data,

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Joyce Owusu-Muhanuka Winnipeg, MANITOBA, Canada
I use Copilot - which my organization has adopted and Chat GPT. The organization has not yet done work on fine-tuning so finding the responses here very interesting.
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Christine Wilson-White Vancouver, British Columbia, Canada

We use Claude and Copilot and the organization is encouraging all teams to look at ways to streamline processes etc

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German Ordonez Associate consultant| GOG Logistica SAS Deer Park, Tx, United States
Dec 08, 2023 2:29 AM
Replying to Hakam Madi
...
Hello Claudia,

I've been experimenting with Perplexity in my AI data, but I can't fully recommend it yet since my experiments are incomplete. However, so far, I like it.

As for charting and visualization tools, if you're building a webpage (internally or externally), I recommend using eCharts and DataWrapper. They're both free and easily accessible at the following links:

https://www.datawrapper.de/charts
https://echarts.apache.org/examples/en/index.html

If you prefer connecting your data to a data analytics solution, the best advanced-solution is Google Data Studio (Looker Studio). It's free to use and there are plenty of resources available to help you learn how to use it seamlessly.
When it comes to Generative AI, a few tools have become absolutely essential for me because they make the work faster, clearer, and way more manageable. The biggest one is AI‑assisted drafting and analysis, especially tools that help break down complex information or generate early design concepts. They save a ton of time during the planning phase.
I also rely heavily on data‑driven tools that let me feed in schedules, cost ranges, or project constraints so the AI can generate more realistic outputs. When the data is structured, the results are noticeably better — almost like having a second brain that organizes everything for you.
Another indispensable resource is prompt libraries. Having examples of good prompts helps me get more accurate results and avoid vague or generic outputs. It’s basically a shortcut to better performance.
Overall, the combination of strong data, clear prompts, and AI tools that support visualization or analysis has made a huge difference in how I work.
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