Project Management

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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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Anonymous
Dec 11, 2023 6:00 PM
Replying to Vladislav Gomzyakov
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Not all of these are free and not all I've used extensively but I consider these some of the most useful ones I have checked out:

https://axiom.ai - no code browser automation.

https://infogram.com - quick builder for presentations, infographics, reports, etc.

https://notegpt.io - summarizer for all kinds of content including Yutube, Udemy, Coursera for quicker learning.

https://tryshift.com - browser that allows to unify several different applications in one shell to boost productivity.
Thanks for sharing
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Jennifer Salley West Columbia, Sc, United States
New to AI and have been trying out GPTs
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A N M Al Imran AQUITY Global Brossard, QUEBEC, Canada
From my perspective, ChatGPT is one of the most powerful and versatile generative AI tools for project management. It offers exceptional flexibility in processing both structured and unstructured data, making it invaluable for informed decision-making. As project managers, adopting this tool is essential to boost productivity, improve efficiency, and enhance the accuracy of our work.
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Marc Kane Associate Director | Digital Core - Oracle| Accenture Los Angeles, CA, United States
1. Prompt engineering platforms

OpenAI ChatGPT (Pro): Versatile for strategy, coding, writing, and analysis. Custom GPTs extend capabilities for domain-specific use.



Anthropic Claude: Known for handling long contexts and structured reasoning tasks well.



Perplexity AI: Combines retrieval-augmented generation (RAG) with web search; good for real-time, citation-backed results.



Google Gemini Advanced: Strong on summarization, search, and research if you’re deep in the Google ecosystem.



2. Code generation and automation

GitHub Copilot: Pairs with VS Code and other IDEs; excellent for auto-generating code, comments, and unit tests.



Replit AI / Codeium: Useful for rapid prototyping or when working across languages and platforms.



LangChain / LlamaIndex: Indispensable for building custom AI apps and agents that rely on chaining logic or connecting to data.



3. Data and visualization tools

Pandas AI / DataPilot: Combines Gen AI with tabular data; great for quick exploratory data analysis.



ChatGPT Code Interpreter (Advanced Data Analysis) – Ideal for statistical summaries, visualizations, file parsing, and modeling.



Power BI with Copilot / Tableau GPT: Converts natural language into dashboards and reports.



4. Document & knowledge management

ChatGPT + file upload: Lets you interrogate, summarize, or transform documents (PDF, CSV, Word) with context.



Notion AI / Coda AI / Mem: For organizing notes, generating content, and automating workflows within productivity tools.



AskYourPDF / PDFGPT.io: Focused tools for querying dense technical documents.



5. Learning and benchmarking

Papers with Code: For keeping up with the latest LLM benchmarks and reproducible models.



Prompt Engineering Guide by DAIR.AI / FlowGPT: Community-driven libraries of reusable, optimized prompts.



AI newsletters (i.e., The Rundown AI, Latent Space, Ben’s Bites): Critical for staying current on capabilities and use cases.



6. Custom deployment & APIs

OpenAI API / Azure OpenAI / AWS Bedrock: To integrate Gen AI into products and enterprise workflows.



Vector databases (Pinecone, Weaviate, Chroma): Power retrieval-augmented generation (RAG) and context injection from enterprise data.

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Sanjay Galgali Pennington, Nj, United States
we have just implemented a internal AI tool on our organization and that is using CLAUDE as the LLM but very soon it will be expanded to use other LLM's. As far as other AI tools are concerned, we are all experimenting with the same for different use cases and it is too early to tell what is a good tool to use or not.

Excited to move for ward in the AI journey. !!!
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Johan Mera CEO| Inngenia SAS Cali, Valle Del Cauca, Colombia
I'm already using ChatGPT, Gemini, and Grok, I’ve covered a solid trio for general-purpose Gen AI. Each has its strengths.
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Anonymous
Spreadsheets and well-organized text, such as outlines.
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Juan Mendez CTO| Blue Green Investments Bogota, Colombia
I think all the Microsoft Ecosystem is pretty appropiate to start and use AI. Copilot is a great tool from the OS until Source code
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Cesar Deza Velarde Gerente| Metropolis Holding SAC LIMA, Peru
Dec 12, 2023 11:07 AM
Replying to Nathifa Franklin
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I have used https://claude.ai/ similar to Chat GPT however I think that you get more detailed output from Claude and you can upload documents in their free version.
Yo uso muy frecuentemente Copilot y he probado Gemini, debido a que hace un año con ChatGPT obtuve información extraña e incluso podria decir que fue generada de manera erronea, cuando hice una consulta sobre las mejores Charlas TED por pais y la respuesta fue sobre Charlas que en algunos casos nunca se dieron, esntiendo que no es como el buscador de GOOGLE que se basa en todo lo que se ha publicado en la red.
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Forrest Adams Thomson Reuters Katy, TX, United States
I am leading a project within the program I manage to drive adoption of the GenAI chatbot that was created for consultants in the program in 2024. This bot answers questions that consultants have related to their jobs. I use GenAI as a thought partner to help me drive this project forward strategically in alignment with larger business objectives.
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