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.
Hi Vladislav, Thank you for sharing those. I have not tried but signed up after seeing your share, and seems to be very useful for me,. Saving Changes...
Hello. I have been using common AI tools, such as ChatGPT and Gemini, mainly to help me with tailored CVs and cover letters. I am facing the challenge of reviewing and adjusting the outputs because they often include hallucinations or are too general. Therefore, I am learning that developing knowledge in best practices (prompt engineering) to produce quality outputs is a challenge that requires focused effort. Saving Changes...
We use copilot which in today's scenario does many things.
1. It captures the meeting minutes
2. It can also give you the action items
3. If you have zoom installed and you conduct zoom meetings it integrates well with it
Apart form this we need to have org level model which can access the network and bring in the needed intelligence. Saving Changes...
When working with Generative AI, I’ve found a combination of data preparation tools, model fine-tuning platforms, and visualisation resources indispensable for enhancing capabilities.
1. Tools for Generative AI and Data Management
OpenAI GPT / Azure OpenAI Service for text generation and summarisation.
Data cleaning: Tools like Pandas (Python) and help ensure structured, high-quality input data—critical for reliable outputs.
2. Charting and Visualisation
Power BI for interactive dashboards.
Matplotlib and Plotly for custom visualisations in Python.
These tools make it easier to represent AI-driven insights in a way stakeholders can understand and act upon.
3. Key Practices
Data governance: Establishing clear rules for anonymisation and validation before feeding data into AI models.
Human-in-the-loop: Always validating AI outputs to avoid bias or inaccuracies. Saving Changes...
Anonymous
I use Chat GPT copilot perplexity Saving Changes...
For me, the best tool win was to learn pandas and seaborn, the data sourcing, cleaning and visualisation becomes an enjoyable ride and saves a lot of time.
Microsoft Copilot is the basis of our implementation strategy.
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Terrence SuttleStrategic IT Leader, Agile Advocate and complex project manager.| Fuzion I.T. SolutionsIl, United States
Currently I use CoPilot for many of the GenAi things that I do. It is integrated in all of Microsoft products. For personal use I have worked with Chat GPT, Google Bart and a few others.
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Hilda SotoFounder & CEO| Peaceful AI Solutions, LLCSan Diego, Ca, United States
I have been using mainstream AI tools (e.g. Chatgpt, Gemini, Claude, Co-pilot, NotebookLM, Gamma, Gumloop, n8n, Supabase, Lovable) for a variety of tasks. However, I have not had the need to do data cleaning yet so no recommendations for that. Saving Changes...
PMI Team Member
