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

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

We use data specialists to clean our data. They look for data that is not normalized and look for ways with ETL tools to normalize it in the target database. They look for poor practices of using data fields that are meant for another use, and find ways to strip the data out, mapping it to the correct columns in the target database. Legacy databases are often full of data inconsistencies and issues resulting from poor design. It is important to eke those out if you are pulling data into databases to be used by your AI tool.

Microsoft has a good suite of tools for data visualization. We find PowerBI to be very useful, although we do use other tools that come with SAAs products such as Cognos and Crystal reports.

Microsoft Copilot is a good tool, but we have not yet explored is full capabilities. I have used ChatGPT and PI.ai for personal use.

This is a little off topic, but check out the Pi.ai's P4 feature, which converses with like real person. It is branded as the "First emotionally intelligent AI". The first prompt "Hey there, great to meet you. I'm PI, your personal AI. My goal is the be useful, friendly and fun. Ask me for advice, for answers, or let's talk about whatever's on your mind. How's your day going?" is spoken if you choose P4 in the drop down list (click the speaker).