Hello!
I haven’t found any articles about best practices for a new company that wants to ensure from day one their infrastructure is set up to allow them to leverage and train the business data from interactions with their platforms.
Even if on the onset we will start building these tools.
Should we throw all the raw data into a vector DB? Is it as simple as that?
There are a lot of transformations of the data about to start happening as we start building tools from feedback.
Our beta starts soon so we want to just make sure to set up something before we start having massive data inflow.
We have a medical simulation for training using a mixture of tools, and advanced medical framework, and some AI APIs. One day one there is hard coded insights that are results of testing data and industry knowledge. Our Founder is a practicing physician so the core insights are fairly straight forward.
We all know that in a year , talking to data is the what will be the norm. Just trying to find a decent starting point.