Learn how to use generative AI to create synthetic data through practical workflows like AI-driven tagging and automated extraction. The speaker shows how to pipe results into Airtable or spreadsheets, then clean and analyze them for structured datasets that save time on repetitive preparation tasks.
Use AI to create data. This is sometimes called synthetic data, which is data that is the result of running a, some sort of generative AI or machine learning process. It can be super helpful, like using AI for tagging can be incredibly helpful. Using AI to decide things that matter and then go pipe that over into an Airtable or into a spreadsheet or whatever can be super helpful. Go get the key ideas and pull them out and just go put them somewhere else. Because then you have a corpus of information that's useful. You could use more AI with that. You could just look at that yourself. There are all sorts of opportunities for you to be pulling this out. What AI is really doing in this case is cleaning your data to sift out those little bits that are easier for you to work with either through software or through your direct manipulation or through another AI process. Go make that synthetic data. Let AI do that work for you. It's super valuable.
