Summary
Artificial intelligence applications require substantial high quality data, which is provided through ETL pipelines. Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI.
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Your host is Tobias Macey and today I'm interviewing Jay Mishra about the applications for generative AI in the ETL process
Interview
Introduction
How did you get involved in the area of data management?
What are the different aspects/types of ETL that you are seeing generative AI applied to?
What kind of impact are you seeing in terms of time spent/quality of output/etc.?
What kinds of projects are most likely to benefit from the application of generative AI?
Can you describe what a typical workflow of using AI to build ETL workflows looks like?
What are some of the types of errors that you are likely to experience from the AI?
Once the pipeline is defined, what does the ongoing maintenance look like?
Is the AI required to operate within the pipeline in perpetuity?
For individuals/teams/organizations who are experimenting with AI in th