I agree with Aravind. Creating a data platform ready for AI analytics forces teams to ensure the basics are in place: documentation, data quality, certification, monitoring, etc. A lot of these are overlooked in hindsight but AI doesn't answer accur...
Great question (also looking at this as we're building an internal AI agent that can do similar tasks). I think the key is to log every step of a process, including the metadata associated with those tasks themselves. If Jira tickets and/or PR links ...
I'm fine turning over development to AI agents, but I still feel like confirmation and certain actions need to lie in the hands of humans. Maybe I'm being too cautious, but I'd rather be safe than sorry in those cases.
Many different ways to go about this, but I think the key is a separate catalog per environment. If you have different workspaces for Dev/QA and Prod, then making sure the lower environments only have read access to Prod (if wanting to test against a...
