When Tech Evolves but People Don’t
Key Takeaways
The MLOps.community podcast discusses AI integration with Vikram Chennai, focusing on working with existing workflows and pipelines rather than forcing changes, using tools like custom pipeline services with AI.
Full Transcript
Changing the way you do things is like the worst thing you can ask someone to do in my opinion. If you say, "Hey, switch your database." They're going to look at you like, "Are you crazy?" Like for for your AI is great, but not we're not switching our database for that. Like, please leave. Uh so, we've very much found that yeah, working the way people do is like that's that's how you do it. That's how you do it, right? And you're essentially allowing them, you know, even if you try to improve it a little bit, you're saying, "Well, you're doing this and you could do it better in maybe this slight way, but it's not like a we're going to come in and tell you what to do and actually you have to, you know, rip out your pipeline service and use our custom pipeline tool that we've built with AI in it." Like, no, just use your stuff. This thing will drop in. They'll solve your problems.
Original Description
Working with the grain.
“Changing the way you do things is like the worst thing you can ask someone to do.”
That’s the philosophy Vikram Chennai brings to AI integration. On this MLOps Podcast episode, he breaks down why the best tools don’t force you to switch databases or rip out pipelines—they work with your existing systems.
It's not about disruption for disruption's sake. It’s about building AI that fits into real workflows, respects existing infrastructure, and quietly solves problems in-place.
Vikram Chennai on AI Data Engineers – Data Engineering After AI
MLOps Podcast #309
https://home.mlops.community/home/videos/ai-data-engineers-data-engineering-after-ai
#MLOps #AIIntegration #RespectTheWorkflow #DataEngineering #AISimplicity
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