AI Data Engineers - Data Engineering After AI // Vikram Chennai // #309

AI Data Engineers - Data Engineering after AI // MLOps Podcast #309 with Vikram Chennai, Founder/CEO of Ardent AI.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractA discussion of Agentic approaches to Data Engineering. Exploring the benefits and pitfalls of AI solutions and how to design product-grade AI agents, especially in data.// BioSecond Time Founder. 5 years building Deep learning models. Currently, AI Data Engineers// Related LinksWebsite: tryardent.com~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Vikram on LinkedIn: /vikram-chennai/Timestamps:[00:00] Vikram's preferred coffee[00:09] Takeaways[00:42] Please like, share, leave a review, and subscribe to our MLOps channels! You can give us up to 5 stars on Spotify and leave your reviews![01:53] Product User Categories[02:47] AI Data Engineer Role[05:40] AI Coding Limits Enterprise[09:22] Creating Feedback Loops[14:23] Breaking Down Big Tasks[19:39] Marketing Data Agent Scope[28:03] Clear Success Metrics[32:20] Creating Agent Glossary[36:43] AI Prompt Toolkits[38:54] Pricing Strategy Discussion[43:20] Compute Abstraction and Pipelines[45:23] Agent Surprises and Logs[47:12] Wrap up