Lifecycle of Enterprise Grade AI Projects

Moving AI from a local laptop demo to a massive production system is a completely different beast. In this episode, we sit down with Pravarshi Reddy, Senior Data Scientist, to unpack the entire end-to-end lifecycle of enterprise-grade AI projects. What we cover: Beyond the Code: Why building the model is only 10% of the actual work. Production Reality: Solving the massive hurdles of data pipelines, scaling, and cost tracking. The Playbook: How top engineering teams deploy, monitor, and update models without breaking things. If you want to know how big tech actually builds and ships machine learning or ai at scale, you don't want to miss this deep dive. Your feedback will help us improve. Drop them. Socials - Shresth - https://uselessai.in Sudhanshu - https://www.youtube.com/redirect?even... Reddy -   / pravarshi-reddy-rachamallu-6a81952a  

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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

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Sundar Pichai on A.I. Backlash, the Future of Work and Google’s Next Era

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Ex-Google Exec: How to Position Yourself Now Before the Next AI Phase (2026–2027) | Mo Gawdat

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Career Paths in 2026: Is the 'Product Analyst' the New PM?

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Cloud Computing Explained: The Most Important Concepts To Know