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They discuss governance approaches like deploying models inside approved platforms and routing calls through monitored gateways, and how broken pipelines from complex feature-engineering motivated Kumo.ai’s approach of using a single foundation model with on-the-fly database queries.
Kumo.ai allows you to train and run state-of-the-art AI models on your relational data, allowing you to make predictions about your users and transactions in seconds.
Connect with Hema on LinkedIn or reach out to her at her email hema@kumo.ai.
Congrats to user BalusC for winning a Populist badge on their answer to How to sanitize HTML code to prevent XSS attacks in Java or JSP?.
TRANSCRIPT
[Intro Music]
Ryan Donovan: Wavemaker Fuses design and development with an architecture-first, agentic app generation system for design-led enterprise dev teams that want deterministic outcomes from AI. Predictable costs, open standards, pixel-to-pixel matched full-stack applications deployable at scale. Visit Wavemaker AI or email demo@wavemaker.ai.
Ryan Donovan: Hello, and welcome to the Stack Overflow Podcast, a place to talk all things software and technology. I’m your host, Ryan Donovan, and today we’re talking about all the messy stuff that comes when you try to implement AI in a company that’s trying to make money. Pipeline sprawl, shadow AI, all the best stuff that keeps
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