AWS for Software Companies Podcast Ep180: Agent-Based Learning Systems - How Scale AI Transforms Enterprise Knowledge into Business Value
Dec 4, 2025
Raviteja Yelamanchili, Head of Solutions Engineering at Scale AI, discusses the evolution of Scale from data annotations to enterprise AI solutions. He reveals how real-time banking insights have replaced year-long cycles, and how healthcare systems use reinforcement learning for valuable patient transcriptions. Raviteja debunks the myth that AI will replace jobs, emphasizing enhancements in productivity instead. He highlights the importance of making enterprise data consumable and capturing tribal knowledge through agent-based learning for better decision-making.
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Healthcare Transcriptions Turned Into Value
- Scale transformed a large US healthcare system's messy patient transcriptions into structured, AI-ready data.
- They applied reinforcement-learning research to extract value and demonstrate measurable outcomes to the customer.
Start Iterating—Don’t Wait For Perfection
- Don’t wait for perfect models before starting AI initiatives; iterate and learn in production.
- Engage early so teams learn alongside vendors and realize productivity gains sooner.
Bank Credit Cycle From Yearly To Real Time
- Ravi recounts his banking experience where annual credit reporting took a year to answer executive questions.
- With LLMs the same analytics can run in real time so executives can self-serve answers and follow-ups.