Akilesh grew up watching his dad, an oncologist, slog over tedious documentation tasks. Inspired by his father and their shared vision of a Jarvis-like assistant for doctors, he dove into the intersection of healthcare and AI.
During the conversation, they discuss:
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[00:00] Up next: [00:56] Episode introduction
[02:04] Autoblocks: AI Optimization Platform
[02:29] Akilesh’s introduction
[05:42] How LLMs Revolutionized NLP Development
[08:57] How does DeepScribe work?
[13:32] How DeepScribe responded to the ChatGPT moment
[20:18] How to choose the right LLM evaluation technique
[22:01] Building the ultimate AI product team
[24:32] DeepScribe's approach to evaluating at scale
[27:40] Challenges of building with non-deterministic systems
[29:01] DeepScribe's go-to-market strategy
[32:25] The future of DeepScribe and ambient AI
[36:40] Regulatory considerations for health tech companies
[38:48] DeepScribe's product roadmap
[40:42] DeepScribe's feedback loop
[42:29] Opportunities in health tech
[44:14] Akilesh's hottest AI take
[49:23] Open source vs. foundation models
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Brought to you by Autoblocks (https://www.autoblocks.ai/) — how product teams deliver better AI experiences.
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Building with AI is a weekly podcast featuring conversations with top AI product builders and leaders. Through thoughtful dialogue, host Hamza Choudery Choudery (Co-founder of Autoblocks) uncovers tactical insights that help listeners build & scale world-class AI products.
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Where to find Akilesh Bapu
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