Grab bag! On the floor at HumanX
Today’s episode is a roundup of spontaneous, on-the-ground conversations from HumanX 2025, featuring guests from CodeConductor, DDN, Cloudflare, and Galileo.
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data quality
How AI can prevent clinician burnout
In today’s episode, Ryan sits down with Richard “Spencer” Schaefer, cofounder and CTO of Lunar Analytics and a federal AI officer, and Caroline Zhang, cofounder and CTO of Knowtex, which provides AI-powered voice technology to automate workflows. They talk about safeguarding patient privacy, how AI changes doctor-patient interactions and healthcare delivery, the challenges inherent in rolling out AI technology, and the importance of quality data to fuel AI initiatives. Also included: a chat with Jeff Berkowitz, cofounder and CEO of Delve Deep Learning.
How do you fact-check an AI?
Ryan chats with Amr Awadallah, founder and CEO of GenAI platform Vectara about how retrieval-augmented generation (RAG) has advanced, why fact-checking and accurate data are essential in building AI applications, and how Vectara’s Mockingbird model seeks to minimize hallucinations.
An AI future free of slop
Stack Overflow CEO Prashanth Chandrasekar sat down with Ryan at HumanX 2025 to talk about how Stack is integrating AI into its public platform, the enormous importance of a high-quality knowledge base in your AI journey, how AI tools are empowering junior developers to build better software, and much more.
Solving the data doom loop
Ken Stott, Field CTO of API platform Hasura, tells Ryan about the data doom loop: the concept that organizations are spending lots of money on data systems without seeing improvements in data quality or efficiency.
The developer skill you might be neglecting
Ben and Ryan talk with Geoffrey (Jef) Huck, a software developer turned public speaking coach, about the importance of soft skills in the tech industry—in particular, speaking and communication skills. Their conversation touches on how Huck’s experiences with anxiety shaped his efforts to become a better communicator, practical techniques for dispelling anxiety and connecting with the audience, and the MVP approach to public speaking.
Robots building robots in a robotic factory
Ryan talks with Sterling Chin, a senior developer advocate at Postman, about the intersection of APIs and AI. They cover the emergence of AI APIs, the importance of quality APIs for AI integrations, and the evolving role of GraphQL in this new landscape. Sterling explains how some organizations are shifting toward an API-first development approach and talks about the future of data access in the agentic era, where APIs will play a crucial role in AI interactions.
“Data is the key”: Twilio’s Head of R&D on the need for good data
In this episode, Ben and Ryan sit down with Inbal Shani, Chief Product Officer and Head of R&D at Twilio. They talk about how Twilio is incorporating AI into its offerings, the enormous importance of data quality in achieving high-quality responses from AI, the challenges of integrating cutting-edge AI technology into legacy systems, and how companies are turning to AI to improve developer productivity and customer engagement.
How to train your dream machine
Ben and Ryan talk with Vikram Chatterji, founder and CEO of Galileo, a company focused on building and evaluating generative AI apps. They discuss the challenges of benchmarking and evaluating GenAI models, the importance of data quality in AI systems, and the trade-offs between using pre-trained models and fine-tuning models with custom data.
AI is only as good as the data: Q&A with Satish Jayanthi of Coalesce
AI systems obey the golden rule: garbage in, garbage out, Want good results, feed it good data.
Monitoring data quality with Bigeye (Ep. 469)
Bigeye cofounders Kyle Kirwan (CEO) and Egor Gryaznov (CTO) join the home team to discuss their data observability platform, what it’s like to go from coworkers to cofounders, and the surprising value of boring technology.
