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.
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data quality
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.
