This week on The Data Stack Show, Eric chats with Mark Huang, Co-Founder and Chief Architect at Gradient, a platform that helps companies build custom AI applications by making it easy to fine tune foundational models and deploy them into production. During the episode, Mark discusses the role of Gradient in simplifying the usage and adoption of LLMs by packaging open-source models into a service. Mark highlights the importance of collaboration and data sharing among enterprises for model development, the impact of LLMs on enterprises, the challenges of operationalizing LLMs, the future of AI and its potential, and more.

This week on The Data Stack Show, Eric and Kostas chat with Chang She, the CEO and Co-Founder of Eto Labs. During the episode, Chang discusses LanceDB, the history and success of Pandas, as well as the challenges of working with new technologies in the data industry. Chang shares his journey and the challenges faced in open sourcing Pandas, the need for new data infrastructure optimized for AI and ML, the future of AI and other data avenues, and more. 

This week on The Data Stack Show, Eric and Kostas chat with Santona Tuli, Head of Data at Upsolver, a data pipeline tool that focuses on application developers. During the episode, Santona discusses her background in nuclear physics. The conversation covers topics such as specialized tools in data infrastructure, the challenges of working with data in different environments, and the importance of data as a business differentiator. They also discuss the features and capabilities of UpSolver and the need for quality and observability in data processing, and more.