All Episodes

Episode 164

November 15, 2023

with Travis Henry and Hillary Carpio

 – Director of SDR Operations and Enablement, and Head of ABM at Snowflake

This week on The Data Stack Show, Eric and Kostas chat with Travis Henry and Hillary Carpio of Snowflake. Travis works as the Director of SDR Operations while Hillary is Head of ABM. During the episode, Travis and Hillary discuss the importance of data in their marketing and sales strategies. They delve into the types of data they use, the challenges of data overload and the importance of a strong partnership between marketing and data teams. They also share their experience of writing a book about their unique approach at Snowflake. The conversation further explores the role of sales and marketing in targeting different personas within an organization, and more.

Episode 163

November 8, 2023

with David Yaffe and Johnny Graettinger

 – Co-Founders of Estuary

This week on The Data Stack Show, Eric and Kostas chat with David Yaffe and Johnny Graettinger, Co-Founders of Estuary, a company building the next generation of real-time data integration solutions. During the episode, David and Johnny discuss streaming technology, the challenges of real-time streaming, the importance of low latency and high-scale data processing in the ad tech industry. They delve into the reasons behind building Estuary, its unique approach to decoupling storage and computing, and its focus on real-time updates and scalability. They also touch on the complexities of state management in streaming applications, data mesh, the impact of streaming on data processing and orchestration, and more.

Episode 162

November 1, 2023

with Mark Huang

 – Co-Founder and Chief Architect, Gradient

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.