Rethinking Accuracy in Data

In this episode of The Data T podcast, Armon Petrossian and Satish Jayanthi sit down with Colin Zima, co-founder and CEO of Omni, to talk about what it takes to reinvent business intelligence. Colin shares his journey from Looker’s early days to building Omni, the lessons learned along the way, and his philosophy of ruthless pragmatism when it comes to data modeling, product development, and AI. The conversation dives deep into the evolving BI landscape, the importance of semantics in AI, and how building trust—whether with customers or stakeholders—can be the real engine of innovation. If you're into the future of data platforms, building in public, or just want to hear what happens when two modern data stack founders compare notes, this one's for you.

Main topics:

• Early startup challenges and reflections
• The evolving BI landscape
• The evolution of the Modern Data Stack
• Perspectives on data modeling
• The role of semantic layers in AI
• Hot takes in data analytics
• Collaboration as a key to success
• Building trust in data teams

Resources:

• About Omni: https://omni.co/
• About Coalesce: https://coalesce.io/about/
• Coalesce podcast archive (The Data T): https://coalesce.io/podcast/