Data Quality Starts At The Source

Summary In this episode Ragnor Comerford talks about OmniGraph, a lakehouse-native graph storage layer designed around the needs of agentic systems. He explores how graphs are primarily a semantic model for representing the world, rather than just a specialized engine for travers ...  Show more

Summary In this episode Prukalpa Sankar, co-founder of Atlan, talks about what it takes to build a “context flywheel” for AI agents in data-intensive organizations. She explained why model intelligence alone isn’t enough to make AI useful in production, and how real performance d ...  Show more

Data contracts are redefining data quality and governance, and Chad Sanderson, CEO of Gable.ai, joins host Jon Krohn to explain how they can transform your data strategy. He breaks down what data contracts are, how they shift data quality checks closer to production, and why they ...  Show more

Hundreds of thousands of customers build data lakes everyday and these data lakes can quickly become data swamps if they dont pay attention to the data quality. Setting up data quality can be a time-consuming, tedious process. Shiv Narayanan, Product Manager for AWS Glue chats wi ...  Show more

Whether you prefer the term data-driven, or data-informed, or data-dazzled, it doesn't matter—today's tech cannot survive without high quality data sets AND the tools to use them effectively. But we also can't afford to think about data as the responsibility of ...

As organizations implement AI in decision making and how work gets done, trustworthy data is essential to adding value every step of the way. Inadequate data governance or unclear AI ambitions leaves enterprises at risk of falling behind. In this keynote address from Gartner Data ...  Show more