Data Discovery From Dashboards To Databases W...

Summary In this episode Yetunde Dada discusses Otto, Astronomer’s AI agent for Airflow, and the broader challenge of making agentic tooling actually useful for data engineers. She explored why generic coding assistants often fall short in data workflows, how Otto adds the missing ...  Show more

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

Automating the collection of dispersed, divergent and disjointed pools of enterprise data on to a single repository to drive analytics and build applications remains complex. In this edition of Bloomberg Intelligence’s Tech Disruptors podcast, Fivetran cofounder and COO Taylor Br ...  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 ...

<span style="font-weight: 400;">Every business likes to claim that it is "data-driven" or at least "data-informed," but too often, that's not the way things actually work. Data is relegated to an IT function, siloed and, in some cases, boils down to simply producing more repor ...

In today's data-driven landscape, organizations often find themselves drowning in a sea of data, yet struggling to glean actionable insights from it. Many companies are eager to label themselves as data-centric, but the reality is that not everyone is equally adept at int ...