Lessons Learned From The Pipeline Data Engine...

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 ...  Afficher plus

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 ...  Afficher plus

Over the past 5 years, I’ve taught 1000’s about data analytics.

What have I learned as a teacher?

Where have I seen the most success?

What’s the biggest secret to people who succeed?

In this episode, I’ll share it all :)

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Join Avery Smith and Jordan Temple in this episode of the Data Career Podcast.

Jordan shares his insights on breaking into the data industry with a non-technical background, leveraging skills in Power BI and the power of a solid online presence.

Tune in now to ga ...

In this episode, Avery & Rho discuss challenges faced while applying for a data career job and how to overcome them.

In the episode, Rho shares critical insights into the importance of effectively presenting your skills, the significance of your resume, networking, ...

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. Data is at the heart of AI. It should be no surprise then that proper data management is crucial for AI projects. This podcast is an excerpt from our Cognilyt ...  Afficher plus