Edge Of AI Podcast · The Edge Of Company, Inc

Navigating The Data Universe: A Conversation With Brad Schneider, CEO Of Nomad Data

·52 min·3 clips

Data is already tens, if not over $100 billion, and discovery is still the bottleneck.

1. Edge Of AI Podcast features Brad Schneider and Nomad Data as the episode’s central topic. 2. Brad Schneider is the founder and CEO of Nomad Data, and Ron Levy is the host asking the questions. 3. The episode asks how Nomad Data makes data discoverable and usable inside organizations. 4. Brad says data is becoming the “fuel of business” as uncertainty increases and companies need better ways to find it. 5. He rejects the “Yellow Pages model” for data because a multi-terabyte dataset cannot be reduced to a one-paragraph description. 6. Nomad instead uses natural language processing so a user can ask for something like “wine sales volumes in the US going back five years.” 7. The platform works with a network of almost 2,500 data-selling companies around the globe. 8. Brad says the system also tracks what happens after a purchase so teams can get more out of the data. 9. He explains that LLMs work well here because textual data is the largest category of data and much of it is unstructured. 10. Brad says his perspective comes from years as a public market investor at Tiger Management and Jericho Capital, plus running Adaptive Management. 11. He says the core breakthrough was realizing that buyers did not know whether the needed data existed, and that showing them a matching dataset changed their behavior immediately. 12. He describes early work with GPT and word-vectorization techniques before moving to GPT-4 this year. 13. Brad calls the product a translation layer because business problems and data descriptions use different language. 14. He says a huge company can now load its internal and external datasets and let employees ask questions like “Do we have any information on roof ages in California?” 15. The system can answer who owns the data, who worked with it last, and how to get access. 16. Brad says the platform keeps learning from every search because user language and vendor responses create a feedback loop. 17. The interview style is direct and product-focused, with Ron Levy repeatedly pausing to translate the screen-share for audio listeners. 18. The pace is practical and explanatory, mixing product demo language with broader AI and business commentary. 19. People building data products or evaluating AI tools for companies will get the most value. 20. Viewers wanting abstract AI theory without product detail may skip it.

As heard by us

A practical look at using AI to make data vendor discovery faster and more structured.

The episode tracks Brad Schneider of Nomad Data through a plainspoken look at how a messy data search can be turned into a repeatable workflow.

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Why you'd press play

Use AI to narrow a data vendor search before you spend hours chasing dead ends.

Read the full recommendation in PlayNext →

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