Remove Big Data Remove Data Discovery Remove ML Engineer
article thumbnail

Search enterprise data assets using LLMs backed by knowledge graphs

Flipboard

Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries.

Metadata 149
article thumbnail

Google experts on practical paths to data-centricity in applied AI

Snorkel AI

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? Even larger, more established organizations struggle with data discovery and usage. So there are a lot of factors.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Google experts on practical paths to data-centricity in applied AI

Snorkel AI

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? Even larger, more established organizations struggle with data discovery and usage. So there are a lot of factors.

article thumbnail

Google experts on practical paths to data-centricity in applied AI

Snorkel AI

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? Even larger, more established organizations struggle with data discovery and usage. So there are a lot of factors.