Those who seamlessly manage both structured and unstructured data set themselves up to bridge the gap between raw data and insights that meaningfully drive the business forward. The era of 400 ...

Snowflake is adding generative AI-powered SQL functions to help data analysts and their organizations analyze unstructured data with SQL. These new AISQL functions will be part of Snowflake’s ...

The social media example is one way to look at this issue. Social media is unstructured data – we know that – and we’re used to seeing all of these stories about ourselves floating around on ...

For example, when processing thousands of pages of medical records for a personal injury claim, ... powered by LLMs that can bridge the gap between unstructured information and structured data.

Today at AWS re:invent 2024 the company announced a series of new services and updates designed to help make it easier for enterprises to get both structured and unstructured data into RAG pipelines.

Example use case: identifying top chip providers for LLM training, resulting in structured JSON data. Agent workflow involves initializing LLM, binding tools, and refining results through tool ...

The vendor’s Cortex Agents can parse requests, analyze unstructured and structured data, ask for clarification and determine next steps within a given application, according to Snowflake.

EMC Corp.'s Greenplum subsidiary today announced a new capability to its Hadoop Data Computing Appliance (DCA) that allows users to mix and match unstructured and structured data analytics ...