This is how modern AI databases work with the types of unstructured data mentioned above. Instead of looking for exact matches, these databases look for results that are similar or “close enough.” ...

Businesses have always relied on data, but they never were able to get full value out of them when they were siloed by ...

SAN FRANCISCO, May 20, 2025--Glean:GO -- Work AI leader Glean today announced a strategic collaboration with Snowflake, the AI Data Cloud company, to simplify and accelerate structured data ...

Tarsal, the pioneering force behind advanced security data movement, is proud to announce a major enhancement to its groundbreaking open-source project, kflow. This extended Berkeley Packet Filter ...

It involves translating natural language queries into complex SQL queries to filter, join tables and aggregate data.The challenges are further compounded for unstructured data, where by definition ...

Get structured with your unstructured data. Early adopters who use big data for business insights are already looking ahead to the next thing it enables – cognitive computing.

Since it is not in a structured universal tabular format, unstructured data is much more flexible. However, the majority of data is unstructured, and it exists across an enterprise since it can be ...

Unstructured Data Monitoring lets enterprises extract insights and identify issues from the vast volumes of unstructured data stored in their data warehouses, data lake, and cloud storage locations.

However, 80% of data is trapped in unstructured file types, leaving a wealth of data unutilized by the systems that thrive on it. This is further compounded by the fact that data pipelines often ...

According to McKinsey, businesses have always relied on structured data to drive operations and decision-making, like SKUs, transactions, financial records, and product specifications. Yet, this ...