Unlike structured data, which fits neatly into rows and columns in a database, unstructured data is usually in its raw form, often comprising text, images, audio, or video.

Enterprises across every industry are increasingly recognizing the power of machine learning. It can turn any organization’s data into valuable insights—insights that have the potential to ...

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 ...

Bringing together your customer data, both structured and unstructured, into a unified 360-degree view ensures customers have access to the most relevant information for any enterprise scenario. Many ...

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses. The ...

Data security and governance for AI are top concerns, as found in my company’s 2024 State of Unstructured Data Management and other industry surveys. You need the ability to restrict certain ...

AI chatbots have risen in popularity because they make it easy to find what you are looking for using a simple, conversational text prompt. Snowflake is now bringing that capability to company data ...

Historically, data classification has focused on structured data — databases, ERP systems and CRM tools — because those environments are more manageable in size and scope. But the future lies ...

SAN FRANCISCO, May 28, 2025--Monte Carlo, the leading data + AI observability platform, today announced the launch of unstructured data monitoring, a new capability that enables organizations to ...

Anomalo uses machine learning to replace traditional rules-based systems and automatically detect and alert teams about data quality issues across both structured and unstructured data.