Modernizing legacy data systems is no longer optional—it's the key to unlocking AI’s full potential with real-time insights, ...

This article is this edition's winner of the ASU Writing Competition. The competition is open quarterly to current ASU ...

Patients with chronic diseases may have files that include dozens of clinical records that providers may not have time to ...

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Stringing together multiple API requests across systems brings agentic workflows within reach. While CIOs underscore the ...

Vaishnavi Visweswaraiah has built a strong and impactful career in the technology sector, boasting over 10 years of experience in roles including Software Engineer, Machine Learning Engineer, AI/ML ...

Companies redefine how unstructured data is governed, integrated and activated for agentic AI, signaling a new era of scalable, trusted AI platforms.

Discover best practices that allow data pipelines to scale and support both structured and unstructured data.

That became clearer in February when the company launched agentic capabilities for users to query combinations of structured and unstructured data using enhanced versions of its Cortex platform.

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI.

Anomalo, the company reinventing enterprise data quality, is adding a major innovation, Workflows, to its second product Unstructured Data Monitoring, introducing a hub for managing and monitoring ...

An unstructured data management system first scans files across storage and then identifies files that are no longer active.