The new "agentic defense" system is intended to help organizations manage the mountains of data that are being collected in ...

Unstructured data is complicated compared to working with structured data - Finding the insight buried within unstructured data is challenging. It requires a high level of technical and analytics ...

The open lakehouse integrates with Vertex AI, Google Cloud's fully managed, unified AI development platform, to fuel Google's AI platform. Governed, cataloged data provides trusted input for training ...

Managing unstructured data is a daunting task. ... Tackling Unstructured and Semi-Structured Data 3 minute read. By Marisa Peacock. March 2, 2009. Enterprise CMS. Share. Share. Copy link. Email.

The distinction between structured and unstructured data is important because automated reasoning, one of the pillars of Web 40.0, requires both kinds of data analytics.

Indeed, many believe the Holy Grail of Big Data is to wisely combine unstructured data with structured information, such as customer survey responses, operational metrics and financial information.

Structured and unstructured data create similar challenges. Put aside the emergence of generative AI for the moment. The foundational challenges of data management that cut across both structured ...

Whether you are dealing with structured or unstructured data, there are four key questions you need to answer at the onset of any case to help you devise an appropriate e-discovery strategy: ...