In recent years, the spotlight has been on unstructured data -- text, graphics, documents, IoT streams -- all streams of data that hold tremendous, untapped value. The database industry underwent a ...

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data. Unlike ...

5 Questions is a periodic feature produced by Cornerstone Research, which asks our professionals, senior advisors, or affiliated experts to answer five questions. We interview Mike DeCesaris, vice ...

In today’s data-rich landscape, harnessing the untapped potential of unstructured data has become a pressing concern for enterprises thanks to the latent value it holds — and with 90% of data within ...

When leaders think about data, structured data—such as payment amounts, invoice processing dates and customer names—likely crosses their minds first. Because structured data is objective, it’s ...

Subramanian says that unstructured data can come in various file types, from documents to images to videos to specific formats within these application-generated data, such as genomics data, IoT data, ...

Leveraging AI for Legal Processes without Compromising Confidential Client Information In an era where compliance requirements and AI advancements shape the legal landscape, our session delves into ...

Weav.ai, a startup that develops generative artificial intelligence “copilots” that help users navigate unstructured data, today is emerging from stealth mode and launching a series of tools aimed at ...

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Data science isn’t new, but the demand for quality data has exploded recently. This isn’t a fad or a rebranding, it’s an evolution. Decisions that govern everything from successful presidential ...

Driven by the SEC’s busy agenda and economic headwinds such as bank failures, 2023 is proving to be another turbulent year. The new Tailored Shareholder Report rule, Form PF changes, changes to the ...