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

2. Discover, catalog and classify unstructured data. Traditional data catalogs excel at handling structured data but encounter difficulties with unstructured data. Machine learning (ML) tools can ...

Data transformation indeed takes time, and despite the availability of structured data, risk adjustment teams are generally accustomed to workflows built upon unstructured data in the form of PDFs.

Despite the rise of unstructured data and advancements in AI's ability to process it, structured data is poised to play an increasingly important role in the future of legal AI as it is built in ...

This step involves using OpenAI technology to process the unstructured data and convert it into structured data. Next, you’ll need to provide the model name GPT-3.5 Turbo.

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 ...

Unstructured and streaming data support: While a data warehouse is limited to structured data, a data lakehouse supports many data formats, including video, audio, text documents, PDF files ...

Allowing quality data in can lead to a better understanding of an organization. Here are 5 steps to improve your organization's data quality for unstructured data. Image: momius/Adobe Stock ...

Unstructured data — information that doesn’t follow conventional models or fit into structured database formats — represents more than 80% of all new enterprise data.

The impact and importance of unstructured data management is going to be my theme in 2025 because I believe generative AI will make this a pressing challenge. There is so much to unpack on this ...

What unstructured data means for data management The differences between structured and unstructured data mean that traditional database systems and modern AI database systems handle information ...

In a new set of papers, Booz Allen Hamilton details its Cloud Analytics Reference Architecture, blending big data and cloud computing into a solution that agencies are using to detect threats.