There are three classifications of data: structured, semi-structured and unstructured. While structured data was the type used most often in organizations historically, AI and machine learning ...

We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.

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.

- Understand telecom data (structured and unstructured/big) - Identify opportunities derived from both network and user data - Recognize the role and importance of Deep Packet Inspection (DPI) ...

Structured, unstructured, semi-structured. Unstructured data, broadly speaking, is data and information that does not conform to a predefined data model – in other words, information that is ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

In my last post, I offered a taxonomy of “big data.” I limited the discussion to externally gathered, customer-oriented data, which I then divided into two categories: structured and unstructured.

Commentary - Big data, unstructured data, semi-structured data. Data is all over the technology news, and for good reason. It is overwhelming most organizations; requiring new ways to operate to ...