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.

Implementing AI in healthcare isn’t just about choosing the right tools—it’s about making them work in the real world.

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.

However, all data is not alike. People must understand Structured Data vs Unstructured Data: Differences & Examples. Structured Data ...

The second part of this three-part series explores trends in data structuring, including what unstructured data is and how the legal industry is working to move from unstructured to structured data.

In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...

Examples of Unstructured Data: Emails: Emails contain free-form text, attachments, and metadata like sender and receiver information, making them a common example of unstructured data. Social ...

Allowing quality data in can lead to a better understanding of an organization. Read more to improve your data quality for unstructured data.

Applying gen AI to solve useful problems at scale requires a paradigm shift in how we think about data management and integration. Krishna Subramanian, COO and co-founder of Komprise, walks through ...

For example, the flow of data may be intermittent or may have limited communications capabilities, given that many mission locations are globally located. That also translates into how to keep a ...