What we're really doing is designating our data as structured or unstructured. Let's start with structured data, which is really data that is organized in a structure so that it is identifiable.

The differences between structured and unstructured data mean that traditional database systems and modern AI database systems handle information in different ways.

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

As unstructured data is used in more business decisions and ops, ML-based quality controls help ensure your data is accurate and useful.

4C Group offers information management solutions that make use of machine learning methods to extract knowledge from unstructured data.

The needs are dynamic in the field and in a global scenario. Use case: Intelligence agency improves manpower management for mission readiness One big advantage of using structured and unstructured ...

AWS looks to make RAG easier and automatic with new enterprise AI tools that help organizations with structured data retrieval, GraphRAG and unstructured data support.

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

Salesforce Inc. today announced major updates to its Data Cloud, part of the company’s Einstein 1 Platform, which will allow companies to ingest unstructured data such as PDFs, emails, audio and ...

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 ...