With AI at the data level, you can use that model to do a lot of the work, and then apply vector search on top of that.

In the simplest terms, a logical data model is a visual representation of the business rules and requirements covering the universe-of-discourse for a given solution or enterprise, along with some ...

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

On the morning of August 21, Dameng Data's Vice General Manager, Fu Xin, delivered a keynote speech titled "Intelligent Multi ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

In composing a data model, the structures are put together thoughtfully and with intention. Data structures emerge from the application of semantics germane to the universe-of-discourse and filtered ...

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

A data modeling software helps craft a high-performance database, generate reports that can be useful for stakeholders and create data definition (a.k.a. data description) language (DDL). Good ...

The vast amounts of data processed by these databases raise significant concerns about how this information is protected and whether the database complies with regulatory requirements.

This approach features a centralized database linked to other data stores with a common data model that carries information from one point to another, without the need to rewrite code.