The AI systems solving real problems aren't the ones with the most parameters but the ones with the best scaffolding.

Recently, discussions surrounding the practical implementation of AI projects have sparked widespread attention. This article focuses on the real-world challenges of AI applications in enterprises and ...

Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without ...

Developing AI applications is much different than the traditional app dev lifecycle. Machine learning models and step replication are two main areas data scientists and engineers need to be aware of ...

In a graph database, every element contains a direct pointer to its adjacent element and no index lookups are necessary. Before looking into a graph database provider, make sure your intended use ...

ACORD, the global standards-setting body for the insurance sector, has released a new model aimed at enhancing the standardisation and exchange of data across the industry's enterprise systems. The ...

Document databases offer a wonderfully flexible data model that often leads to scaling and performance issues. Here’s how Aerospike overcomes these challenges.

A multimodel database provides a single back end that supports multiple data models. It’s all about being able to choose the best data model for the job with a single storage substrate.

A federated data model enables you to fully integrate critical service and infrastructure management applications and break down the traditional functional silos that often exist within an IT ...