Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

For decades, organizations have approached data architecture with a monolithic mindset—centralized platforms, complex codebases and rigid structures. While these systems were built with the noble goal ...

There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...

Krishnam Narsepalle argues traditional credit systems must evolve into event-driven architectures for real-time risk ...

In a recent Views & Comments column published in Engineering, researchers Jinghai Li and Li Guo from the Chinese Academy of Sciences offer profound insights into the future development of data science ...

For years, companies have been moving their most valuable customer data into countless different systems used by marketing, ...