As you explore how to create new opportunities with AI, it’s crucial to first take a close look at your data architecture.

The success of real-time digital systems comes from optimizing processing for the most important tasks rather than speeding up overall execution.

2022 NOV 24 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- A patent application by the inventors Barday, Kabir A. (Atlanta, GA, US); Brannon, Jonathan Blake (Smyrna, GA, US ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

Did you know that 90% of the world’s data has been created in the last two years alone? With such an overwhelming influx of information, businesses are constantly seeking efficient ways to manage and ...

Real-time data processing is the handling of data as it arrives, so it is available for use almost as immediately as it is created and collected. This term is most often used in the context of a ...

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems. Working with big data can be ...