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

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Hazelcast is updating its namesake real-time data processing platform to ...

Acromag has released a series of FPGA modules based on AMD Zynq UltraScale+™ MPSoC devices for embedded I/O processing and logic functions in industrial and real-time systems. These modules combine a ...

The cost of allowing data's value to decay, even briefly, is real. Revenue opportunities are missed, marketing spend is ...

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I’ve ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Healthcare data streams continue to increase exponentially thanks to the ...

This content has been created by the Finextra editorial team with inputs from subject matter experts at the funding sponsor. Real-time payments processing has revolutionised the banking landscape in ...