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 ...

Eli is Associate Editor for EdTech Magazine Higher Education. When not in the office, Eli is busy scanning the web for the latest podcasts or stepping into the boxing ring for a few rounds.

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources—such at ...

Traditional cloud computing faces various challenges when processing large amounts of data in real time. 'Edge' computing is a promising alternative and can benefit from devices known as physical ...

In industries relying on up-to-the-minute insights, interruptions disrupt crucial processes, hindering timely responses to market changes and the accuracy of analytical outcomes. This can lead to ...

Real-time data processing is hot. Pioneers like Netflix have been doing it for years and reaping the benefits. Big on Data has been onto this for years, too. Now the rest of the world seems to be ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more What makes Netflix, Netflix? Creating ...

Industry 4.0 is not just about automation. It’s about smart systems that sense, adapt, predict and act in real time. One example is inventory control, which was once a centralized back-office function ...

The value of edge AI within various industries. How edge AI utilizes machine learning. Which hardware works best with edge AI workloads. From smart-home assistants (think Alexa, Google and Siri) to ...