Booming Data Volumes and Velocities Require Vectorized Databases for Real-Time Analytics
Companies using vectorized databases can derive actionable insights from their data streams in a time frame to take immediate actions as events occur.
Delivering nearly instantaneous decisions based on rules and predictive analytics; software generates decisions within a business process and reveals insights by analyzing data flowing through processes in real time to create actionable intelligence.
Companies using vectorized databases can derive actionable insights from their data streams in a time frame to take immediate actions as events occur.
Employing Industrial DataOps can help asset-heavy organizations create digital twins, which, in turn, can help organizations move APM into new domains, …
We’re at the confluence of the use of three industry technologies – high-performance computing (HPC), simulation, and data analytics – that will change …
In this week's real-time analytics news: the NSF launched the AI Institute for Exceptional Educational, which will focus on the speech language pathology needs …
Emerging edge computing solutions enable data-driven optimization of generation, distribution, and consumption.
The future of recommender systems is real-time machine learning. Here's everything you need to know about what that means for enterprise applications.
Giving viewers personalized experiences in real-time has become a requirement for any streaming service that wants to stay on
Many streaming apps use cases help businesses first understand what is going on, and then provide the insights into what to do about
Increased use of real-time and automation technologies and innovations in 2023 can produce quantifiable benefits, cost savings, and improved customer …
In this week's real-time analytics news: A new release of Apache Cassandra emphasizes externalizing important key functions into a pluggable interface.