Do You Need to Process Data “In Motion” to Operate in Real Time?
Quick answer: No, you don’t always need data in motion to operate in real time. However, some high volume/low latency real-time systems do use data in motion …
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.
Quick answer: No, you don’t always need data in motion to operate in real time. However, some high volume/low latency real-time systems do use data in motion …
In this week's real-time analytics news: Cisco and NVIDIA will team up to deliver optimized infrastructure for demanding AI workloads.
Wearables and other sensors designed to collect data about humans are finding new applications across a number of fields.
Make your transactions more profitable, more effective, and cheaper to handle by adding real-time decisions to your mainframe
Unified Real-Time Platforms (URPs) are a new category of software designed to handle demanding applications that deal with both streaming data and data at …
AI-boosted business intelligence will simplify query generation and empower data analysts to delve deeper into data analysis by producing comprehensive reports …
Use cases that demand real-time analytics need a combination of technologies, including distributed storage, a distributed query engine, and caching, to handle …
Use of data streams is essential to meet the growing demand for real-time data analytics and customer
2024 was a big year for real-time data and AI. Here are 19 women we watched who are moving technology, business, and ethics of real-time data and AI
Real-time systems and the use of real-time technologies for automation, autonomy, and AI delivered quantifiable business benefits in 2023. Expect more of the …