Navigating the Power and Risks of Data Streams
Use of data streams is essential to meet the growing demand for real-time data analytics and customer
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.
Use of data streams is essential to meet the growing demand for real-time data analytics and customer
2024 is going to be a big year for real-time data and AI. Here are 19 women to watch who are moving the technology, business, and ethics
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 …
With medical fraud on the rise, it’s critical that all sectors of healthcare have a Know Your Patient (KYP) process in place that properly screens and …
Effective fraud detection necessitates understanding the meaning of streaming data in context, in real-time, and at
Kafka Streams is pivotal to Kafka's evolution, enabling it to adapt to scalability and performance demands.
The integration of IoT devices and their real-time data into transportation services offers unprecedented visibility and control over the supply
Here, we've collected the forward-looking thoughts of some of the leaders in the real-time analytics space participating in Current
In 2024, businesses will have an array of powerful streaming analytics solutions to choose from, each with its own unique features and capabilities.
In this week's real-time analytics news: MLCommons released its latest machine learning benchmark testing results.