Countering Real-Time Frauds and Scams with Modern Streaming Engine Technology
In an era where fraudsters are increasingly adept at exploiting vulnerabilities in real time, traditional fraud detection methods are no longer sufficient. …
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
In an era where fraudsters are increasingly adept at exploiting vulnerabilities in real time, traditional fraud detection methods are no longer sufficient. …
In this week's real-time analytics news: AI agents and multiple collaborations to tackle the demands of
Modernizing the technology used in supply chain processes leads to significant improvements in visibility, efficiency, and compliance, ultimately fostering …
Financial services and healthcare organizations are leading the way with the adoption of AI. And many companies across all industries are building real-time …
By leveraging the insights gained from data analysis and the capabilities of emerging technologies, the auto industry can usher in an era where accidents are …
Many modern applications must push processing and analysis closer to where data is generated, bypassing traditional centralized models that are often hampered …
Confluent's Current conference highlighted the critical role of data streaming in addressing the real-time data needs of AI.
Today, decisions need to be made in milliseconds and need to be made as soon as an event has occurred. Increasingly, there is a need for real-time analytics of …
A talk with KX CEO Ashok Reddy about the need for a single platform that includes processing, analyzing, building models, and visualizing to enable low-latency …
In this week's real-time analytics news: Deloitte, working with NVIDIA and Oracle, announced the launch of AI Factory as a