Navigating New Finance Threats Demands Holistic Real-time Approach
Emerging threats, coupled with the increasing complexity of financial systems, demand a radical shift in detecting fraud. What’s needed is a holistic, …
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Emerging threats, coupled with the increasing complexity of financial systems, demand a radical shift in detecting fraud. What’s needed is a holistic, …
Many supply chain organizations aim to make their operations smarter by investing in generative AI, data analytics, automation, digital twins, machine …
The key to using AI technologies in public transit is onboard internet connectivity, which facilitates real-time data transfer and enables seamless …
In this week's real-time analytics news: The Apache Software Foundation (ASF) announced Apache Cassandra 5.0, which introduces new features and improvements …
Many of the top IoT use cases are delivering strong ROI for the organizations that are deploying them. As such, 51% of respondents to a recent industry survey …
As IoT technology increases, the potential for IoT analytics in industrial operations will only grow, offering even more opportunities for innovation and …
IoT connectivity and analytics are moving beyond data collection to data orchestration. Learn how real-time insights, edge analytics, and integrated data …
As data continues to play an increasingly central role in business operations and decision-making, the importance of efficient, flexible, and scalable data …
Modern tech stacks require a new approach to observability that enables continuous monitoring and optimization of performance metrics. This approach …
In an era where fraudsters are increasingly adept at exploiting vulnerabilities in real time, traditional fraud detection methods are no longer sufficient. …