Moving Beyond Data Collection to Data Orchestration
IoT connectivity and analytics are moving beyond data collection to data orchestration. Learn how real-time insights, edge analytics, and integrated data …
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
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. …
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.