#real-time-data

#real-time-data

AI agents are steadily becoming embedded in enterprise workflows: automating customer interactions, coordinating operations, and reasoning across complex datasets. However, if you take a closer look beneath the surface, many organizations are struggling with the technical challenge of supporting them in real time. Legacy data architectures aren't built for this. To make agents performant, scalable, and accountable, IT leaders are turning to something familiar, but more flexible: NoSQL.

It was pretty clear that the trend was going to the cloud so there was no reason to really take that middle step and be on-premise," Vona explained.

Aeroscale has combined sophisticated gear and proprietary software to measure rolling resistance and aerodynamic drag with high precision, achieving accuracy of 0.5 watts on a velodrome.

MCP enables AI models to access external APIs through standardized tool calls, enhancing their capabilities with real-time data and integrating functionalities.

Real-time financial data access allows institutions to make quicker, better decisions for cash management, fraud prevention, and general efficiency.

Real-time financial data access allows institutions to make quicker, better decisions for cash management, fraud prevention, and general efficiency.

InfluxDB 3 revolutionizes real-time data analysis with its embedded Python Processing Engine, allowing developers to execute Python code directly next to the data.

The Kong Event Gateway allows developers and customers to access real-time data from Kafka without needing to configure Kafka clients, expanding API functionality.

Visual Crossing’s radar integration improves app precision, allowing real-time storm tracking for enhanced user safety and efficient routing in severe weather.