AI Agents are Here, and They Highlight a Major Weakness in Enterprise Integration
The arrival of Agentic AI is the catalyst for a much-needed transformation in enterprise integration. By embracing an event-driven model, businesses can …
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.
The arrival of Agentic AI is the catalyst for a much-needed transformation in enterprise integration. By embracing an event-driven model, businesses can …
Shifting to edge AI and analytics in industrial operations reduces latency, improves responsiveness, and lowers the cost of backhauling data to centralized …
By processing data locally, organizations can filter and act on the most important insights immediately, while sending only relevant or aggregated data …
Orchestrating a robotic intervention, flagging an anomaly, or executing a stop command on the production line requires a real-time, intelligent
Use of AI agents is transitioning from systems that learn from decisions to systems that learn to improve the decision environment
Modern manufacturing requires more than traditional management strategies, specifically it needs manufacturing data analytics (MDA). However, a recent study …
In 2025, predictive analytics is being widely applied across industries to anticipate events, optimize operations, and personalize experiences in real time.
In this week's real-time analytics news: AWS announced the open source release of Spark History Server MCP, an MCP server that enables AI assistants to access …
In this week’s real-time analytics news: MCP continues to gain momentum with multiple vendor announcements for support of the protocol.
As energy systems become more decentralized, automated, and data-driven, real-time visual intelligence is poised to play a more critical role in supporting …