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 …
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
The arrival of Agentic AI is the catalyst for a much-needed transformation in enterprise integration. By embracing an event-driven model, businesses can …
AI capabilities will be a prime differentiator for chemical and energy companies in gaining an unprecedented view and understanding of relentlessly complicated …
In this week's real-time analytics news: A light week for announcements leading into the three-day weekend U.S.
In this week's real-time analytics news: Researchers have developed a new approach to train open-source models.
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
In this week's real-time analytics news: HPE and Dell Technologies bolster their offerings for AI workloads.
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 …