The Revenue AI Imperative: Connecting Data, Context, and Guided Selling in Real Time
For enterprise revenue AI to work, it needs more than data. It needs context. Without it, accuracy breaks, decisions stall, and trust disappears. Here’s how …
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.
For enterprise revenue AI to work, it needs more than data. It needs context. Without it, accuracy breaks, decisions stall, and trust disappears. Here’s how …
Companies moving to AI-powered predictive analytics are reporting measurable gains and leading firms are documenting robust
In this week's real-time analytics news: Siemens and Snowflake announced a collaboration to connect OT and IT data.
The ability to observe, monitor, and if necessary, intervene in AI-driven processes in real time has become the most pronounced challenge for enterprises of …
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 …