Real-Time Decisions at the Edge: Adaptive Edge Intelligence Use Cases Across Industries
Discover how adaptive edge intelligence drives real-time fraud detection, network optimization, predictive maintenance, and anomaly detection across
Topic: Analytics
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Real-time Analytics News for the Week Ending September 13
In this week's real-time analytics news: MLCommons announced new results for its industry-standard MLPerf Inference v5.1 benchmark
Real-time Analytics News for the Week Ending September 6
In this week's real-time analytics news: Siemens and Snowflake announced a collaboration to connect OT and IT data.
Are We Ready for the Real-time Demands of AI? Survey Says No
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 …
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 …
In The Face of Tariffs and Trade Wars, Optimize Your Business With AI
AI capabilities will be a prime differentiator for chemical and energy companies in gaining an unprecedented view and understanding of relentlessly complicated …
Real-time Analytics News for the Week Ending August 30
In this week's real-time analytics news: A light week for announcements leading into the three-day weekend U.S.
Real-time Analytics News for the Week Ending August 23
In this week's real-time analytics news: Researchers have developed a new approach to train open-source models.
Applications Abound for Industrial Edge AI
Shifting to edge AI and analytics in industrial operations reduces latency, improves responsiveness, and lowers the cost of backhauling data to centralized …
Why Intelligence at the Edge is No Longer Optional
By processing data locally, organizations can filter and act on the most important insights immediately, while sending only relevant or aggregated data …