How Kafka and Edge Processing Enable Real-Time Decisions
By pairing Kafka with adaptive edge processing, organizations achieve the best of both worlds: instantaneous local decisions and enterprise-wide
Topic: Edge Computing
How edge computing and edge analytics use real-time data for a variety of applications, including IoT.
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
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 …
Real-Time Visual AI at the Edge: Performance Without Compromise
Orchestrating a robotic intervention, flagging an anomaly, or executing a stop command on the production line requires a real-time, intelligent
Working at the Edge: Realizing the Full Value of Distributed Intelligence and Its Role in Modern Data Strategy
The edge has become an active layer of enterprise execution, where decisions are made, value is created, and real work gets done. As organizations continue to …
U.S. Edge Computing Market Set to Reach $43.59 Billion by 2029
The edge computing market is set to boom over the next few years. Find out what’s driving its exponential
In-Cabin Sensing has Automakers Looking Inward
In 2025, in-cabin sensing is the underlying foundation needed for legal compliance, semi-autonomous driving, safety ratings, and the premium user experience …
Defense-Grade AI Scores a Strike: Transforming Bowling and Beyond with Edge Computing
The transformation of bowling through edge AI reveals its potential to reshape far more than sports. The ability to enable remote, verified competition with …
Escaping the Data Storage Trap in Real-time Visual Intelligence
The evolution of digital intelligence is steering away from traditional, centralized data storage traps, ushering in a new era of edge AI-driven real-time …