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Finding the Right Recipe for Complex Event Recognition

Current approaches to complex event recognition have various tradeoffs. In this white paper, the benefits and limits of various CER approaches are discussed.

With AI, It’s a Complex Future for Cybersecurity

The future of cybersecurity will be defined by new threats emerging from AI and machine learning and evolving cloud vulnerabilities. As such, organizations will need to focus on Zero Trust and supply chain security to remain agile, proactive, and resilient.

Achieving Manufacturing Excellence with Image Recognition Models for Surface Defect Detection

Leveraging image recognition models for surface defect detection heralds a new era in quality control in manufacturing.

Observability, Infrastructure Complexity, and Shifting Left

Observability helps organizations manage the increasing complexity of technology infrastructures and shift left to deal with the tech talent shortage.

InfinyOn Provides the Needed Link to Enable Real-time Event Streaming Applications

InfinyOn has architected a platform for data in motion that uses SmartModules to enable enterprises to program their data pipelines for real-time services.

How to Apply Machine Learning to Event Processing

How do you combine historical Big Data with machine learning for real-time analytics? An approach is outlined with different software vendors, business use cases, and best practices.

Processing Camera-Sensed Events: Improving Accuracy in Video Monitoring through Complex Event Processing

The camera is the primary technology we use to observe our environment and record real-life events. Whether for recreation, information, business, academic or security purposes, people are increasing their use of cameras – and the information the cameras provide – at a rapid pace. Processing this data is inefficient and time-consuming due to its volume and volatility. Therefore, new […]