Maarten Vandeperre

Explore the basics of quantum computing, its implications for real-world software development, and how it connects to Red Hat technologies like OpenShift.

Explore how platform engineering, OpenShift, and Developer Hub create a governed, repeatable, and scalable foundation for enterprise AI.

Go beyond performance and accuracy. This guide for technical practitioners details how to implement trust, transparency, and safety into your AI workflows.

Learn how to secure, observe, and control AI models at scale without code changes to simplify zero-trust deployments by using service mesh.

Discover why Kafka is the foundation behind modular, scalable, and controllable AI automation.

In this video, Maarten demonstrates a neural network and how it works in AI/ML models. Neural networks are a class of ML models inspired by the human brain, made up of interconnected units of neurons, or nodes. Neural networks are the foundation of many AI applications, including image recognition, speech processing, and natural language understanding.

This article demystifies AI/ML models by explaining how they transform raw data into actionable business insights.

In this learning exercise, we’ll build on a freshly installed Red Hat Developer