Manna Kong

Reduce observability costs with Red Hat OpenShift AI summarizer, bridging the interpretation gap for cloud-native architectures.

Learn how the Red Hat OpenShift AI observability summarizer transforms raw time-series data from Prometheus into actionable, human-readable insights for platform teams. Discover the five-layer pipeline architecture and how it reduces noise and increases signal for a focused answer.

Explore how Red Hat OpenShift AI uses LLM-generated summaries to distill product reviews into a form users can quickly process.

Explore the architecture and training behind the two-tower model of a product recommender built using Red Hat OpenShift AI.

Learn how to build AI-enabled applications for product recommendations, semantic product search, and automated product review summarization with OpenShift AI.