Boost AI Fairness and Explainability with Amazon SageMaker Clarify

From hiring decisions to loan approvals and even healthcare recommendations, machine learning (ML) impacts our lives daily. Fairness and explainability are crucial in this context. Fairness means data is balanced, and model predictions are fair across groups. Checking for fairness ensures that negative outcomes are fair across all groups, such as age or gender. Explainability […]

Creating Custom Hadoop Events in EventBridge on AWS

Introduction: Event driven architecture as defined by Amazon is a system whose architecture uses events to trigger and communicate between decoupled services and is common in modern applications built with microservices. An event is a change in state or an update. Event-driven architectures have three key components: event producers, event routers, and event consumers. A […]