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Outlier Detection: The Different Types of Outliers

Time series anomaly detection is a tool that detects unusual behavior, whether it's hurtful or advantageous for the business. In either case, quick outlier detection and outlier analysis can enable you to adjust your course quickly, before you lose customers, revenue, or an opportunity. The first step is knowing what types of outliers you’re up against. Chief Data Scientist Ira Cohen, co-founder of Autonomous Business Monitoring platform Anodot, covers the three main categories of outliers and how you'll see them arise in a business context.

How to Achieve Zero-Trust Security With Service Mesh | Kong Summit 2020

Are you an enterprise architect who is currently facing the challenge to secure and observe service connectivity across every cloud and every cluster? Kong Mesh, built on top of CNCF’s Kuma and Envoy, is a universal service mesh tailored to the enterprise architect that must provide modern and secure connectivity to the applications that the teams are building.

Accelerate Application Development with the Operational Database Demo Highlight

Cloudera Operational Database is a fast, flexible, dbPaaS database that enables faster application development. It simplifies application planning as it grows in scale and importance, and is a great fit for many application types including mobile, web, gaming, ad-tech, IoT, and ML model serving.