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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.

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.

Join Dr Ariel Biller, AllegroAI's evangelist in a webinar discussing Hyperparamter optimizations, what are they, what options for optimizations are available and how to easily hyperparameter search.

Therefore, we’re happy to announce the release of Katalon 7.8 - with features focusing on smart troubleshooting available for download. To quickly catch up with its new features, join our upcoming webinar for the latest Katalon Studio 7.8 demo and live Q&A.

You want to migrate your existing application to serverless — and you don’t know where to start. This is a common problem that a lot of architects, CTOs and developers have, as it is very rare that we start as a greenfield project.

Cloud migration may be the biggest challenge, and the biggest opportunity, facing IT departments today - especially if you use big data and streaming data technologies, such as Cloudera, Hadoop, Spark, and Kafka. In this 55-minute webinar, Unravel Data product marketer Floyd Smith and Solutions Engineering Director Chris Santiago describe how to move workloads to AWS EMR, Databricks, and other destinations on AWS, fast and at the lowest possible cost.

Teri will demonstrate how to build a data pipeline that helps a health organization cleanse and mask their sensitive PII data, before centralizing it in a Mongo database which is optimized for handling large data volumes.