Podcasts

Real Time ML Pipelines Using Quix with Tomáš Neubauer

Tomáš Neubauer will talk about Quix Streams, an open-source Python library that simplifies real-time machine learning pipelines. Tomáš will discuss various architecture designs, their pros and cons, and demonstrate a real use case of detecting a cyclist crash using Quix Streams and a TensorFlow model.

Sid Anand on Building Agari’s Cloud-Native Data Pipelines with AWS Kinesis and Serverless

Wesley Reisz talks to Sid Anand, a data architect at cybersecurity company Agari, about building cloud-native data pipelines. The focus of their discussion is around a solution Agari uses that is built from Amazon Kinesis Streams, serverless functions, and auto scaling groups.