Karthi Thyagarajan

The volume and complexity of the visual clues that build an understanding of the world keep increasing. In this session, learn how to build computer vision applications that automate visual analysis with Amazon Rekognition—without any previous machine learning experience needed.

Latency and throughput are key considerations in stream processing workloads. In this session, you learn tips for optimizing throughput and latency in stream processing architectures.

We will explore an end to end example that combines batch and streaming aspects in one uniform Beam pipeline, and deploy it to a fully managed environment with Amazon Kinesis Data Analytics.