Anomaly detection in the cloud: how to detect issues in data and images without any ML experience

How can a development team implement smart functionalities without any machine learning experience?

In this practical session, we explore how to identify defects and outliers (anomalies) in images and business datasets.

We’ll look at why it’s important to identify anomalies quickly by using managed services in the AWS cloud such as Amazon Lookout for Vision and Lookout for Metrics.

Alex Casalboni

Alex Casalboni

Alex is deeply passionate about web technologies and music. He has been building web products and helping other builders learn from his experience since 2011. His coding love spreads across the Python and the JavaScript communities, and he’s been contributing to open-source projects such as AWS Lambda Power Tuning. As a Developer Advocate, Alex often speaks at technical conferences across the world, supports developer communities and helps them build applications in the cloud. He is particularly interested in serverless architectures, machine learning, and data analytics.