Pattern Match, Poland
Software and Operations Engineer working with systems that process billions of requests per day. He is a certified AWS expert with more than 5 years of experience in designing and implementing big scale systems across many different industries including Ad Tech, Instant Messaging and IoT. He is functional programming enthusiast, Pozspecialising in BEAM platform – Elixir & Erlang languages.
Amazon SageMaker in Practice
At re:Invent in 2017 Amazon announced new service – SageMaker, that allows you to build, train and deploy ML models at any scale. Sounds fantastic, but is it true?
We challenged the marketing taglines and decided to test a specific use case which is familiar to us: ad targeting.
During the workshop, which is an adventure itself, we build an approximation of an ad targeting system with the use of Amazon SageMaker – from development to deployment. We show how with use of such service you can start small and be pretty confident about scaling up and expanding the system later.
We start from the ground up, so no worries – there is no need for previous experience with advertising systems and neither AWS, although general knowledge about machine learning or data crunching is a plus. If you were curious after the last year’s re Invent announcement, that is a workshop for you!
Date: October 11, 2018