Want to learn more?
Webinar #1 focuses on one pillar of AWS technologies for Data Science:
Amazon Sagemaker. Join this webinar to learn how you use Sagemaker to build a custom sales forecasting engine leveraging parallel computing capabilities to facilitate optimal time and resource efficiency.GET IN TOUCH
Webinar #2 focuses on how to build solution in a matter of days with
Amazon Lambda. This session reviews options and techniques to optimize your data analytics platform without managing a server, and it focuses on the deployment of machine learning algorithms on a distributed fashion leveraging Lambda Container Images and Lambda’s integration with EFS.
Webinar #3 focuses on fundamentals to get insights from texts with
Amazon Comprehend. In this webinar you will learn how to categorize inbound customer support documents, like support tickets or product reviews based on their content and context.
Webinar #4 focuses on one pillar of AWS technologies for managing big data at scale:
Amazon EMR. During the session, you will learn how it can be used by analysts, data engineers, and data scientists to collaborate and interactively explore, process, and visualize data.
Webinar #5 focuses on how to get a tangible return with computer vision using
Amazon Rekognition. During the webinar we will show how we’ve used Rekognition to classify digital assets for compliance reasons, by automatically cropping images and labelling them based on their class.
Webinar #6 focuses on how to get started on
Amazon Braket, the fully managed service for
Quantum computing. During the webinar we will explain the key benefits of Amazon Braket and how you can build quantum algorithms, test them on quantum circuit simulators, and run them on different quantum hardware technologies.