Three Approaches to Running your AI/ML Workload in the Cloud

Are you spending too much time on the details of setting up your AI/ML workloads?

Having access to cloud resources through Cloud4Research does not answer the question on how to efficiently use these resources.  In this session, you will learn about the relevant services for AI/ML workloads, and how to apply them in your research.

AWS Solution Architect Benedetto Carollo will provide an introduction on how to use AWS native services to run ML/AI workloads. He will cover some of the different steps of the ML workflow – from data ingestion, to model preparation to model deployment – using a practical example from the medical imaging world (classifying X-Rays to identify pneumonia). He will introduce and explain the different AWS services that are used and position them within the AWS services stack. In his demo, he will demonstrate three different approaches, ranging from unmanaged to fully managed. At the end of the session, participants will have a basic insight into how to run an ML/AI project in AWS, as well as a first understanding on how the principles shared could apply to their specific use cases.

The doors will open at 9 o’clock; the session will start at 9.30. This event will be held in English.

Bio
Benedetto Carollo is the Senior Solution Architect for medical imaging and healthcare at Amazon Web Services in Europe, Middle East, and Africa. His work focuses on helping medical imaging and healthcare customers solve business problems by leveraging technology such as AI/ML. Benedetto has over 15 years of experience of technology and medical imaging and has worked for companies like Canon Medical Research and Vital Images. Benedetto received his summa cum laude MSc in Software Engineering from the University of Palermo – Italy.

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