Joshua Arvin Lat is the Chief Technology Officer (CTO) of NuWorks Interactive Labs, Inc. He previously served as the CTO of 3 Australian-owned companies. He also served as the Director for Software Development and Engineering for multiple e-commerce startups in the past which allowed him to be more effective as a leader. Years ago, he and his team won 1st place in a global cybersecurity competition with their published research paper. He is also an AWS Machine Learning Hero, and he has been sharing his knowledge at several international conferences to discuss practical strategies on machine learning, engineering, security, and management. He is also the author of the books "Machine Learning with Amazon SageMaker Cookbook" and "Machine Learning Engineering on AWS"


Pragmatic Machine Learning Model Deployment and Monitoring Strategies

Performing machine learning experiments requires skill, patience, and experience. Once the machine learning models need to be deployed to production, data scientists, developers, and engineers work together to build ML systems and pipelines that allow different types of resources to use this model for inference. In this session, we will focus on a variety of practical model deployment strategies along with several model monitoring solutions needed to ensure the quality of the model and the data used in a production environment.