Accelerating Deployment of Machine Learning Models

Speaker: Phil Mazenett, Senior Solutions Engineer, OctoML

The 2021 Enterprise Trends in Machine Learning survey revealed that the cost of deploying ML to production is skyrocketing and that the time to deploy has increased year over year. This session is for organizations looking to evolve their ML deployment workflows and processes to accelerate time to production. Attendees will learn about new model performance optimization techniques and open source technologies. As well, they will get guidance on how to benchmark performance of optimized models across a variety of hardware options. Attendees will also take away strategies for automating manual steps in their deployment pipeline. And finally this workshop will cover actionable insight on how these approaches can be implemented to work with your existing AI/ML implementations on AWS.