How to get MLOps right with Continuous Delivery for Machine Learning and AWS
Randy DeFauw, Principal Solutions Architect at AWS & Eric Nagler, Lead Data Engineer at Thoughtworks
About this talk
87% of the Data science projects don't make it to production as published by VentureBeat. With the amount of time, resources, and infrastructure being spent on machine learning to get the projects into production, organizations are more invested than ever to get their MLOps right.
In this webinar, Randy DeFauw from Amazon Web Services and Eric Nagler from Thoughtworks will talk about how MLOps and CD4ML combine the creative process of data scientists with software engineering methods. In addition, our experts will use customer examples to show you how you can put ML products into practice safely, quickly and sustainably. They will also unpack techniques and practices to help ensure AI is not just capable of delivering a return on investment but also contributes to the organization’s strategy and innovation portfolio.
We are a leading global technology consultancy that integrates strategy, design and software engineering to enable enterprises and technology disruptors across the globe to thrive as modern digital businesses.
When technology is the way to differentiate and complexity stands in your way, we help you build the capabilities needed for your digital evolution.…