MLOps: Testing and Deploying Machine Learning and AI Models
With the emergence of deep learning integrated into today's software products, a modern software development process needs an effective way to automatically test and deploy machine learning models as part of product delivery. In this presentation, Coveros CEO Jeffery Payne introduces deep learning AI models and how to effectively test and deploy them as part of product development. Approaches to testing models will be discussed as well as how to automate your deployment process when machine learning is part of your product.
Jeffery Payne
Jeffery Payne is CEO and founder of Coveros, Inc., a company that helps organizations accelerate software delivery using agile methods. Prior to founding Coveros, he was the co-founder of application security company Cigital, where he served as CEO for 16 years.
Jeffery is a recognized software expert and popular keynote speaker at both business and technology conferences on a variety of software quality, security, DevOps, and agile topics. He has testified in front of congress on issues such as digital rights mgmt., software quality, and software research.
Jeffery is the technical editor of the AgileConnection community (www.agileconnection.com).