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 continuous 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. Steps toward a mature MLOps process will be discussed to help participants begin improving their MLOps process.
Jeffery Payne is CEO and founder of Coveros, Inc., a company that helps organizations accelerate the delivery of secure, reliable software 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 management, software quality, and software research. Jeffery is also the technical editor of the AgileConnection community (www.agileconnection.com)