Machine Learning in an Agile World: Keeping Models Fresh with Continuous Intelligence
Increasingly, machine learning is finding its way into production systems. More and more people are learning data science, and AI tools and frameworks are getting better every day. Nevertheless, researching, implementing, deploying, and maintaining a machine learning application is still a challenge, and many struggle to develop AI systems with the same pace, flexibility, and agility that they develop deterministic software and service. In this talk, we'll explore Continuous Intelligence—a set of working principles to keep machine learning models up-to-date and maintainable, including why it is critically important that they are so.