Continuous Intelligence - Keeping Your AI Application in Production
Explore the challenges and solutions for maintaining AI applications in production through Continuous Intelligence practices. Learn how to adapt Continuous Delivery principles from software engineering to the data science world, enabling faster release cycles and more efficient maintenance of machine learning models. Discover the differences between data scientist and software engineer workflows, and how to bridge these gaps. Dive into the concept of Continuous Intelligence, including build pipelines, delivery pipelines, and technology stacks. Examine a practical demo of a Continuous Intelligence workflow, covering aspects such as model packaging, data versioning, evaluation stages, and continuous monitoring. Gain insights on bringing data scientists and developers closer together, handling supervised learning scenarios, and implementing effective testing strategies for AI applications.