Andrew Ng called AI "the new electricity." Just as electricity changed forever how we solved the engineering problems of the day, artificial intelligence/machine learning stands poised to reshape how we think of modern software engineering.
The Solving Software Engineering Problems with Machine Learning track looks at the interesting use cases and applications of machine learning in what we have thought of traditional software development. We'll uncover real-world experiences of software engineers working with data scientists to build products that leverage machine learning into their platforms.
Topics we're pursuing include how machine learning is changing our development environments, how we can better make sense of large volumes of notifications/alerts, how the commoditization of machine learning tooling is making it more approachable for the "rest of us," and how machine learning can be used to optimize environments as diverse as the Kubernetes to entire data centers.