A Tutorial on Trained Systems: A New Generation of Data Management Systems?

Abstract

A new generation of data processing systems, including web search, Google’s Knowledge Graph, IBM’s DeepQA, and several different recommendation systems, combine rich databases with software driven by machine learning. The spectacular successes of these trained systems have been among the most notable in all of computing and have generated excitement in health care, finance, energy, and general business. But building them can be challenging even for computer scientists with PhD-level training. This tutorial will describe some of the recent progress on trained systems from both industrial and academic systems. It will also contain a walkthrough of examples of trained systems that are in daily use by scientists in Geoscience, PaleoBiology, and English Literature.

Papers, software, virtual machines that contain installations of our software, links to applications that are discussed in this talk, and our list of collaborators are available from our project page. We also have a YouTube channel.