Ubiquitous Artificial Intelligence and Dynamic Data Streams

Abstract

Artificial Intelligence is leading to ubiquitous sources of Big Data arriving at high-velocity and in real-time. To effectively deal with it, we need to be able to adapt to changes in the distribution of the data being produced, and we need to do it using a minimum amount of time and memory. In this paper, we detail modern applications falling into this context, and discuss some state-of-the-art methodologies in mining data streams in real-time, and the open source tools that are available to do machine learning/data mining in real-time for this challenging setting.