Machine Learning, Explainable AI, and Tableau

The promise of artificial intelligence is that machines will help humans make better decisions. But we need to understand what machines are doing, to avoid mistakes and to understand our data. As organizations become more reliant on AI and machine learning models, how can humans be sure they are receiving trustworthy answers to the right questions? In this session, we will be talking about some general trends in AI before digging into what's been happening in explainable AI research, what are some of the readily available tools, and what’s coming next. We will also talk about integrating AI machine learning capabilities into Tableau, and that will give us an opportunity to deep dive into the recent developments in Tableau regarding the topic of XAI. Session Speakers: Richard Tibbetts and Konstantin Greger