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Title: Machine Learning, Explainable AI, and Data Visualization

Date: 3/19/2020

Time: 9:00 AM PDT

Duration: 60 minutes


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 today’s Data Science Central webinar, we will be discussing 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 address integrating AI machine learning capabilities into Tableau, and that will give us an opportunity to deep dive into the recent developments at Tableau regarding the topic of XAI.

Richard Tibbetts, Principal Product Manager for AI - Tableau
Konstantin Greger
, Lead Solution Engineer - Tableau

Hosted by: 
Rafael Knuth, Contributing Editor - Data Science Central

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