AAM 2018: Big Data and Predictive Analytics

AAM 2018: Big Data and Predictive Analytics

Far from a futuristic concept, artificial intelligence is already active in several museums that are exploring the social and commercial benefits of predictive analytics. In this session, we review three case studies using machine learning from big data analytics: forecasting museum visitation, advance pass attrition, and exhibition scenarios.


  • Heather Hart, Director of IT, The Broad
  • Keith Laba, Chief Information and Analytics Officer, Arizona Science Museum
  • Chris Michaels, Digital Director, The National Gallery London
  • Angie Judge, Chief Executive, Dexibit

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