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.

Speakers:

  • 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

Want to learn more about Dexibit?

Talk to one of our team to hear more about bringing big data analytics to your visitor attraction

Featured Resources

Discover industry leading resources for visitor attractions professionals

Setting up a data function in your visitor attraction? Join Baku Hosoe, Head of ...
Podcast
Data audits don't have to be hard or expensive. With our workbook - bring your s...
Kit
Nancy Proctor weaves together two unique stories: her career intersecting entrep...
Podcast
Data audits don't have to be hard or expensive. With our workbook - bring your s...
Workbook
Data and Insights
Elliot Ferguson, President and CEO of Destination DC shares his unique insights ...
Podcast