AAM 2018: Big Data and Predictive Analytics
- Posted on
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
Reflecting on 10 years of experience transforming visitor attractions with data,...
Podcast
A behind the scenes look at how a government museum network is shaping a culture...
Customer Stories
lounge
Is your data really safe just because it lives in your country? In this myth-bus...
Podcast
An inside look at launching a new attraction, building a data culture from day o...
Customer Stories
lounge
Should you build your own analytics solution—or buy one off the shelf? In this...
Podcast