AI, big data and analytics: how it’s done

Professional Forum

Angie Judge, Dexibit, New Zealand, Diana Pan, The Museum of Modern Art, USA, Heather Hart, The Huntington, USA

When it comes to AI, the rest of the world might be talking about the robots taking over, but most museums are yet to tackle the data basics – the necessary foundation to make AI a reality. With hard to reach data in legacy system silos requiring blood, sweat and tears to get at, the innovative potential for AI slips away and the basis for decisions is inevitably anecdotal.

In this session, two innovative art museums will share their experiences tackling the challenges of building an integrated data landscape and introducing analytics to stakeholders, then innovating upon this capability using various AI technologies to predict and analyze visitor behavior. Diana Pan, Chief Technology Officer at The Museum of Modern Art (MoMA) in New York and Heather Hart, Director of IT at The Broad in Los Angeles together with Angie Judge, Chief Executive at Dexibit will discuss their experiences, sharing real data and offering insights on discoveries made and outcomes influenced.

The panel will cover how to attract, convert, record, track and evaluate visitors through:
– Visitor attendance using footfall hardware
– Visitor experience using location analytics
– Visitor conversion using digital correlation
– Visitor emotions using sentiment analysis
– Visitor forecasts using machine learning

Bibliography:
- Operational Excellence Innovation With Data Analytics: Three Federal Case Studies Angie Judge, Dexibit, New Zealand, Shanita Brackett, Smithsonian Institution National Museum of African American History and Culture, USA, Micha Winkler Thomas, U.S. Capitol Visitor Center, USA, James Oelke Farley, US Army Museum Enterprise, USA https://mw18.mwconf.org/proposal/operational-excellence-innovation-with-data-analytics-three-federal-case-studies/
- Big Data And Analytics: What We’ve Learned So Far Angie Judge, Dexibit, New Zealand, Robert Stein, American Alliance of Musuems, USA, Melissa Firth, Museum of New Zealand Te Papa Tongarewa, New Zealand https://mw17.mwconf.org/proposal/big-data-and-analytics-what-weve-learned-so-far/
- Seeing the Forest and the Trees: How Engagement Analytics Can Help Museums Connect to Audiences at Scale Robert Stein, American Alliance of Musuems, USA, Bruce Wyman, USD Design | MACH Consulting, USA https://mw2014.museumsandtheweb.com/paper/seeing-the-forest-and-the-trees-how-engagement-analytics-can-help-museums-connect-to-audiences-at-scale/