Provenance, or art’s history of ownership, is a growing area of discussion for museums across the world. As the Philadelphia Museum of Art so eloquently describes, “the provenance of an individual work of art sheds light on its historical, social, and economic context as well as its critical fortunes through time.”
The Center for the Future of Museums, the forecasting operation of American Alliance of Museums, has released their TrendsWatch for 2017. Every year, we look forward to this curated list of the most influential global movements. This annual list explores current social and technological trends and examines how they might play out for museums, while sharing examples of museums already embracing or addressing the topics.
In my last post, we examined the topics of artificial intelligence and machine learning in museums. Today, I’d like to continue this thread and focus on machine vision. It couldn’t be more timely, as Google recently announced their public beta of Cloud Vision API and it has us all dreaming of interesting ways that machine vision can be used to help museums.
Artificial Intelligence. It’s a concept that holds lots of promise, generates endless buzz, and is starting to make its way into everyday life. “In 2015, artificial intelligence went mainstream,” and undoubtedly, in 2016, we will begin to see an increase in experimentation within the cultural space.