Qloo Uses Data Science to Assess People's Cultural Preferences
References: developer.qloo & techcrunch
Culture has long been considered the one area where artificial intelligence simply wouldn't be able to access, but Qloo is a new software system that's attempting to do just that. Though people's cultural preferences tend to be highly idiosyncratic and ostensibly unpredictable, Qloo uses data science to understand people's taste for a wide array of cultural products.
Qloo's AI isn't just a gimmick for giving people an analysis of their personal tastes. Rather, the software uses publicly available, open source data to analyze and understand broad patterns in consumer tastes. It can analyze cultural industries like music, television, film, dining, nightlife, fashion, books, travel, digital media, sports, and even other people.
Qloo currently has some high profile celebrity investors including Sir Elton John and Leonardo DiCaprio. It isn't clear whether these investors represent conflicts of interest, though it would be pretty tough to sway non-human artificial intelligence.
Qloo's AI isn't just a gimmick for giving people an analysis of their personal tastes. Rather, the software uses publicly available, open source data to analyze and understand broad patterns in consumer tastes. It can analyze cultural industries like music, television, film, dining, nightlife, fashion, books, travel, digital media, sports, and even other people.
Qloo currently has some high profile celebrity investors including Sir Elton John and Leonardo DiCaprio. It isn't clear whether these investors represent conflicts of interest, though it would be pretty tough to sway non-human artificial intelligence.
Trend Themes
1. Taste-analysis AI - Opportunity for developing AI technology that analyzes and understands people's cultural preferences.
2. Data Science in Cultural Industries - Opportunity for leveraging data science to uncover patterns in consumer tastes across various cultural industries.
3. Personalization in Cultural Recommendations - Opportunity for creating personalized recommendations and experiences in cultural products based on AI analysis of individual preferences.
Industry Implications
1. Music and Entertainment - Opportunity for music and entertainment industries to utilize taste-analysis AI to tailor content recommendations to individual users.
2. Fashion and Lifestyle - Opportunity for fashion and lifestyle industries to leverage data science to gain insights into consumer preferences and deliver personalized experiences.
3. Travel and Hospitality - Opportunity for travel and hospitality industries to use data-driven AI to understand customer preferences and provide tailored recommendations and experiences.
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