Artificial Intelligence for Talent Discovery
Casting for models, actors, promos, and commercials, has been the same since the system was first formed in the 1960’s in NYC.
The problem for the industry is a super artificially small talent pool which drives up prices for no name talent (unknown actors in commercials can make in excess of $250k for one day’s work), causes Hollywood’s diversity problem, and has no way to measure online influence of talent (which has become the most important factor in modern casting).
The problem for talent is although 48% of millennials list fame as their number one life goal (Pew Research), all but 5,000 have any real chance of being seen by reputable casting directors. Imagine how many people would rather make a couple extras bucks being in a commercial than driving strangers around in their car.
Our AI is learning each potential talent’s “type” and then using tensorflow to pair their characteristics to available roles. Their responses to recommendations teach our ML to better identify types.