So, where's the A.I.?

Product

Challenge

A.I. Solution

Product

Challenge
#### How to get people's opinions on a large number of responses in a short period of time

A.I. Solution
###### Dynamic sampling based on a Monte Carlo like convergence algorithm

Product

Challenge
#### How to compute how popular each response is based on voting data

A.I. Solution
###### Use Bayesian inference on the binary choice data to infer the apriori distribution of opinion for each response which maximizes the likelihood of the votes observed

Product

Challenge
#### How to identify and visualize clusters of similar opinion within extremely high dimensional data

A.I. Solution
###### Use spectral clustering on opinion vectors to identify clusters and use dimensionality reduction to map the high-dimensional opinion vector to three dimension, which can be visualized

Product

Challenge
#### How to know which responses are similar to each other

A.I. Solution
###### Use language embedding to map each response to a vector and then compute semantic similarity between two responses by the cosine similarity between their embedding vectors

Click here to stay up to date on all of our A.I. developments >

Sent!
We will be in contact as soon as possible.