Parl AI aims to serve two main purposes for chatbot developers: Eventually, Facebook could incorporate learnings from Parl AI into M, its virtual assistant, and more broadly, within the Messenger Platform for bot developers.
M was recently added to user interactions on Messenger, suggesting actions like adding an event to a calendar, or ordering an Uber, based on the user’s conversation with friends.
In regards to the number of bots men and women use, while the vast majority of users have only used one bot, about 14% of men and 10.6% of women use more than one bot.
We examined images sent in to Facebook bots to see if there are any differences between men and women.
We ran the images through Amazon’s Rekognition API for image detection, which detects labels and a confidence level.
Below are the top labels detected with confidence levels over 90%.
Its three newly acquired companies — Sales Predict, Expert Maker, and Corrigon — are likely playing a large role in the company's approach to this revamp.
Image recognition technologies, coupled with machine learning, can offer insight into what consumers are drawn to first, what they search for, and what they ultimately end up buying based on those searches.
While bot men and women send selfies to bots, women tend to skew a bit more to sending selfies.
The labels Person, Human, People, and Portrait are all detected in selfies.
We expect to see e Bay use that data to simplify the purchase journey and return search results that are more likely to result in a sale.