The Biggest Examples of Machine Learning – Part 3

Smart machines and applications are steadily becoming a daily phenomenon, helping us make faster, more accurate decisions. The role of AI and machine learning is set to increase dramatically over the next five years, with more than 75 percent of businesses investing in Big Data. Organizations are spending almost 15 percent of their IT budget on machine learning capabilities. Let us take a look at some of the biggest applications of Machine Learning currently live in the market.

Uber

Machine learning is a fundamental part of the Uber model, which includes the newly launched food service UberEATS, using algorithms to determine arrival times, pick-up locations, and UberEATS’ delivery estimations. The ETA in Uber is predicted using machine learning by analysing data from millions of previous trips and applying it to your specific situation, and same goes for UberEATS as well.

Lyst

Lyst is an e-commerce fashion site that has recently started working with the machine learning model.It uses meta-data tags to make visual comparisons between items of clothing to match customer searches with relevant recommendations. Their algorithms read these tags and decide on the best matches.

Spotify

The recommendations for songs that you get on Spotify is machine learning at work, which basically figures out your likes and dislikes and provides you with a list of related tracks. Spotify rounds up 30 tracks it thinks you should listen to in its Discover Weekly promotion and delivers them in one easy-to-navigate playlist. These songs are all ‘hand-picked’ by machine learning algorithms, which analyze user activity and match your tastes to music with similar meta-tags.