The Biggest Examples of Machine Learning – Part 2

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.

Gmail

Google has a knack for machine learning and artificial intelligence. They introduced a smart reply function to Gmail to help users tackle their inbox in 2015 and 10 percent of mobile users’ emails were sent using this tool the following year. Based on two recurrent neural networks, one used to encode incoming mail and the other used to predict possible responses, the smart reply function works simultaneously to understand the meaning behind the incoming message and to automatically suggest three different responses.

PayPal

PayPal uses machine learning algorithms to detect and combat fraud. PayPal can analyze vast quantities of customer data by implementing deep learning techniques and evaluate risk in a far more efficient manner. PayPal is able to draw upon financial, machine, and network information with machine learning and neural networks to provide a deeper understanding of a customer’s activity and motives.

Netflix

More than 80 percent of TV shows on Netflix are found through its recommendation engine, and the herculean task has been possible only due to the efficiency of machine learning. The two things that feed the neural network are user behaviour and programme content. Netflix has valued the ROI of these algorithms at £1 billion a year due to its impact on customer retention.

We have more such examples of how machine learning has quietly found its way in our daily lives. Keep watching this space for more.