Relase Innovation from within your Organization with Machine Learning on AWS

Machine Learning (ML) uses statistical algorithms that learn from existing data to make predictions about new data. For example, an algorithm can be trained to identify if a dog is in a picture by learning what a dog is through analysis of a large set of images of dogs. Once trained, it will be able to recognize a dog in any new images it encounters. These predictions can happen in batch or in real-time, such as a self-driving car understanding the world around itself while in motion.

One possible application of a machine learning model would be to predict how likely a customer is to purchase certain products based on a number of factors including things like previous purchases, products they’ve recently viewed, geographic location, time of day, and even the current weather.

Using the breadth of ML capabilities, organizations across a wide variety of industries, are able to gain insights from large amounts of data and leverage those insights to make better decisions and gain new competitive advantages.