In the last five years, one of the new disciplines in banking that has emerged is the combination of machine learning and satellite imagery to gather bank intelligence on fraud, credit, and bank marketing. While this sounds daunting, in this article, we will show you some relatively simple applications of both artificial intelligence (A.I.) and satellite (sat) imagery to improve bank performance. In the last several years, bankers have learned that they have access to inexpensive imagery that is often free.
In the olden days, if you wanted to market deposits, the head of Retail would come to Marketing and say something like - “We need to raise deposits,” or “We have a new account opening platform that we need to market.” Marketing would then put together some ideas for a print or digital campaign; Retail would sign off on it, and then they would roll it out. Maybe it worked, perhaps it didn’t, but the reality is it likely was successful at some level, and everyone was happy. Unfortunately, this approach is quickly fading and highly inefficient.
Years ago, you went to the record store to purchase an album of music. It was curated by the artist, and maybe you liked two or three songs (unless it was Michael Jackson). In 2003, Apple Music was launched, and it soon became popular to purchase individual songs for a mere $0.99 each. However, it took work figuring out which songs to purchase and so by 2015; more people streamed music than downloaded songs. Now you go to YouTube, Spotify, Pandora, SoundCloud, Google or Amazon and simply listen to either their curated playlist or choose one from your friends.
It was back in 2014 when researchers at DeepMind directed their nascent artificial intelligence application to the game Breakout. Instead of programming DeepMind on how to play the game, the researchers programmed DeepMind to learn about learning to play the game. That is a meta level that isn’t normally programmed but the result of that effort, combined with many others, was in the back of our mind when we turned some artificial intelligent tools towards customer data.