Correspondent Blog
Tag: Machine Learning
Deposit Marketing In the Age of Machine Learning
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.” 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…
How Banks Are Using AI for Document Intelligence
Banks are full of documents. Each document contains an extensive array of data. Just keeping track of non-disclosure agreement terms is a huge task. Then there are vendor contracts, employment agreements, statements of work, loan documents, financial statements, tax returns, deposit account documents, policies, and an array of similar applications. The challenge is that most…
5 Lessons We Learned Using AI for Bank Email Marketing
Email is one of the most effective bank marketing channels available. Most banks send emails with little regard to optimization – they create an email, then send it. Other banks, like ourselves previously, pour over countless amounts of data to optimize open rates, clicks, and conversions. Now, it is about personalization and using artificial intelligence…
What Machine Learning Taught Us About Branch Management
These days, if you want to make tough branch decisions, use a good college student instead of an experienced banker. We will come back to the college student but, in this post, we pitted experienced bankers against the latest branch models against the latest machine learning applications to see which method was more accurate at…
What We Learned from AI Trained on Treasury Management
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,…