Bank Earnings Call Questions – Get Ready for These

Now that 1Q is in the books, if you are a public bank, you may have an earnings call coming up in some form. We want to better prepare you and get you ready for bank earnings call questions. To do that, we wrote a Python script to analyze a representative sample of earnings call…

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Get Ready for Large Action Models in Banking

You engage an app and speak your mind about a financial task. You are agnostic about which one of your many relationships accomplishes the task, only that the task gets done. Where traditionally, you might use an interface such as Siri or Alexa to pay your Verizon bill on time, now you tell your virtual…

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10 Lessons From The Small Business Banking Conference

Recently, the American Banker hosted their annual Small Business Banking Conference in Nashville, and as always, it was one of the better banking conferences of the year. This conference is crucial because it provides insight into small business banking and has a good mix of essential banking-focused topics with a heavy emphasis on the customer…

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Using Data in Banking – Get This Framework

One challenge in banking is that many banks know data is the bank’s future but lack a data framework. As a result, their progress in leveraging data and machine learning is slow. In this article, we explore what a data strategy looks like, how that translates into tactics, and how the “Next Best Action” should…

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Bank Marketing AI – 14 Applications That Are Worth Knowing About

If you are looking to see the future of how banks will utilize artificial intelligence (AI), look no further than marketing. Even if you are not a bank marketer, this article is worth a read to understand AI’s capabilities. Bank marketing AI is ground zero to showcase the transformation that is already taking place. We…

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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…

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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…

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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…

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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…

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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,…

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