Do You Want My Money?

Do You Want My Money?

Recently, I received an inheritance and deposited it into the local bank I’ve done business with for a long time. And because my job is to sell Micronotes’ AI-driven marketing engagement solution to banks, I conducted a little experiment. I wanted to see how long it would take my bank to recognize this deposit, and engage me in a discussion about what I could do to maximize the funds. And I wanted to see what form the engagement would take.

How to Reduce Attrition and Retain Customers in the Age of Digital Banking—Part 1

How to Reduce Attrition and Retain Customers in the Age of Digital Banking—Part 1

The only thing worse than losing a profitable customer is knowing that you’re systematically losing profitable customers! As an AI-driven marketing technology company focused on deepening customer relationships, it was a natural evolution for Micronotes to begin offering our customers propensity risk scoring. In short, here’s why is matters and how it works.

Webinar: Regulating AI in Banking

The smarter technology gets, the more independent it becomes.

On June 13, 2018, Micronotes CEO and founder Devon Kinkead and Mark Casady, a former member of the Financial Industry Regulatory Authority board of governors, now a general partner with Vestigo Ventures, discussed how the rapidly growing use of artificial intelligence and machine learning in banking—particularly in marketing applications—will affect compliance.

Regulating AI in Banking — Part 4

Regulating AI in Banking — Part 4

One of the major benefits of machine learning is its ability to understand complex systems. For example, you can look at hundreds of variables and ML systems can identify which of those provide the most information gain. ML won’t necessarily tell you the direction in which each variable is likely to move, but I would assert ML does help users understand complex systems.

Regulating AI in Banking — Part 2

Regulating AI in Banking — Part 2

One of the issues that arises with fast-moving technologies, such as artificial intelligence and machine learning, in a highly regulated industry such as banking is the question of legal liability should something go wrong. Since regulation may not be in place beforehand, who is responsible if a perceived violation occurs? Do you blame the AI, do you blame the programmers? Who do you hold responsible?

How Artificial Intelligence is Driving Fast-Learning Financial Service Providers

How Artificial Intelligence is Driving Fast-Learning Financial Service Providers

Branch visits are down. Online banking continues to grow.

How can financial institutions prevent attrition and delinquency—and drive more business from existing users—when face-to-face interactions are rare and people are blind to banner ads?

Watch the webinar and learn about the results achieved by fast-learning financial institutions that are using AI-driven interview marketing to engage with users.