A Cash Flow Model to Meet Daily Banking Needs

Predicting customer finances using deep learning on…

Imbalanced Learning in Banking

Much like anomaly detection, imbalanced learning is a common practice in banking. In this post, we will…

Designing and building a micro-service: form-based PDF files

Introduction

Basic text classification pipeline and deployment

TL; DR: In instances of missing data, a rather common task is to build binary classification models for customer types based on their corresponding names. Such models can be built in a variety of ways. In this brief walk-through, we look at…

Anomaly Detection in Finance #1

Learning tasks in finance as in most other fields, can be divided into the two usual classes of…

Doing Analytics & AI work for the many…

AI in Banking. Part 1.

Being one of the largest banks in the Nordics means that we attract a lot of positive (and sometimes negative) attention. Often people are genuinely curious about the work we do and how we, as one…

5 essential steps in order to measure success — successfully!

Applications of research design for…

Anomaly Detection in Finance #2

In the previous post we discussed some of our thoughts on anomaly detection and how aspects such as…

Instruments for data scientist toolbox

Selection of tools for data scientist toolbox.

Uncertainty management using Agile

They say data scientists love uncertainty. That’s partially true.