Solving Merchant Attrition using Machine Learning
Challenge for Merchant Acquirers Merchant attrition is a major problem not just in the financial industry but in any sector (substitute ‘merchants’ with ‘customers’ in a given business). The difficulty lies in identifying churn-probable merchants. According to a recent article from Womply Insights and Goldman Sachs, “Merchant acquirers lose... Read more
Is Babel’s Data Tower Compatible With Centralized ML Solutions?
Does data have a common language?  Data structure and its content reflect the technological domain where the data comes from. The available technology is a relevant aspect to be considered. Professionals usually create databases by using the tools which are available in the digital market.  Therefore, most of the... Read more
Generative Adversarial Networks for Finance
Financial instruments like options and futures have been around for more than two centuries. Although they became quite notorious during the 2008 stock market turmoil, they serve a real economic purpose for companies around the world. To explain financial... Read more
A Crash Course on Deep Learning in the Cloud
Deep learning is the newest area of machine learning and has become ubiquitous in predictive modeling. The complex brain-like structure of deep learning models is used to find intricate patterns in large volumes of data. They have substantially improved the performance of general supervised models, time series, speech recognition,... Read more
Sequence Modelling with Deep Learning
This is a short preview post for my upcoming tutorial  “Sequence Modelling with Deep Learning” at ODSC London in November 2019. — Much of data is sequential — think speech, text, DNA, stock prices, financial transactions, and customer action histories. Our best-performing methods for modelling sequence data use deep neural networks,... Read more
Interoperable AI: High-Performance Inferencing of ML and DNN Models Using Open-Source Tools
TensorFlow? PyTorch? Keras? There are many popular frameworks to choose from when working with deep learning and machine learning models, each with its own pros and cons for practical usability in product development or research. Once you decide which to use to train your model, you need to figure... Read more
Telling Human Stories with Data
Editor’s Note: Be sure to attend Alan’s talk on this idea of telling human stories with data at ODSC Europe this November 19 – 22 in London! Register now for “Bringing Data to the Masses Through Visualization.” If you’re reading this and you’re part of the ODSC community, the... Read more