Building walls to tear them down Traditional FSI organizations have silos due to regulatory, legal and operating pressures. Business units and functions try to unify
Breaking Down Machine Learning Silos to Maximize Value Read More »
Artificial intelligence is a broad field of research which seeks to create systems that mimic or even surpass human intelligence. Machine learning is an approach
Machine Learning vs Artificial Intelligence Read More »
The machine learning lifecycle encompasses every stage of machine learning model development, deployment, and performance monitoring. This includes the initial conception of the model as
Machine Learning Model Lifecycle Read More »
Anomaly detection is an important factor for every stage of the whole machine learning lifecycle. The development and building of a machine learning model will usually require
Anomaly Detection in Machine Learning Read More »
Over the last few years, there has been a distinct focus on building machine learning systems that are, in some way, responsible and ethical. The
Bias vs Fairness vs Explainability in AI Read More »
The financial and banking sectors are incredibly data-rich, with millions of transactions and transfers occurring every day. Data-led decisions are an integral part of the
Machine Learning in Finance Read More »
Covariate shift is a specific type of dataset shift often encountered in machine learning. It is when the distribution of input data shifts between the training
What is Covariate Shift? Read More »
A/B testing is an optimization technique often used to understand how an altered variable affects audience or user engagement. It’s a common method used in
A/B Testing for Machine Learning Read More »
Cross validation is the use of various techniques to evaluate a machine learning model’s ability to generalize when processing new and unseen datasets. Generalization is
What is Cross Validation in Machine Learning Read More »
Deep learning is a form of machine learning which aims to mimic and imitate the processes of the human brain through machine learning algorithms. The resulting
What is Deep Learning? Read More »
