Transforming Telecom with Al – An Executive Summary
In a hyper competitive and hyper connected industry, telecom companies need a distinctive edge enabling them to stay ahead of the curve and closely align with the needs of their customers. The challenges in keeping a constant pulse on the market are amplified several fold due to complex behavioral dynamics within the customer base.
Demystifying Al Models (Part I) – A Statistical Overview
Random Forest is a supervised Machine Learning model that is widely used in solving both Regression and Classification problems. This model relies on an ensemble technique that combines the output of multiple, often hundreds of Decision Tree Models that yields...
Demystifying Al Models (Part II) – A Statistical Overview
XGBoost belongs to the Gradient Boosting class of Machine Learning models that relies on the decision tree framework. It is arguably one of the most popular machine learning models for regression and classification based modelling due to its high efficiency. XGBoost model was designed...
