AI for Proactive Action – Leveraging Data to Drive Predictions


The previous posts in this series have covered several ways that business leaders can use to understand and explore how Artificial Intelligence can impact their business. We saw that there are several key ways in which AI advances can improve human productivity in organizations. The last two articles dived into Distillation: automating the path to value, and Categorization: managing data at scale. Prediction is applying AI approaches to learn from past (and possibly other) data to predict what will happen. An excellent example is the Spam Filter algorithm used in email systems.