Rapidly Operationalize Machine Learning and AI
AI/ML is a hot technology but like the cloud a few years back, many organizations aren’t clear how to leverage it. Uncertainty is high and AI/ML requires a heterogeneous toolkit that changes often. So the uncertainty/benefits dilemma usually means no action is taken.
To solve this, our clients have turned to System Soft Technologies ML Ops practice to augment their existing applications with AI/ML seamlessly. We handle the end-to-end workflow so their data scientists can focus on creating the best data models.
1. Measuring Digital Marketing Effectiveness
Business relevant features created from multiple data sources
Tree-based models (Random Forest, Gradient Boosting) were built to predict sales
Models deployed On-prem. Models were updated everyday based on campaign data (spend, sales, etc.)
The insights dashboard helped the Digital team optimize the marketing campaign and improved the effectiveness by 12%, resulting in additional sales of $3M for the campaign.
2. Improve Website Engagement
Average time spent per session increased by 220%. Sales revenue grew 4X.