Machine Learning & Advanced Analytics
Business Case Development
A good starting point for ML and advanced analytics solutions is to Identify various business cases related to advance analytics, prioritize these use cases on the basis of business value and complexity to create a roadmap.
Automated Machine Learning (AutoML)
AutoML increases the productivity of a data scientist for specific use cases by an order of magnitude. Identify a set challenger models to base model quickly, It help to automate a series of steps such as:
- Target data leakage detection, canonical diagnostic and feature importance
- Exploratory analysis, preprocessing, hyper-parameter tuning, model selection and operationalize models into production.
Prescriptive and Predictive Modeling
Achieve profitable outcomes by predicting and responding to customer churn, optimized store i.e. location inventory, inventory shortages, propensity to buy, cross sell, customer segmentation, and micro segmentation based prescriptive engagement.
Recommend the next best action to your customers to increase customer acquisition, cross-sell, and reduce churn. We use automated machine learning based prescriptive models to identify the next best action and respond in real time to increase monetization and reduce cost.
Natural Language & Image ProcessingCreate engaging visualizations to help decision making based on analytics. Empower your channel sales with necessary analytics to increase there topline.
- Image Classification to identify a specific image
- Object Detection to identify a specific object
- Activity Detection to detect movement
Create engaging visualizations to help decision making based on analytics. Bubble up the current view of your enterprise and anticipate future opportunities. Empower your channel sales with necessary analytics to increase the topline.