ML & Advanced Analytics Solutions
Harness ML & Analytics to Drive Competitive Advantage
Machine Learning (ML) and advanced analytics are essential for leveraging data to drive innovation, improve decision-making, and gain competitive advantage. These services encompass a wide range of activities, from data preparation and model development to deployment and ongoing optimization.
Model Development
Algorithm Selection
Select appropriate ML algorithms (e.g., regression, classification, clustering, neural networks) based on the problem at hand.
Model Training
Train ML models using historical data, optimizing for accuracy, precision, recall, and other relevant metrics.
Hyperparameter Tuning
Fine-tune model parameters to improve performance.
Advanced Analytics
Predictive Analytics
Develop models to predict future outcomes based on historical data.
Prescriptive Analytics
Provide recommendations for actions based on predictive insights and optimization techniques.
Descriptive Analytics
Analyze historical data to understand past trends and patterns.
Diagnostic Analytics
Identify the underlying causes of observed patterns and anomalies
Model Validation and Testing
Cross-Validation
Use cross-validation techniques to ensure the model generalizes well to unseen data.
Performance Evaluation
Evaluate model performance using appropriate metrics (e.g., accuracy, F1 score, ROC AUC).
Stress Testing
Test the model under various scenarios to ensure robustness and reliability.
What we offer
Key Use Cases
Credit Risk Analytics
Contract Data Mining and 2 way matching
Lead Recommendation Engine for Salesforce
AI led Inventory Optimisation
