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AI/ML Enablement

Enabling business with AI/ML Technology to achieve efficiency and intelligence

Implementation Methodology

1. Recommender Systems:

  • Recommendation engine is an artificial intelligence or AI algorithm, usually associated with machine learning, that uses Big Data to suggest or recommend additional products to consumers
  • These can be based on various criteria, including past purchases, search history, demographic information, and other factors
  • Recommender system based on content, collaborative and hybrid models

    • Recommender Systems Usecases:

  • Product Recommendation system
  • Friend Recommendation system
  • User Recommendation system

    • 2. Time Prediction Models

  • Predictive algorithm trained on historical dataset and applied to new data for forecasting the likelihood of an event

    • Prediction Model Usecases:

  • Last Mile Delivery prediction
  • Time to complete prediction
  • Breach possibility prediction

    • 3. Classification Models

  • Classification models for object detection and classification based on trained image datasets

    • Classification Models Usecases:

  • Quality Assurance
  • Branding
  • Face recognition