Analyzing high volume of heterogeneous data on a timely manner is a big challenge that needs more than just analytics tools. Data Dreamers at VeriVal have developed machine learning (ML) models to help partners predict and forecast using the high volume of data near real-time. The ML models are being monitored continuously and adjusted as required to meet business objectives of our partners.


VeriVal engages with its partners to serve them predict and forecast using statistics and machine learning models that includes:

  • Supervised learning
  • Unsupervised learning
    • Artificial neural network
    • Association rule learning
    • Hierarchical clustering
    • Cluster analysis
    • Outlier Detection
  • Semi-supervised learning
  • Reinforcement learning
  • Deep learning