Technical Solutions



Analyze, Predict, Alert and Act Across Data-in-Motion

InsightEdge Smart ODS enables enterprises to build real-time fast data pipelines to predict fraud, optimize customer interactions, detect anomalies and sensor data all while providing the capability to co-locate consumer-facing applications. Applications can trigger actions or alerts on real-time streaming data while being able to correlate with historical and reference data at very low latencies.

Smart Operational Data Store Architecture


Capture real-time events and data streams and automatically trigger notifications based on defined business logic. Digital apps, analytics and external business processes can easily subscribe to any event in pull or push mode without impact on performance.

Process millions of events without performance tradeoff by sharing data across streams using an in-memory Smart ODS. Make more accurate decisions based on data from multiple streams for actionable insights.

Use unified storage to ingest any structured, semi-structured and unstructured data such as images, key value, documents, logs, social feeds and more. Analyze and perform analytics at the point of action.

Leverage rich machine learning and deep learning frameworks based on the popular open-source Spark and TensorFlow. Load pretrained Caffe or Torch models into the Spark framework.

Case Studies

Fast Data Access to Global eTrading Data for Risk Management and Regulation

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Predictive Maintenance and Route Optimization

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Fraud and Money Laundering Detection in Real-Time

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Instant Payments for Real-Time Transactions

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