Technical Solutions

Streaming Analytics and Machine Learning

About

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

InsightEdge 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.

 

Benefits

EVENT-DRIVEN ANALYTICS IN REAL TIME

Make smarter decisions based on historical context and real-time data. Use in-memory data grid to fetch relevant data for intelligent event processing.

‌STATEFUL SHARING ACROSS MANY STREAMS

Process millions of events without performance tradeoff by sharing data across streams using the in-memory data grid. Make smarter decisions based on data from multiple streams for actionable insights.

SEAMLESS INTEGRATION WITH ANY STREAMING SOURCE

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.

SCALE APPLICATIONS THROUGH FAST DATA PIPELINES

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
Predictive Maintenance and Route Optimization
Fraud and Money Laundering Detection in Real-Time
Instant Payments for Real-Time Transactions