eQube®-ADA (Augmented Data Analytics) provides advanced and predictive analytics that automates data discovery using Machine Learning and advanced statistical techniques. It enables organizations to uncover patterns, clusters, anomalies, textual insights, forecasts, time series trends, and similarities across large and complex datasets, turning raw data into actionable intelligence.
Task-Driven ML Pipelines, Built for Reuse
eQube®-ADA enables analytics to be defined as task-specific analysis pipelines, where multiple ML and statistical techniques are orchestrated as steps in a single workflow. Built on proven frameworks such as scikit-learn, Dask, statsmodels, and Spark-ML, these pipelines produce trained models and enriched datasets that can be reused, operationalized, and consistently applied across use cases.
Augmented Semantics and Platform-Wide Consumption
eQube®-ADA enables augmented semantic modeling, which automatically discovers data structures and generates semantic models, reducing manual effort and accelerating insight delivery. The resulting models, datasets, and insights are exposed through REST APIs and seamlessly consumed across the eQube® platform, including eQube®-MI, eQube®-BI, and eQube®-DP. This extends value across data profiling, data quality, harmonization, modeling, enrichment, metadata development, and data cataloging.
USE CASES
- Predict and Prevent Issues
- Turn Insights into Action
- Enable Domain Experts
- Modernize Without Disruption
- Embed Intelligence Everywhere
- Accelerate Insight to Value
KEY CAPABILITIES
Why Customers Choose eQube®-ADA
eQube®-ADA is built for organizations that want analytics that drive action, not disconnected ML experiments. It enables teams to operationalize Machine Learning across real business workflows securely, at scale, and without disrupting existing systems, so insights consistently translate into measurable outcomes.
Purpose-Built for Complex, Engineering-Led Enterprises