Predictive modeling and in-depth analytics from a market-leading machine learning platform
Neural Technologies’ Machine Learning (ML) solution is built on decades of leading industry experience delivering predictive modeling and machine learning algorithms that drive new revenue opportunities for its customers.
Our advanced machine learning solutions are designed for complex real-world operating environments, providing flexible and scalable manipulation of often contradictory data flows. They enable real-time insight through open Python integration for streaming data analytics. The Optimus Platform’s powerful data transformation functionality significantly reduces time spent wrangling data sources, reducing data integration time by up to 80%.
Neural Technologies’ machine learning solution combines three key pillars of operations through self-learning Structured Analytical Profiling, Unconstrained Anomaly Detection to identify the “unknown”, and Structured Classification Prediction for advanced risk analytical techniques.
This powerful machine learning solution offers risk predictions that can reduce revenue loss and limit enterprise risk through comprehensive modelling of both labelled and unlabelled data, helping highlight and flag anomalies that could indicate system risks.
Neural Technologies’ machine learning platform provides structured profiling, unconstrained anomaly and classification type analyses that are fully automated, and coupled with graphical explainable representations to promote information understanding from complex data.
A self-learning platform means that Optimus is constantly adjusting and learning through autonomous retraining. That offers a constant iterative feedback loop that delivers robust self-learning, continually optimizing the solution.
The Optimus Machine Learning solution is enhanced with intelligence relationship networks to reduce subscription fraud risk and provide comprehensive identity verification solutions. The use of convolutional neural networks enhances insight on identity verification. Density-based analytics can be applied to specific fraud use cases in industries such as telecoms, banking and digital media, providing a predictive modeling solution that identifies fraud risks before revenue is lost.
With its simple implementation and modular design, the Optimus ML solution provides a flexible platform with analytical insight beyond risk and fraud detection, leveraging flexible design and GUI-based configurability.
Building business assurance
Business assurance solutions are also delivered through Neural Technologies’ machine learning platform, enabling multidimensional modeling for detailed trend analysis. Associative analytics complement business insight thanks to data based root cause analysis.
OpenApi integration ensures Optimus Machine Learning is easily integrated with existing data workflows, while also providing seamless connectivity with Optimus Risk Analysis, or third-party risk analysis platforms. Integration through a mediation layer with Optimus Data Insight provides access for other applications seeking to benefit from the insight of the proprietary machine learning algorithms.