Blueprint Design Studio

Design palate for building, testing, and validating data and analytic integrations in the form of decision blueprints.

Blueprint Publisher

Deploy decision blueprints developed in the Design Studio into various runtime environments (test, QA, production).

Blueprint Validator

Test and validate deployed blueprints using an external test harness to ensure that they are ready for integration with calling applications and channels.

Blueprint Simulator

Batch execution tool for running larger record sets through a decision blueprint to allow for "what-if" style simulations following changes to blueprints, algorithms, or shifts in data or customer populations.

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Blueprint Performance Logger

Detailed logging for blueprints inputs and outputs.

Quickpath ML Primer

Batch execution tool for running training or validation data sets into machine learning algorithms in order to "prime the pump" and train the production ML application prior to go live, so that the ML application is not in pure exploratory mode when launched in production.

Quickpath Health Monitor

Monitor the activity, usage, health, and performance of your blueprints deployed to production to ensure that they are performing within expected boundaries. Receive proactive alerts based on custom defined thresholds when results fall outside of expected boundaries.

Quickpath Learning Loops

Create rich machine learning feedback loops that include current ML features as well as additional features for future retraining and continual improvement. No more building training datasets, let QP learning loops automate operational training dataset generation.

Quickpath Data Adaptors

Connect to your collection of relational databases, NoSQL databases, webservices, and microservices to acquire and prepare data for analytic decisioning and machine learning (first party and third party adaptor subcategories).

Quickpath Analytic Adaptors: Built In

Quickpath Built In: Leverage high performing, yet low cost, build in analytic solutions for predictive model scoring, machine learning, and AI for using industry standard algorithms for propensity scoring, clustering, segmentation models as well as graph, NLP/NLU, image and facial recognition, and other deep learning applications.

Quickpath Analytic Adaptors: Third Party

Take a best of breed approach and leverage the on premise and cloud based analytic vendors and platforms for predictive model scoring, machine learning, and AI for propensity scoring, clustering, segmentation models as well as graph, NLP/NLU, image and facial recognition, and other deep learning applications