This template detects anomalous data points in a dataset using an autoencoder algorithm. It features automated machine learning to facilitate use by business analysts and citizen data scientists. The Time Series release of the template includes time series analysis and clustering of anomalies
Identify potentially fraudulent activities in a high-frequency transaction stream using TIBCO's Financial Fraud Detection Accelerator. Build supervised and unsupervised models and hot deploy these on the event processing platform. Score transactions in real-time and raise cases for investigation when potential fraud is detected.
Command Center for Marketo Insights – contains a set of web-based analytics to give marketing operations users more insights into the activities being recorded by their Marketing automation solution, the ability to segment and explore their lead database, identify and remediate data quality issues, and a set of tools to uncover insights that can be shared with the broader marketing organization to improve campaign planning, engagement analysis, and track high level KPI’s.
Random Forest is an ensemble tree machine-learning algorithm. This template employs supervised learning to determine variable importance and make predictions. It features automated machine learning to facilitate use by business analysts and citizen data scientists.