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Financial Fraud Prevention with ML and IRIS
Demo of how to apply Machine Learning and Business Rules to prevent frauds on financial transactions.
HL7 and SMS Interoperability Demo
This application requires you to have Docker installed on your PC.
Ingestion Speed Test
Shows how IRIS can ingest thousands or millions of records per second while allowing for queries on the same cluster. Works on a single IRIS instance or on an IRIS cluster on the cloud.
Reducing Readmission Risks with Realtime ML
Patient Readmissions are said to be the Hello World of Machine Learning in Healthcare. We use this problem to show how IRIS can be used to safely build and operationalize ML models for real time predictions and how this can be integrated into a random application.
Twitter Sentiment Analysis with IRIS
Use IRIS Natural Language Processing and its interoperability capabilities to fetch realtime tweets and analyze their sentiment as well as their metadata.
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