Amir Samary


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Financial Fraud Prevention with ML and IRIS
Financial Fraud Prevention with ML and IRIS
Demo of how to apply Machine Learning and Business Rules to prevent frauds on financial transactions.
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HL7 and SMS Interoperability Demo
HL7 and SMS Interoperability Demo
This application requires you to have Docker installed on your PC.
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Ingestion Speed Test
Ingestion Speed Test
Shows how InterSystems IRIS can ingest thousands or millions of records per second while allowing for queries on the same cluster. Works on a single InterSystems IRIS instance or on an InterSystems IRIS cluster on the cloud.
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IRIS-Smart-Factory-Starter-Pack
IRIS-Smart-Factory-Starter-Pack
An Application Starter Pack (ASP) is a code base built by an InterSystems partner using InterSystems IRIS Data Platform that shortens the time to develop a complete application that addresses a specific industry or technology challenge. It is not a completed application. Rather, it is a starter code that can be extended and customized by partners and customers to meet specific customer requirements and environments.
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Kafka Demo with InterSystems IRIS
Kafka Demo with InterSystems IRIS
Demo of InterSystems IRIS with Kafka, Schema Registry, AVRO and Schema Migration. We also show how the data coalesced in InterSystems IRIS can be queried using SQL, REST and MDX (Business Intelligence)
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Reducing Readmission Risks with Realtime ML
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.
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Twitter Sentiment Analysis with IRIS
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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