In this contest, we expect to see applications full-stack, frontend, or backend applications that make use of InterSystems IRIS Cloud SQL to work with data and optionally will utilize its IntegratedML option to create AI/ML solutions. Your application could be a library, package, tool, or any SQL or/and AI/ML solution which uses InterSystems IRIS SQL Cloud on a backend.
Basically, we invite you to use InterSystems IRIS in this contest as a 100% SQL engine with an AutoML option via IntegratedML offering.
👉 Full details on topic and requirements can be found in this post.
If the application satisfies additional requirements listed here, it gets additional technology votes!
Any Developer Community member, except for InterSystems employees (ISC contractors allowed). Create an account!
Developers can team up to create a collaborative application. Allowed from 2 to 5 developers in one team. Don't forget to highlight your team members in the README of your application – DC user profiles.
Log in to Open Exchange, open your application page, make sure that it meets the requirements, and click the "Apply for Contest" button. Your application will be sent for approval and once approved will appear on the Contest page eventually.
By participating in the contest you agree with the following Terms and Conditions.
Visit contest page to read and discuss the rules, nominations & judgment criteria.
Join InterSystems Discord to chat about requirements, technology, voting, etc.
Example of using InterSystems IRIS Cloud SQL and IntegratedML
Author: Maria Gladkova
Experts 62Community 157
Is your text generated by AI?
Author: Oleh Dontsov
Experts 47Community 131
Apache Superset support for IRIS
Author: Dmitry Maslennikov
Experts 45Community 164
Create, Train, Validate, Predict and Explore ML models
Author: Muhammad Waseem
Experts 27Community 83
Checking customer churn with IntegratedML
Author: Oleh Dontsov
Experts 26Community 52
Consolidate Audit data from any IRIS instances to IRIS Cloud SQL
Author: Oliver Wilms
Experts 18Community 60
Tokenize sensitive data, store it on Cloud SQL and get it after
Author: YURI MARX PEREIRA GOMES
Experts 16Community 42
Height and weight prediction based on InterSystems IntegratedML
Experts 10Community 109