#Open Exchange

Hi Developers!

The InterSystems IRIS AI Contest is over. Thank you all for participating in our IRIS AI Competition!

And now it's time to announce the winners!

A storm of applause goes to these developers and their applications:

Hey Developers!

This week is a voting week for the InterSystems IRIS AI Programming Contest!

So, it's time to give your vote to the best AI- and ML-enabled solution on InterSystems IRIS!

🔥 You decide: VOTING IS HERE 🔥

How to vote? This is easy: you will have one vote, and your vote goes either in Experts Nomination or in Community Nomination.

Hi Community,

Please welcome the new video, specially recorded by @Renato Banzai for the InterSystems IRIS AI Programming Contest:

⏯ IRIS ML Suite Demo

https://www.youtube.com/embed/3-YSnFQnMLU
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A few months ago, I read this interesting article from MIT Technology Review, explaing how COVID-19 pandemic are issuing challenges to IT teams worldwide regarding their machine learning (ML) systems.

Such article inspire me to think about how to deal with performance issues after a ML model was deployed.

As you probably know, InterSystems IRIS has a mechanism for auto-generating methods. So, when you create an index in a class, you create methods that make your work easier. There is also a good article on Community that describes such methods.

Take, for example, IndexNameOpen(val), where IndexName is the name of the corresponding index. This method returns an object in which the value of this index corresponds to the value of val.

But this method is available only for unique indexes.

Imagine you want to see what InterSystems can give you in terms of data analytics. You studied the theory and now you want some practice. Fortunately, InterSystems provides a project that contains some good examples: Samples BI. Start with the README file, skipping anything associated with Docker, and go straight to the step-by-step installation. Launch a virtual instance, install IRIS there, follow the instructions for installing Samples BI, and then impress the boss with beautiful charts and tables. So far so good.

Inevitably, though, you’ll need to make changes.

Hi Developers!

Here in Developers Community, we have posts, which are categorized by tags. Tags - are specific topics, which relate to InterSystems products, InterSystems services, or any concept related to software development, deployment, or maintenance etc.

Tag is a helpful thing because it gives the option to follow/subscribe to the tag, filter the search by the tag, understand how popular or not unpopular the topic and more.

And we have a problem!

Actually two problems. The tags for the post are selected by the author of the post, and we have the following issues: the author chooses wrong tags for a post, and the post lacks proper tags.

And we think this problem could be solved with AI/ML approach and so we suggest you solve it during the InterSystems IRIS AI Contest.

Hi Developers,

Please welcome the new video, specially recorded by @Zhong.Li for the InterSystems IRIS AI Programming Contest:

⏯ IntegratedML-Template Demo

https://www.youtube.com/embed/YxpMc3sODxk
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Hi Community!

We're pleased to invite all the developers to the upcoming "ZPM – Package Manager for InterSystems IRIS" webinar on June 18th at 11:00 AM EDT.

You will learn about the ObjectScript Package Manager Client called ZPM.

Speaker:
@Evgeny Shvarov, InterSystems Developer Ecosystem Manager

What is ZPM and what awaits you at this webinar?

In an earlier article (hope, you’ve read it), we took a look at the CircleCI deployment system, which integrates perfectly with GitHub. Why then would we want to look any further? Well, GitHub has its own CI/CD platform called GitHub Actions, which is worth exploring. With GitHub Actions, you don’t need to rely on some external, albeit cool, service.

In this article we’re going to try using GitHub Actions to deploy the server part of InterSystems Package Manager, ZPM-registry, on Google Kubernetes Engine (GKE).

Hi Developers!

The InterSystems IRIS Native API Contest is over. Thank you all for participating in our IRIS Competition!

As a result – 8 great apps! And now it's time to announce the winners!

Hi Community!

This week is a voting week for the InterSystems IRIS Native API Programming Contest! We have 8 applications — so you have a set of applications to choose from!

How to vote? This is easy: you will have one vote, and your vote goes either in Experts Nomination or in Community Nomination.

What is the OData

Hi Community,

Please welcome the new video, specially recorded by @Robert Cemper for the InterSystems IRIS Native API Programming Contest:

⏯ WebSocket Client JS with IRIS Native API as Docker Micro Server

https://www.youtube.com/embed/tM8_JHUF3k0
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