Challenges of real-time AI/ML computations

We will start from the examples that we faced as Data Science practice at InterSystems:

  • A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data feeds and updates into the recommender mechanisms (the volume of input data having increased 25000 times)? What will happen to recommendation rule generation setup (the need to reduce 1000 times the recommendation rule filtering threshold due to a thousandfold increase of the volume and “assortment” of the rules generated)?
  • An equipment health monitoring system uses “manual” data sample feeds. Now it is connected to a SCADA system that transmits thousands of process parameter readings each second. What will happen to the monitoring system (will it be able to handle equipment health monitoring on a second-by-second basis)? What will happen once the input data receives a new bloc of several hundreds of columns with data sensor readings recently implemented in the SCADA system (will it be necessary, and for how long, to shut down the monitoring system to integrate the new sensor data in the analysis)?
  • A complex of AI/ML mechanisms (recommendation, monitoring, forecasting) depend on each other’s results. How many man-hours will it take every month to adapt those AI/ML mechanisms’ functioning to changes in the input data? What is the overall “delay” in supporting business decision making by the AI/ML mechanisms (the refresh frequency of supporting information against the feed frequency of new input data)?

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Hi Community!

I'm pleased to announce that we've just launched the new product in the family of InterSystems Data Platforms:

InterSystems IRIS for Health

IRIS for Health — is the world’s first and only data platform engineered specifically for healthcare. It empowers you to rapidly create and scale the industry’s next breakthrough applications.

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Welcome to the next chapter of my CI/CD series, where we discuss possible approaches toward software development with InterSystems technologies and GitLab.
Today, we continue talking about Interoperability, specifically monitoring your Interoperability deployments. If you haven't yet, set up Alerting for all your Interoperability productions to get alerts about errors and production state in general.

Inactivity Timeout is a setting common to all Interoperability Business Hosts. A business host has an Inactive status after it has not received any messages within the number of seconds specified by the Inactivity Timeout field. The production Monitor Service periodically reviews the status of business services and business operations within the production and marks the item as Inactive if it has not done anything within the Inactivity Timeout period.
The default value is 0 (zero). If this setting is 0, the business host will never be marked Inactive, no matter how long it stands idle.

This is an extremely useful setting since it generates alerts, which, together with configured alerting, allows for real-time notifications about production issues. Business Host being idle means there might be some issues with production, integrations, or network connectivity worth looking into.
However, Business Host can have only one constant Inactivity Timeout setting, which might generate unnecessary alerts during known periods of low traffic: nights, weekends, holidays, etc.
In this article, I will outline several approaches towards dynamic Inactivity Timeout implementation. While I do provide a working example (currently running in production for one of our customers), this article is more of a guideline for building your own dynamic Inactivity Timeout implementation, so don't consider the proposed solution as the only alternative.

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Hi Community!

Please welcome a new video on InterSystems Developers YouTube Channel:

Continuous Delivery with Containers

https://www.youtube.com/embed/QyE7sF86eMk
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Hi everyone,

Learn about iris-lockeddown, a version of the InterSystems IRIS data platform container designed to work with the most stringent container security policies:

Using Containers in Highly Secure Environments with IRIS Lockdown

https://www.youtube.com/embed/01aK7BxarSE
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Comprehensive patient view, communication and data sharing, and population health management are key components

Federal agencies have been incenting healthcare providers to leverage their electronic health records (EHRs) to get patients involved in the management of their care. Most organizations, however, haven’t moved beyond patient engagement as an item to be checked off in order to receive meaningful use incentive funding.

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Hi Community,

Watch this video to find out how these digital health startups are improving workflows for disease management, remote patient monitoring, and patient engagement:

Digital Health Showcase - Virtual Care @ Global Summit 2023

https://www.youtube.com/embed/-_lZ1CGqB9I
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Customers who switch to Caché from relational databases report that their average performance is up to 20 time faster, running on the same hardware, with no changes to the application. What is it about Caché that lets applications run so fast?

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Hi Community!

We try a new approach to the InterSystems Developers YouTube Videos called "Coding Talks"!

Coding Talks is a short video in which the developer demonstrates a particular feature or functionality of InterSystems Data Platforms which he/she uses to in coding. Typical format: the face on side and editor with ObjectScript.

Check this video I made by myself participating in Advent of Code 2018 and coding with InterSystems ObjectScript in VSCode.

Coding Advent of Code 2018 Using InterSystems ObjectScript

https://www.youtube.com/embed/GyFJ67jqXCU
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Hi Community!

Please welcome a new video on InterSystems Developers YouTube Channel:

Alexa: Connect Me with the World of IoT

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

Here is the digest of the most popular videos on InterSystems Data Platforms we published in 2018 on InterSystems Developers YouTube Channel!

And!

Please check the most popular videos by Watch Time. See the details below.

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Hello All,

InterSystems Certification has redesigned their IRIS Integration certification exam, and we again need input from our community to help validate the topics. Here's your chance to have your say in the knowledge, skills, and abilities that a certified InterSystems IRIS Integration Specialist should possess. And, yes, we'd like to hear from you Ensemble users as well!

Here's the exam title and the definition:

InterSystems IRIS Integration Specialist

An IT professional who:

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Article
· Jan 29 2m read
Get familiar with FHIR

🔥 Curious about the FHIR standard that everyone's talking about?

📚 Read on for a brief introduction, then try a brand-new learning path to get more in-depth knowledge!

The HL7® FHIR® standard has revolutionized the way healthcare developers take on the challenges of data interoperability. FHIR allows healthcare systems to exchange information seamlessly, and patient data can be consolidated in real time, regardless of where it's stored.

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Is it possible to authenticate an xDBC (ODBC/JDBC) connection to InterSystems IRIS via (a 3rd party) OAuth server?

For REST APIs this is possible, but could this be achieved with OAuth?

Out-of-the-box the ODBC/JDBC Drivers don't seem to have this option, but maybe some custom code could enable this? perhaps via Delegated Authentication and some OAuth classes customization, or some other way?

Has anyone done this already and can share how it was implemented, or someone with some guideline suggestions?

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Hi Community!

Please welcome a new video on InterSystems Developers YouTube Channel:

Developing with FHIR - REST APIs

https://www.youtube.com/embed/eRKLxadJ9m8
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Memorial Sloan Kettering Cancer Center — the world’s oldest and largest private cancer center — has devoted more than 135 years to exceptional patient care, innovative research, and outstanding educational programs. Today, we are one of 51 National Cancer Institute–designated Comprehensive Cancer Centers, with state-of-the-art science flourishing side by side with clinical studies and treatment.

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Introduction

I recently participated in a fantastically organized hands-on by @Patrick Jamieson in which an Angular application was configured together with an IRIS FHIR server following the protocols defined by SMART On FHIR and I found it really interesting, so I decided to develop my own Angular application and thus take advantage of what I learned to publish it in the Community.

SMART On FHIR

Let's see what Google tells us about SMART On FHIR:

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Keywords: Anaconda, Jupyter Notebook, Tensorflow GPU, Deep Learning, Python 3 and HealthShare

1. Purpose and Objectives

This "Part I" is a quick record on how to set up a "simple" but popular deep learning demo environment step-by-step with a Python 3 binding to a HealthShare 2017.2.1 instance . I used a Win10 laptop at hand, but the approach works the same on MacOS and Linux.

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InterSystems Official
· Feb 23
InterSystems Platforms Update Q1-2024

Welcome to the first quarterly platform update of 2024. If you’re new to these updates, welcome! This update aims to share recent changes as well as our best current knowledge on upcoming changes, but predicting the future is tricky business and this shouldn’t be considered a committed roadmap.

With that said, on to the update…

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