#IntegratedML

1 Follower · 88 Posts

InterSystems IntegratedML is an all-SQL machine learning (ML) module for InterSystems IRIS or IRIS for Health that:
- Gives users the ability to create, train and deploy powerful models from simple SQL syntax without requiring data scientists.
- Wraps "best of breed" open source and proprietary "AutoML" frameworks including DataRobot.
- Focuses on easy deployment to IRIS, so you can easily add machine learning to your applications.

Please find more information including videos and infographics at the IntegratedML Resource Guide.

Article Henry Pereira · Feb 14 3m read

cover

Picture a dark room. The only light comes from a wall of displays and a blinking prompt that politely informs you:

“LINK TO M-U5K-3T: HIGH LATENCY – DIRECT CONTROL DISABLED.”

Perfect.

You are supposed to be a Rover Commander in the Musketeer Corps. Somewhere absurdly far away, you have an autonomous unit parked on a hostile exoplanet. It wants you dead, but it’s also covered in minerals that could fund a small civilization.

The ore on M-U5K-3T is everywhere. Unfortunately, everything else on the surface is actively trying to kill you.

So, we don't pilot. We script.

You aren't driving a car; you are

3
0 57
New
Discussion Jorge Jaramillo Herrera · Feb 23

Hello everyone,
I’m looking to implement Continuous Training (CT) as part of an MLOps strategy for some data science projects in IRIS. I want to automate the full cycle:

- Monitoring model performance & accuracy degradation.
- Retraining models automatically.
- Validating and updating production models.

I’ve looked into IntegratedML, but it seems more focused on the SQL interface for training (AutoML). Even with the new Custom Models (beta), which allows for more flexibility with Python, it doesn't seem to provide the "Continuous" orchestration out of the box.

I’d like to know:

0
0 38
Article Yuri Marx · Dec 11, 2025 8m read

Supply Chain refers to a set of processes and activities performed by the company's business areas and its suppliers and partners (stakeholders), from the acquisition of raw materials, through production, to delivery to the end consumer. It can be better managed using SCM solutions with the orchestration of the InterSystems IRIS:

 

0
5 180
Announcement Thomas Dyar · Nov 17, 2025

We're excited to announce the Early Access Program for IntegratedML Custom Models, a powerful new capability coming in IRIS 2026.1!

What Is It?

IntegratedML Custom Models extends the existing IntegratedML/AutoML feature by letting you deploy your own custom Python ML models directly within SQL queries.

2
4 239
Article Thomas Dyar · Mar 25, 2025 2m read

Introduction

In InterSystems IRIS 2024.3 and subsequent IRIS versions, the AutoML component is now delivered as a separate Python package that is installed after installation. Unfortunately, some recent versions of Python packages that AutoML relies on have introduced incompatibilities, and can cause failures when training models (TRAIN MODEL statement). If you see an error mentioning "TypeError" and the keyword argument "fit_params" or "sklearn_tags", read on for a quick fix.

Root Cause

  • scikit-learn updated to version 1.6.0, deprecating fit_params.
  • scikeras is no longer updating the
1
0 317
InterSystems Official Daniel Palevski · Apr 2, 2025

Summary of Alerts

Alert ID Product & Versions Affected Explicit Requirements
DP-439207 InterSystems IRIS® data platform 2024.3 (AIX) AIX installations Using JSON processing and Unicode non-Latin-1 character sets
DP-439280 InterSystems IRIS 2024.3 (containers with IntegratedML) IntegratedML Containers using TensorFlow

Detail of Alerts

DP-439207 - AIX JSON Unicode Parsing Issue

A bug has been identified in InterSystems IRIS 2024.3.0 on AIX instances that affects the parsing of JSON Unicode strings. The issue arises when either the %FromJSON() or %FromJSONFile() method

0
0 135