Introduction
InterSystems IRIS Adaptive Analytics is an optional extension that provides a business-oriented, virtual data model layer between InterSystems IRIS and popular Business Intelligence (BI) and Artificial Intelligence (AI) client tools. Adaptive Analytics is powered by AtScale, the AtScale documentation can be found at this link: https://documentation.intersystems.atscale.com

This article will showcase some AtScale features that can facilitate data analysis:

1. Cube creation
2. Excel visualization
3. Parallel Period
4. Queries
5. Snowflake
6. Security

7. Aggregates

READY is right around the corner, and this year the Application Services team from InterSystems will be hosting a Embedded Git Users GroupMeeting during the conference!This will be held Thursday, April 30^th during breakfast from 7:30 – 8:30 (breakfast will be served at the meeting room starting at 7:00am).

READY is right around the corner, and this year the Application Services team from InterSystems will be hosting a IPM Users GroupMeeting during the conference!This will be held Wednesday, April 29^th during lunch from 12:30 – 1:30 (lunch will be served at the meeting room).

READY is right around the corner, and this year the Application Services team from InterSystems will be hosting a CCR Users GroupMeeting during the conference!This will be held Wednesday, April 29^th during breakfast from 7:30 – 8:30 (breakfast will be served at the meeting room starting at 7:00am).

The 2025.1.4 and 2024.1.6 maintenance releases of InterSystems IRIS^® data platform, InterSystems IRIS^® for Health, and InterSystemsHealth Connect™ are now Generally Available (GA). These releases include the fixes for a number of recently issued alerts and advisories, including the following: 

• April 15, 2026 – Alert: Removal of InterSystems IRIS for Health and Health Connect 2024.1.4 and 2024.1.5 Due to Health Interoperability Issues | IDC

Summary

Issue

• The impacted versions of InterSystems IRIS for Health and Health Connect are being removed from WRC distribution sites due to issues identified in several FHIR and healthcare interoperability features.

We didn't start with a big AI strategy.

We had a legacy InterSystems Caché 2018 application, a lot of old business logic, and a practical need: build a new UI and improve code that had been running for years. At first, I thought an AI coding agent would help only with a small part of the work. Maybe some boilerplate, some REST work around the system, and a bit of help reading old ObjectScript.

In practice, it became much more than that.