InterSystems UKI Tech Talk: Developing an AI Powered IRIS Application, in Python

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To kick off the series, this Tech Talk explores three main Python use-cases in the context of a customer-facing application, simulating an environment where users can post and retrieve data, as well as qualitative summary reports of their data generated by a Large Language Model (LLM). We will also look at building an analytics layer on our IRIS database to explore with Python.

The ‘use-cases’ are:

Building a Python REST interface integrated with IRIS for running CRUD operations natively.
Using embedded Python to harness LLMs for qualitative analysis of structured data.
Performing data exploration / analysis on IRIS databases from Python.

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