#Artificial Intelligence (AI)

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Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

Learn more.

Hey Community!

We're happy to share the next video in the "Code to Care" series on our InterSystems Developers YouTube:

⏯ Explaining Agentic AI Through Automated Bug Fixing

https://www.youtube.com/embed/K8XhU27b5Po
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In the previous article, we saw how to build a customer service AI agent with smolagents and InterSystems IRIS, combining SQL, RAG with vector search, and interoperability.

In that case, we used cloud models (OpenAI) for the LLM and embeddings.

This time, we’ll take it one step further: running the same agent, but with local models thanks to Ollama.

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Plug-N-Play on Pattern Match WorkBench

Article to announce pre-built pattern expressions are available from demo application.

AI deducing patterns require ten and more sample values to get warmed up.

The entry of a single value for a pattern has therefore been repurposed for retrieving pre-built patterns.

Example: Email address

Paste an sample value for example an email address in description and press "Pattern from Description".

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Announcement
· Sep 1
[Demo Video]

#InterSystems Demo Games entry

This demo introduces an AI-powered clinical decision support tool built on InterSystems IRIS. The use case addresses clinician burnout by unlocking the wisdom trapped in 30,000 unstructured clinical notes. We showcase IRIS's powerful vector search to perform hybrid (semantic + keyword) queries for complex diagnostic challenges. The highlight is our multi-modal Retrieval-Augmented Generation (RAG) assistant, which analyzes clinical video content in real-time to find similar past cases and synthesize evidence-based recommendations, transforming how clinicians access and utilize institutional knowledge.

🗣 Presenter: @Vishal Pallerla, Sales Architect, InterSystems

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Hey Community!

We're happy to share the next video in the "Code to Care" series on our InterSystems Developers YouTube:

⏯ When AIs Debate: Agentic AI in Action with Math Problems

https://www.youtube.com/embed/sWG6PuRYT6o
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#InterSystems Demo Games entry

⏯️ Copilot for InterSystems Embedded BI

The Co-Pilot enables you to leverage InterSystems BI without deep knowledge in InterSystems BI. You can create new cube, modify existing cubes or leverage existing cubes to plot charts and pivots just by speaking to the copilot.

Presenters:
🗣 @Michael Braam, Sales Engineer Manager, InterSystems
🗣 @Andreas Schuetz, Sales Engineer, InterSystems
🗣 @Shubham Sumalya, Sales Engineer, InterSystems

https://www.youtube.com/embed/LSieoGzLFE4
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#InterSystems Demo Games entry

⏯️ AI Smart Data Fabric

Shows how IRIS for Health can supercharge AI development with a Smart Data Fabric to train and feed their AI Models.

Presenters:
🗣 @Kevin Kindschuh, Senior Sales Engineer, InterSystems
🗣 @Jeffrey Semmens, Sales Engineer, InterSystems

https://www.youtube.com/embed/NEobey9l488
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Customer support questions span structured data (orders, products 🗃️), unstructured knowledge (docs/FAQs 📚), and live systems (shipping updates 🚚). In this post we’ll ship a compact AI agent that handles all three—using:

  • 🧠 Python + smolagents to orchestrate the agent’s “brain”
  • 🧰 InterSystems IRIS for SQL, Vector Search (RAG), and Interoperability (a mock shipping status API)

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#InterSystems Demo Games entry

⏯️ Autonomous Business Intelligent Clerk (ABiC) - Combining InterSystems BI and Generative AI

Our Autonomous Business Intelligent Clerk, or ABiC for short, is a prototype revolutionizing how companies process data and make decisions. Normally, to get insights from data, you’d need IT knowledge or expertise in statistics. But with ABiC, that’s no longer necessary. All you have to do is ask your question in plain language. ABiC understands your interests and intentions, then shows a clear dashboard to guide your decisions. With ABiC, complex data is autonomously analyzed and turned into answers that support users, helping to accelerate business processes. This demo sends the metadata of InterSystems BI cubes to LLM. How does it work? Check out the video for more details!

Presenters:
🗣 @Tomo Okuyama, Sales Engineer, InterSystems
🗣 @Nobuyuki Hata, Sales Engineer, InterSystems
🗣 @Tomoko Furuzono, Sales Engineer, InterSystems
🗣 @Mihoko Iijima, Training Sales Engineer, InterSystems

https://www.youtube.com/embed/vSTcYuEN678
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