Generative AI

Summary Real-time and batch X12 HIPAA SNIP validation (Levels 1–7) with payer implementation guide overlays inside the IRIS Management Portal—boosting first-pass acceptance and accelerating partner onboarding. Customer value 8–15% lift in first-...

Problem Changes to productions (new DTLs, rules, adapters, timeouts, upgrades) are risky because test environments rarely mirror real traffic, partner quirks, or peak volumes. Reproducing an incident or validating a partner change requires man...

Problem Operational issues (bad data, unusual traffic spikes, rising error rates) are discovered too late, after queues back up or downstream systems fail. Current Event Log, Message Viewer, and Visual Trace are excellent for investigation, bu...

1️⃣ Description of the idea Some products are often discontinued or deprecated, and this is perfectly normal and natural.However, in many cases, we are not prepared for this change, either by the knowledge to implement the new technology or by the...

Adding Model Context Protocol (MCP) support to your data platform enhances integration capabilities , real-time data access, and scalability while reducing development time and improving security. This investment ensures your platform remains futu...

AI analysis of server error logs to suggest possible issues/solutions and categorize them to generate a daily report. Github Copilot and similar AI engines can provide useful analysis of errors for popular programming languages, it may just need b...

Why is it Useful Natural language to SQL (NL2SQL) generation allows users to interact with databases using plain language, which significantly enhances accessibility and usability. Here are some key reasons why this capability is useful: Ease of U...

While using InterSystems IRIS as a vector first DB, its harder to keep track on the raw information thats been embedded. Though the easier way is to save plain text info also into the DB, it adds load for the higher volume ones and hinders the per...

Using AI, create a summary of the patient's medical history to prevent publish this type of information to a external cloud. That information should be retrieve from tables of medical history.

Integration with LLMs like GPT,llama