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Technology · Newark

Artificial Intelligence Brings New Perspective to NJIT Institutional Data Sources

Source: NJIT News · Jul 28, 2026, 8:00 AM

AI-assisted briefing from the publisher’s public headline and excerpt — not original reporting. How we write briefings

Artificial Intelligence Brings New Perspective to NJIT Institutional Data Sources news image

New Jersey Institute of Technology has introduced IRIS (Institutional Resource Intelligence System), an artificial intelligence-powered interface designed to streamline how students, faculty, and staff access institutional data.

Rather than manually searching through multiple databases, NJIT community members can now use the AI layer to quickly retrieve information they need, with the system potentially surfacing unexpected insights.

The new platform is now available to the NJIT community and represents the university's effort to modernize how it manages and delivers information to its users.

Key points

  • NJIT introduced IRIS, an AI-powered system for accessing institutional data resources
  • The system enables faster information retrieval compared to manual searching methods
  • IRIS is designed to serve the entire NJIT community including students, faculty, and staff
  • The AI interface may provide unexpected insights alongside standard data queries
  • The platform is currently available to NJIT users

FAQ

What is IRIS and why did NJIT create it?
IRIS (Institutional Resource Intelligence System) is an AI-powered interface that helps NJIT community members access institutional data faster and more efficiently than traditional manual searches. The system was created to improve how students, faculty, and staff find the information they need.
Who can use IRIS?
IRIS is available to anyone in the NJIT community, including students, faculty, and staff members who need to access institutional data resources.
How does IRIS improve upon manual data searching?
IRIS uses artificial intelligence to deliver requested information faster than manual searching and may provide unexpected insights alongside the data, enhancing the research and information discovery experience.

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