Drafting routine announcements took staff 30 minutes. Now, staff use a custom Copilot Agent to generate high-quality drafts in minutes.
A specialized science and engineering university in Japan sought to build a data-driven digital campus but operated with limited IT resources compared to large metropolitan institutions.
Despite recognizing the potential of generative AI, the institution lacked the technical capacity to build a secure, in-house AI environment....
“To remain a university that meets the needs of the times, we must flexibly adapt to change by building a Digital Campus. Specifically, by integrating and effectively utilizing the scattered data within the university, we aim to generate new insights and enhance student services to create new value.”
Public technical university specializing in science and engineering.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Muroran Institute of Technology's Administrative automation is part of this use case:
Related implementations across industries and use cases
150+ siloed AI projects fragmented the campus. Standardizing on Copilot empowered students and staff to securely automate daily workflows.
Manual log reviews and reporting consumed hours. Now, AI assistants help IT and teachers resolve threats and draft reports in minutes.
Manual ethics checks held back research. Now, students and staff co-build AI agents to automate documentation and approvals.
150+ siloed AI projects fragmented the campus. Standardizing on Copilot empowered students and staff to securely automate daily workflows.
Staff were too busy for AI seminars. Now, student ambassadors help them build custom Copilot agents, cutting reporting hours to minutes.
GPU access once depended on each lab's own budget. Now 110 students share simulation GPUs, training robots before risking real hardware.
Deal data scattered across systems kept sellers from districts. AI unified it—leadership moved from retrospective reports to live intel.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Drafting routine announcements took staff 30 minutes. Now, staff use a custom Copilot Agent to generate high-quality drafts in minutes.
A specialized science and engineering university in Japan sought to build a data-driven digital campus but operated with limited IT resources compared to large metropolitan institutions.
Despite recognizing the potential of generative AI, the institution lacked the technical capacity to build a secure, in-house AI environment....
“To remain a university that meets the needs of the times, we must flexibly adapt to change by building a Digital Campus. Specifically, by integrating and effectively utilizing the scattered data within the university, we aim to generate new insights and enhance student services to create new value.”
Public technical university specializing in science and engineering.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Muroran Institute of Technology's Administrative automation is part of this use case:
Related implementations across industries and use cases
150+ siloed AI projects fragmented the campus. Standardizing on Copilot empowered students and staff to securely automate daily workflows.
Manual log reviews and reporting consumed hours. Now, AI assistants help IT and teachers resolve threats and draft reports in minutes.
Manual ethics checks held back research. Now, students and staff co-build AI agents to automate documentation and approvals.
150+ siloed AI projects fragmented the campus. Standardizing on Copilot empowered students and staff to securely automate daily workflows.
Staff were too busy for AI seminars. Now, student ambassadors help them build custom Copilot agents, cutting reporting hours to minutes.
GPU access once depended on each lab's own budget. Now 110 students share simulation GPUs, training robots before risking real hardware.
Deal data scattered across systems kept sellers from districts. AI unified it—leadership moved from retrospective reports to live intel.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.