Decades of data were buried in rigid keyword searches. Now, custom AI agents let the campus query millions of records in natural language.
A private New York research university with more than 20,000 students sought to modernize decades of accumulated institutional data across advising, fundraising, and campus operations.
The institution faced a dual challenge of updating a century-old classroom teaching model and untangling complex, undocumented data relationships....
“Whether there are 200 students or 15 students, the problem is always reaching every student, where they are. Some students believe the content is moving too fast, some too slow. You can't individualize it.”
Private research university offering undergraduate, graduate, and professional programs.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Syracuse University's Internal data search is part of this use case:
Related implementations across industries and use cases
Large lectures prevented individual feedback. Now, professors use AI to grade typed practice exams, delivering tailored coaching at scale.
Manual data cleaning and report drafting bottlenecked workflows. Now, faculty and staff use Copilot to synthesize research and speed admin.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Manual ethics checks held back research. Now, students and staff co-build AI agents to automate documentation and approvals.
Acquisitions scattered critical data across 36+ companies. Now, a principal AI agent routes employee queries to specialized sub-agents.
Siloed spreadsheets held back research for years. AI now scans 100M+ data points to guide wound care, cutting analysis cycles to weeks.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Decades of data were buried in rigid keyword searches. Now, custom AI agents let the campus query millions of records in natural language.
A private New York research university with more than 20,000 students sought to modernize decades of accumulated institutional data across advising, fundraising, and campus operations.
The institution faced a dual challenge of updating a century-old classroom teaching model and untangling complex, undocumented data relationships....
“Whether there are 200 students or 15 students, the problem is always reaching every student, where they are. Some students believe the content is moving too fast, some too slow. You can't individualize it.”
Private research university offering undergraduate, graduate, and professional programs.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Syracuse University's Internal data search is part of this use case:
Related implementations across industries and use cases
Large lectures prevented individual feedback. Now, professors use AI to grade typed practice exams, delivering tailored coaching at scale.
Manual data cleaning and report drafting bottlenecked workflows. Now, faculty and staff use Copilot to synthesize research and speed admin.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Manual ethics checks held back research. Now, students and staff co-build AI agents to automate documentation and approvals.
Acquisitions scattered critical data across 36+ companies. Now, a principal AI agent routes employee queries to specialized sub-agents.
Siloed spreadsheets held back research for years. AI now scans 100M+ data points to guide wound care, cutting analysis cycles to weeks.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.