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 research university with more than 20,000 students, with operations spanning donor management, course discovery, and campus security distributed across decades of accumulated, siloed institutional data.
Faculty skepticism about AI in the classroom and a teaching model unchanged for over a century made broad adoption uncertain from the start. Decades...
“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 Institutional data platform is part of this use case:
Related implementations across industries and use cases
Manual data cleaning and report drafting bottlenecked workflows. Now, faculty and staff use Copilot to synthesize research and speed admin.
150+ siloed AI projects fragmented the campus. Standardizing on Copilot empowered students and staff to securely automate daily workflows.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
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.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
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 research university with more than 20,000 students, with operations spanning donor management, course discovery, and campus security distributed across decades of accumulated, siloed institutional data.
Faculty skepticism about AI in the classroom and a teaching model unchanged for over a century made broad adoption uncertain from the start. Decades...
“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 Institutional data platform is part of this use case:
Related implementations across industries and use cases
Manual data cleaning and report drafting bottlenecked workflows. Now, faculty and staff use Copilot to synthesize research and speed admin.
150+ siloed AI projects fragmented the campus. Standardizing on Copilot empowered students and staff to securely automate daily workflows.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
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.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.