Traditional courses left students unprepared to navigate massive codebases. Using AI, they bypass boilerplate to build sophisticated apps.
A top 10 U.S. public university faced surging enrollments and a rapidly aging computer science curriculum.
The software industry shifted toward AI-assisted development, but traditional programming courses were not preparing students for this reality. Only...
“In a recent survey, seventy-seven percent of CS faculty felt that the skills to program have shifted because of the advent of tools such as AI. But only 30% had changed their classes. And so, there is a demand from faculty to shift and to change.”
Public research university and academic medical center.
Enterprise software, cloud infrastructure, and consumer electronics platform.
University of California San Diego's Programming education 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 data cleaning and report drafting bottlenecked workflows. Now, faculty and staff use Copilot to synthesize research and speed admin.
Decades of data were buried in rigid keyword searches. Now, custom AI agents let the campus query millions of records in natural language.
Grading complex code limited student guidance. AI now maps work to rubrics for teacher review, cutting grading time by 50%.
Routine code and junior support bogged down leads. AI now lets juniors work independently, freeing seniors for complex architecture.
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.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Traditional courses left students unprepared to navigate massive codebases. Using AI, they bypass boilerplate to build sophisticated apps.
A top 10 U.S. public university faced surging enrollments and a rapidly aging computer science curriculum.
The software industry shifted toward AI-assisted development, but traditional programming courses were not preparing students for this reality. Only...
“In a recent survey, seventy-seven percent of CS faculty felt that the skills to program have shifted because of the advent of tools such as AI. But only 30% had changed their classes. And so, there is a demand from faculty to shift and to change.”
Public research university and academic medical center.
Enterprise software, cloud infrastructure, and consumer electronics platform.
University of California San Diego's Programming education 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 data cleaning and report drafting bottlenecked workflows. Now, faculty and staff use Copilot to synthesize research and speed admin.
Decades of data were buried in rigid keyword searches. Now, custom AI agents let the campus query millions of records in natural language.
Grading complex code limited student guidance. AI now maps work to rubrics for teacher review, cutting grading time by 50%.
Routine code and junior support bogged down leads. AI now lets juniors work independently, freeing seniors for complex architecture.
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.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.