This session will walk through an AI use case where we needed to deliver a course demand prediction model in 5 weeks. We iterated quickly using one week agile sprints and used Google Cloud tools to accomplish this deliverable. We'll discuss the technical details of the data used in the model, GCP services used, and the end user data & results that we provided.

In today's fast-paced digital landscape, increasing operational costs and inefficiencies pose significant challenges. Microsoft Power Automate Desktop offers a cutting-edge automation solution to streamline workflows, reduce errors, and optimize resource utilization.

Achieving Zero Harm by preventing healthcare-associated infections (HAIs) is a priority for UC Health. The Standardized Infection Ratio (SIR) is the primary measure used by NHSN to risk-adjust HAIs, but access to protected health information (PHI) is restricted, limiting broad data accessibility. Additionally, no dynamic SIR data source existed in the Scuba Data Warehouse for enterprise reporting. To address this, we developed an automated tool, eliminating manual NHSN exports and processing.

Have you ever needed to leverage enterprise systems to streamline answering challenging operational questions?

We have designed a new multi-phased process utilizing DocuSign and our Document Management system, Perceptive Content, to reduce the onboarding process from weeks to potentially less than 24 hours, hence saving the university money by reducing paperwork and collecting all signatures electronically, and also weeks of labor cost to manually enter the data into UCPath System. In Phase 1 of the project, the amount of time between final signature by a new employee and data entry into the UCPath system is now less than 1 hour and could be as fast as 10 minutes.

In September 2023, UCSF launched GenAI Office Hours, led by Academic Research Services and the UCSF Versa Tiger Team. This bi-weekly series fosters community, knowledge sharing, and explores AI applications within UCSF’s diverse workflows. Presenters from the community generously share their experiences and use cases with GenAI tools. Participants span a broad spectrum of roles, including professors, leadership, IT support staff, researchers, educators, and clinical practitioners.

We will present a groundbreaking approach to integrating immersive technologies in higher education.

Scientists want to do science. Some things they don’t want to spend time doing include: - Making a plan for managing their data - Creating README files for their materials - Filling out and updating metadata for research outputs Our team provides tools and services to help make research data FAIR - Findable, Accessible, Interoperable, and Reusable. In this panel, we’ll discuss recent efforts to use Generative AI to help in data curation tasks, and the challenges and opportunities we’ve discovered.

In just one year, our campus-wide generative AI initiative has tripled its user base, serving 15,000 students, faculty, and staff.

UCLA Center for Research in Engineering, Media, and Performance and Advanced Research Computing have collaborated to build a set of cloud-based AI inferencing microservices to support an immersive live production of the musical Xanadu. During the production, audience members interact with the production using an app on their mobile phones that allows them to draw images in the air with cell-phone gestures. Those images are then sent to the AI microservices for real-time inferencing. The inferences are then displayed as 3D meshes on stage-based digital panels during the performance.