ChatGSPP is an AI-powered chatbot developed by the Goldman School of Public Policy that intelligently navigates information about our faculty, staff, programs, and research initiatives. This interactive demo will showcase how we've implemented a conversational interface that analyzes user queries, retrieves appropriate content from our existing web resources, and delivers responses with proper source attribution.

RSS has developed an innovative AI-driven, no-code, cloud-based platform to revolutionize digital transformation, addressing compliance requirements like accessibility and cyber security. The platform combines no-code development, AI automation, predictive analytics, and natural language data querying. It enables rapid development of web and native mobile solutions.

Our team needed to integrate diverse data streams to dynamically identify patients at risk and proactively distribute tailored resources to empower them to protect their respiratory health. Our team needed to identify when high risk patients with respiratory conditions were experiencing poor air quality caused by wildfire smoke. We worked collaboratively with clinical subject matter experts (SME) to define the appropriate target patient population and air quality thresholds.

This poster will highlight the impact of the APeX Enabled Research (AER) team on implementing clinical and technical innovations at UCSF. The poster will explain the primary goals of the team, volume of project work, and breadth of technologies used to support research innovation. Ideally UC Tech attendees will learn more about what is technically possible today to support research, get inspiration for projects at their organization, get connected with others doing similar work, and lead to future collaboration and innovation across UC campuses.

In this session, we will share our experience migrating our Learning Management System from on-premises to AWS. We will walk through designing a scalable and secure cloud infrastructure using CloudFormation, automating deployments with AWS CodePipeline, orchestrating containers with ECS Fargate, and managing databases with Amazon RDS. The migration process involved moving code via GitHub, files with AWS DataSync, and the database through DBMS export/import.

Our Instructional Design and Technology team was tasked with tracking learning objective achievement in Extension courses to support WASC accreditation. Canvas offers an "Outcomes" feature, but WASC also requires instructors to reflect on how their course design supports student success. While staff could help instructors brainstorm improvements, a more scalable method was needed.

As generative AI rapidly reshapes higher education, faculty are looking for real, ethical, and practical ways to adapt. This session offers a firsthand look at how interdisciplinary courses at UCLA have successfully integrated AI—from biomedical sciences to humanities—while preserving academic integrity and improving student engagement. Attendees will explore proven strategies, tools, and frameworks used to empower faculty, redesign assignments, and support students in becoming critical users of AI.

UC San Diego Health is reimagining how healthcare systems operate by integrating artificial intelligence, automation, and real-time dashboards to improve efficiency, reduce costs, and support high reliability. This session shares how our Clinical Quality Improvement and Patient Safety teams partnered with data and technology experts to streamline manual processes—such as quality measure abstraction and CMS reporting—through the use of large language models and smart dashboards.

The previous SSIS/Python ETL was viewed as antiquated, disjointed and problematic for maintenance and reliability. A modern embedded data solution centered around a user defined data mart which would act as the catalyst for driving informed decision making and supporting prioritized initiatives from executive leaders was seen as the solution. There were two sets of goals, create a self-service data layer for ad hoc questions, a recurring reporting solution and support KPI metric dashboards.

Versa, developed by our AI Tiger Team, is an enterprise-scale AI platform. Meant to secure access to frontier generative-AI (gen-AI) technologies, Versa enhances operations by streamlining text-based workflows for thousands of users. Versa is a platform of products: Versa API supports advanced AI research demands with protected clinical and business data; chatbot-style interactions with LLMs via Versa Chat and Versa Mobile, and our Versa Assistant RAG-based service supports development of dedicated, AI-powered interfaces for protected datastores, knowledgebases, and enterprise content.