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 researchers need the ability for an uninterrupted workflow. Many times, IT creates a roadblock for the ability to install and update research software. Researchers then need to reach out to IT with administrative rights to install or update research software creating delays for timely deadlines like grant writing or after-hours support. Privilege Access Manager (PAM) allows researchers temporary elevated access to install and update software on their own time, saving time and resources.

The UC Residency Determination Project addresses the challenge of accurately determining residency status for incoming undergraduate students. This session will explore how we've implemented an AI-powered solution using Google's Gemini to analyze student documents and answer administrative questions, significantly streamlining the process. We'll discuss the project's architecture, the benefits of AI in handling large volumes of personal data, and the impact on efficiency, accuracy, and student experience.

As research regulations grow more complex, ensuring high-quality IRB (Institutional Review Board) submissions is more critical—and more time-consuming—than ever. In this session, learn how UCSF is partnering with Huron to co-develop an AI wrapper that enhances the Huron IRB system by validating determinations, automating checklists, and flagging compliance gaps for FDA-regulated research, with the ultimate goal of reviewing the entire application prior to its submission. But this session isn’t just for IRB professionals—anyone working with complex systems can learn from our approach.

This proof of concept integrates Large Language Models (LLMs) with Oracle PeopleSoft Campus Solutions to enable natural language querying of class and course data, democratizing access to data. PeopleSoft manages essential student records and supports critical academic processes. This prototype, built with Python, LangChain, the ChatGPT API, Streamlit, prompt engineering, and schema transformation, offers a chatbot-style interface for users who may not be SQL experts to access data.

In today's fast-paced software landscape, IT professionals and their training counterparts face a daunting challenge: the constant demand for high-quality learning content coupled with limited bandwidth and resources. For many teams, the process of creating and sustaining comprehensive resource documents, especially those requiring screenshots, can be a time-consuming and tedious endeavor. Our experienced Change Management + Media Innovation team will share their success story of leveraging Scribe to create over 200 how-to guides and resource pages with over 20,000 views in less than a year.

This presentation provide an introductory overview to new AI 'Deep Research' Tools and Reasoning Models (OpenAI Deep Research, Anthropic 3.7, Grok Deep Research, Deep Seek R1, Gemini Deep Research and Perplexity Deep Research). The session will benchmarking models and providing best in class use cases across different academic disciplines for suitability and use value from STEM (Science Technology Engineering and Math) to Social Sciences and Humanities disciplines.

At UCLA, academic technology teams partnered with the Teaching and Learning Center to analyze instructor user stories on media use within the Canvas LMS. With awarded OpenAI licenses, the teams leveraged AI to organize and code interview data, uncovering key insights into how media enhances lectures, assessments, student projects, and active learning. Through strategic prompt engineering, raw interviews were transformed into actionable themes.

Tired of the time-consuming process of crafting user stories? In this session, we'll explore how AI can revolutionize your user story development. We'll delve into real-world examples, like the "eFile Plus" project, where AI was successfully used to generate user stories, resulting in increased efficiency and improved project outcomes.