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

Spark is a student-centered web application combining rich student data, Canvas data, and student support resources into a secure, personalized dashboard aimed squarely at helping students succeed in their desired academic pathways. In this session, we will explain - how we architected Spark in C# .NET to be campus-portable - how we utilized the Unizin Data Platform to integrate and normalize data from the SIS and LMS. - how we built the Canvas LTI integration - challenges and solutions - our AWS Cloud infrastructure - our plans for the future and increasing scalability

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.

UCLA Health has embarked on an ambitious multi-year effort to replace an extensive collection of fragmented legacy data platforms with a unified cloud-based analytics infrastructure powered by Microsoft Fabric. In this session, technical and strategic leaders from UCLA and Microsoft will detail how this transition is fundamentally reshaping the organization’s data capabilities—enhancing data performance, minimizing redundancy, and significantly accelerating analytical insights.

In an era of operational unpredictability, climate disruptions, and escalating cyber threats, a robust Disaster Recovery Plan (DRP) is not optional, it is existential. This session introduces a structured ISO-style review framework for evaluating DRPs against the University of California's IS-12 policy. Through a practical checklist covering both procedural and technical dimensions, participants will learn to assess alignment with institutional goals, identify gaps, and verify the presence of cybersecurity risk considerations.

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

Our institution has launched an innovative collaboration between our generative AI solution and a student-led cybersecurity club, setting new standards for AI security testing and student engagement in real-world challenges. Key aspects: Unique partnership: Students access pre-release code in staging environments Comprehensive testing methods: Input boundaries, system prompt extraction, web application security, LLM, jailbreaking Focus on AI-specific vulnerabilities: Exploring unique risks posed by AI systems Educational impact: Hands-on experience in penetration testing for students Real-wor

Our institution's IT department has launched an innovative AWS Credits Portal, revolutionizing student access to cloud computing resources.

We’ve developed a novel AI tool that creates course-specific, instructor-guided AI interactions, setting a new standard for responsible AI integration in higher ed. Key Features and Impact: Tailored learning: Instructors upload course materials for relevant AI interactions Improved academic integrity: Provides a sanctioned, course-specific AI tool Instructor empowerment: Allows guided AI integration in teaching Collaborative approach: Fosters student-instructor AI utilization Our pilot demonstrated significant engagement, with 5-10 AI conversations per assignment.

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