AWS re:Invent 2025 - UCLA’s AI Assistant: Reimagining Student Success with Kyndryl & AWS (AIM349)

Summary of AWS re:Invent 2025 - UCLA's AI Assistant: Reimagining Student Success with Kyndryl & AWS

Addressing the Public Sector Challenges with AI

• Over 50% of citizens are frustrated with accessing public systems, creating a large gap between public and private sector experiences
• 80% of state and local government budgets are spent on maintaining legacy systems, leaving little room for modernization and transformation
• Kyndryl is leveraging AI to help public sector organizations reduce support costs, increase stability, improve security, and deliver better citizen experiences

Kyndryl's Agentic AI Framework

• Ingestion of structured and unstructured data from diverse sources (e.g., source code, security policies, operational procedures)
• Agent builder that deploys intelligent agents for specific business functions, automating tasks, making decisions, and adapting based on context
• Agent catalog - a centralized repository of reusable AI agents to enable scalable deployment across the organization
• Enables a proactive, AI-native operating model

Reimagining Student Success at UCLA Anderson

• Challenges faced:
  • Securing and protecting sensitive student data
  • Integrating data from disparate systems (student records, career placement, clubs, course catalog)
  • Developing a user-friendly interface to provide a personalized roadmap for students
• Key Approach:
  • Formed a cross-functional AI task force (faculty, staff, students) to ideate and drive the initiative
  • Focused on quick time-to-value use cases rather than boiling the ocean
  • Architected the environment to strictly adhere to the university's information security policies
• Future Improvements:
  • Leveraging more advanced AI capabilities like agent-to-agent handoffs and no-code/low-code AI tools
  • Continuing to iterate and fail fast to adapt to the rapidly changing AI landscape

Trends and the Future of Agentic AI

• Enterprises are increasingly ready to adopt agentic AI, but data access and trust remain key challenges
• Lightweight, adaptable AI frameworks that can keep up with the rapid pace of technology changes are crucial
• Organizational change management and aligning AI initiatives with business outcomes are critical for successful adoption
• AI-powered services that address data access, agent governance, and observability will enable greater trust and adoption

Key Takeaways

• AI can significantly improve public sector and educational experiences by automating tasks, enhancing decision-making, and delivering personalized services
• Successful AI transformation requires a cross-functional approach, a focus on quick wins, and a strong emphasis on data security, privacy, and user experience
• Agentic AI frameworks that are adaptable and can integrate with diverse data sources are key to future-proofing AI initiatives
• Organizational change management and aligning AI with business goals are essential for driving AI adoption and realizing tangible benefits