EPISODE · May 4, 2026 · 43 MIN
Gemini Enterprise: The New Front Door to AI Agents for Every Researcher, Student, and Administrator
from ASU+GSV Summit Sessions · host ASU+GSV
Recorded live at the 2026 ASU+GSV Summit in San Diego, this session featured Charles Elliott, Head of Industry Architects at Google Public Sector.The session explored how Gemini Enterprise served as a single hub for building, orchestrating, and sharing AI agents across the academic community. Charles Elliott examined how these agents represented a major opportunity to amplify institutional and learner productivity by autonomously managing tasks ranging from routine administrative functions to complex academic and research workflows.As academia increasingly deployed autonomous agents to scale and enhance institutional processes, the conversation focused on how the challenge shifted toward agent integration and communication. Through a live demonstration, the session showcased how agents could collaborate across the siloed systems common in higher education, highlighting how interoperability—regardless of vendor or framework—could increase autonomy, multiply impact, and lower long-term costs.The session detailed how “Deep Research” agents could compress research timelines from weeks to seconds by synthesizing archives, analyzing data, and running simulations to accelerate discovery. It also explored how connecting core systems could unify campus intelligence, enabling administrators to ask complex questions and receive data-driven answers without coding, while empowering faculty to build custom agents that provided adaptive, personalized support for students from enrollment to employment. This conversation highlighted a new front door to AI-enabled productivity, innovation, and institutional transformation.
What this episode covers
Recorded live at the 2026 ASU+GSV Summit in San Diego, this session featured Charles Elliott, Head of Industry Architects at Google Public Sector.The session explored how Gemini Enterprise served as a single hub for building, orchestrating, and sharing AI agents across the academic community. Charles Elliott examined how these agents represented a major opportunity to amplify institutional and learner productivity by autonomously managing tasks ranging from routine administrative functions to complex academic and research workflows.As academia increasingly deployed autonomous agents to scale and enhance institutional processes, the conversation focused on how the challenge shifted toward agent integration and communication. Through a live demonstration, the session showcased how agents could collaborate across the siloed systems common in higher education, highlighting how interoperability—regardless of vendor or framework—could increase autonomy, multiply impact, and lower long-term costs.The session detailed how “Deep Research” agents could compress research timelines from weeks to seconds by synthesizing archives, analyzing data, and running simulations to accelerate discovery. It also explored how connecting core systems could unify campus intelligence, enabling administrators to ask complex questions and receive data-driven answers without coding, while empowering faculty to build custom agents that provided adaptive, personalized support for students from enrollment to employment. This conversation highlighted a new front door to AI-enabled productivity, innovation, and institutional transformation.
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Gemini Enterprise: The New Front Door to AI Agents for Every Researcher, Student, and Administrator
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