IBM Showcase August 2025

From Potential to Production: Enhancing Student Interactions with GenAI at UoA

Welcome to the Showcase

From Potential to Production: Enhancing Student Interactions with GenAI at University of Auckland

presented by IBM

 

Join University of Auckland (UoA) and IBM to examine how you can move from experimentation to execution and ensure your GenAI programs deliver meaningful, measurable impact. 

We'll guide you through a case study of UoA's GenAI assistant, from PoC to full-scale production. We'll explore the foundations needed for GenAI success applicable across any industry: an enterprise-ready technology platform, a mature AI operations lifecycle, and strong regulatory guardrails for GenAI governance and real-time risk mitigation.

You’ll learn how these solutions safeguard a GenAI assistant serving over 50,000 users to deliver enhanced student satisfaction and a more efficient business, at scale.

About
IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalise on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity, and service. 
For more information, visit their website.

 

Join this CAUDIT Hosted Webinar
 

When: Thursday 21 August 1pm - 2pm AEST
Where: Online via Zoom Webinar

Request your calendar invite here - coming soon!

For CAUDIT Members only
 


Presented by IBM

Sherry Yu, Generative AI Lead Engineer

 

Guest Speaker

Massimiliano Berimballi, Lead AI Conversation Designer, University of Auckland

 

Hosted by CAUDIT

Steve Johnston, Director of Strategic Procurement


IBM contact details:

Name: Sherry Yu, Generative AI Lead Engineer
Email: Shuang.Yu@ibm.com
Phone: +61 425 404 220
 

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Start Date

21 Aug 2025

End Date

21 Aug 2025

Time

03:00 - 04:00

based on your local time

Location

Online Via Zoom Webinar

Event Type

Webinar

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