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X-WR-CALDESC:Higher Education Information Technology South Africa
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DTSTART:20261113T222812
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UID:MEC-2e970f99fa7f2805d8be0cc8a73f770f@heitsa.tecdev.co.za
DTSTART;TZID=Africa/Johannesburg:20260505T150000
DTEND;TZID=Africa/Johannesburg:20260505T160000
DTSTAMP:20260413T084925Z
CREATED:20260413
LAST-MODIFIED:20260413
PRIORITY:5
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TRANSP:OPAQUE
SUMMARY:Info-Tech Webinar: Assess Agentic AI Use Case for Higher Education
DESCRIPTION:\n\n\n\nTOPIC\n\n\nAssess Agentic AI Use Case for Higher Education\n\n\n\n\nSPEAKER(S)\n\n\nMark Roman (Managing Partner)\nMark Maby (Principal Research Director)\n\n\n\n\nSPEAKER(S) BIO\n\n\nMark Roman is the Managing Partner for Education and works with members throughout the higher education and K-12 sectors around the world. He is responsible for the delivery of Info-Tech services to members and the alignment of research with the education sector’s needs.\nMark Maby’s research has focused on technology trends, IT governance, and the selection of new systems in the education space. In his onsite client engagements, Mark has worked on the development of strategies at both the IT and enterprise architecture levels.\n\n\n\n\nABSTRACT\n\n\nWhile Education institutions have the ambition to implement agentic AI, they need to pursue it with a structured method for matching opportunity to readiness.\nEducational institutions are facing increasing administrative workloads, enrollment competition, and student support demands. Agentic AI presents a viable solution to alleviate these pressures. Institutions that fail to adopt AI risk falling behind those already reaping its benefits.\nOften, institutions recognize the potential of agentic AI but hesitate to commit due to the fear of wasted resources and loss of stakeholder trust from a potential failed first deployment. There is a significant gap between acknowledging the opportunity of agentic AI and actually executing on it. Failing to act on agentic AI can lead to wasted resources and a loss of stakeholder trust.\nInfo-Tech provides a method for identifying suitable agentic AI opportunities from both a top-down approach, by selecting from case studies, and a bottom-up approach, by identifying opportunities through analysis of institutional capabilities. Use a maturity framework to understand both the complexity and the risk associated with different AI opportunities.\nSelect with confidence a specific agentic AI opportunity to pilot.\n\n\n\n\nPlease extend this invitation to any other interested parties at your university\n\n\n\n\n
URL:https://heitsa.tecdev.co.za/events/onfo-tech0021520264-webs214/
LOCATION:Online via MS Teams
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