OIT AI-Automation Working Group
The Office of Information Technologies (OIT) has formed a working group to explore generative AI and the opportunities to improve operational efficiencies and automate routine operational tasks.
Goals
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Project Prioritization and Roadmap: Develop a prioritized list of potential AI/Automation projects, along with a timeline and estimated costs for implementation.
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Measurement and Evaluation: Identify metrics and KPIs for evaluating the success of the AI/Automation implementation.
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Legal Aspects: Identification and reporting of risks is in scope, but rewriting policies is out of scope for this working group and will be evaluated at the university level.
Usage Focus
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Assessment of Current State: An analysis of the current state in terms of AI/Automation maturity, including an inventory of any existing uses, capabilities, resources, skills, and technologies.
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Market Analysis: A study of AI/Automation tools and trends in the industry.
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Risk Management: Identify potential risks and challenges associated with AI/Automation tools, including technical, operational, and cultural risks, and strategies for mitigation.
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Education, Governance, and Policy: Determine the user education and policies that should govern the use of AI/Automation tools within IT.
Innovation Focus
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Identification of AI/Automation Opportunities: Identify specific areas where AI/Automation can add value. (Collecting ideas)
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Technical Requirements: Specifications of the AI/Automation technologies, infrastructure, and data resources needed.
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Skill and Talent Management: A plan for attracting, developing, and retaining AI/Automation talent, which could include internal training, recruiting strategies, or partnerships with external organizations.
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Proof of Concept: Identify and perform proof of concepts (test beds) to validate assumptions and to gain additional insight into potential opportunities
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Data: Determine the tools and techniques necessary to prepare data for use in AI/Automation use cases
Deliverables
The working group will prepare an initial report to the IT leadership by Spring 2024.
Members
- John Buysse
- Tony Rimovsky
- Brandon Rich
- Justin Howell
- Kael Kanczuzewski
- Kaitlyn Barbour
- Kendall Smith
- Caela Kleber
- Jasmine DeWitt
- Chris Gillis
- Emily Scott
- Jaime Preciado- Beas
- Jim Baad