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- Knowledge Base
- Infrastructure
- AI (Artificial Intelligence)
The OIT AI Tools Matrix compares approved AI tools for the UTD community, highlighting providers, models, costs, data protections, capabilities, eligible users, and allowed data classification levels-serving as a single reference for compliant AI usage decisions.
- Knowledge Base
- Infrastructure
- AI (Artificial Intelligence)
- CometAI
This article provides an overview of the connectors currently available in CometAI, guidance on how to use them effectively, and a roadmap for future connectors.
- Knowledge Base
- Infrastructure
- AI (Artificial Intelligence)
- CometAI
This article covers all the updates happening in CometAI for the Year 2026.
- Knowledge Base
- Infrastructure
- AI (Artificial Intelligence)
- CometAI
This article outlines the CometAI 3.2 update for UT Dallas' AI platform, highlighting new model options (including Claude Opus 5, GPT-5.6, and Grok 4.6), a new default model (Aspire - Gemma 4-31B), two new advanced reasoning modes (xHigh and Max), the retirement of legacy models, and channels for reporting issues or attending upcoming office hours.
- Knowledge Base
- Communication and Collaboration
- Microsoft 365 Applications
- Microsoft Teams
This article covers the risks while using third-party AI chatbots like Otter.AI or Read.AI at UT Dallas, as they're not supported by OIT. These tools could expose sensitive information, such as FERPA or HIPAA data, and have legal risks.
- Knowledge Base
- Communication and Collaboration
- Microsoft 365 Applications
- Microsoft Teams
This article is for identifying, informing, and removing Read.ai transcription services and data.
- Knowledge Base
- Communication and Collaboration
- Microsoft 365 Applications
- Microsoft Copilot
This article provides key points regarding Copilot.
- Knowledge Base
- Infrastructure
- AI (Artificial Intelligence)
This article provides an overview of Artificial Intelligence (AI) and Generative AI in higher education, highlighting their key benefits, along with challenge, & reliability concerns. It also outlines UT Dallas -specific guidance, including best practices, responsible usage recommendations, institutional guidelines, and available AI tools to support faculty, staff, and students.
- Knowledge Base
- Infrastructure
- AI (Artificial Intelligence)
Explore the list of available AI products and environments from OIT-approved cloud service providers.
- Knowledge Base
- Infrastructure
- AI (Artificial Intelligence)
This article explains Retrieval Augmented Generation (RAG) Agents—AI systems that combine information retrieval with generative models to deliver accurate, context-rich responses. It outlines UTD’s support for using such tools responsibly, details their capabilities, and offers best practices for ethical and effective use. It also provides guidance on how to access approved RAG services through UTD.
- Knowledge Base
- Infrastructure
- Cloud Infrastructure
- Microsoft Azure
View the complete guide to requesting OpenAI solutions for your project.