Machine Learning

Machine Learning, a subset of artificial intelligence, is a rapidly advancing technology that is being actively developed by all major technology companies.  Higher education is also beginning to look at the implications of moving beyond simple search results to systems that can advise, direct, and respond to students.

• Adaptive, Predictive, and Responsive
• Intelligent systems that can provide automated services and information appropriate to the context or need
• Already here with Siri, Cortana, Alexa, Watson, Einstein…and many more
• Providing a host of services from search/information to automated controls
• Learning, responding to, and enhancing services that improve our daily lives

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What is IITS already doing related to machine learning?

• Web search - improve search engine
• Degree Planner (Smart Planner) - identify course demand, become a trusted student resource, and streamline the path to graduation for students
• Reporting and Data Analytics Repository (RaDAR)

Who else might we need to bring into a conversation about machine learning?

• Information Security - privacy - access to student data
• Personalization

What may need to be expanded in terms of services, systems, etc. if machine learning surfaces as a key area of focus from campus stakeholders?

• Application user awareness

What are our internal assets and challenges to meet machine learning needs, if adopted?

• We have faculty and graduate students with this expertise.

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What are people asking for? What issues are IITS aware of?

• End user help - provide more self-service, virtual help desk assistance and troubleshooting
• Privacy
• Allow Opt-in/Opt-Out