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artificial intelligence

Re:University Reflections (Part 1): Change Doesn't Always Start at the Top

Universities are being asked to perform a difficult balancing act: reframe and defend the importance of their work, become more cost-effective, align more closely with labour market and national needs, and navigate rapid change enabled by AI. None of this is easy. Much of it is uncomfortable.

Looking Back at AI-Cademy and Looking Ahead to Re-University

Institutions, faculty members, and students have learned where AI can assist and where it isn't ideal. This technology is advancing so fast that what we knew yesterday could change tomorrow. But it's likely here to stay, so we should figure out how we leverage it and where we don't.

Setting Enrolment Targets in Higher Education - Part 4: How Predictive Modelling and AI are Transforming Enrolment Planning

Enrolment Forecasting is fundamentally a predictive modelling process: given a series of inputs, what are the outputs likely to be? But enrolment target setting is a little different. It’s a human process, informed by data: what is our strategic goal, and how do we get there?

AI-Cademy Canada: Five Takeaways on AI in Higher Education

AI is changing everything in higher education, but that doesn’t mean every institution needs to dive in headfirst. Thoughtful, strategic adoption is key. At Plaid Analytics, we’re working with universities to ensure AI is useful, ethical, and impactful.