A compelling quote from the article is: “Instead of using the immense power of GenAI to reimage entire businesses, most organizations are only using it to help them work a little faster—write content a little faster, code a little faster and summarize meetings a little faster. However, making those horses go a little faster won’t truly transform anything.” This encapsulates the central argument that simply speeding up existing processes with GenAI does not achieve true transformation, reflecting a call for more innovative uses of the technology.
In an insightful piece by Buyan Thyagarajan, explore how leveraging GenAI can transform student inquiries in higher education. The article delves into using large language models to enhance self-service, manage unstructured data, and implement feedback loops with radical transparency. This is a forward-thinking approach that aligns with how technology can drive efficiency and innovation in educational settings. Dive into this thought-provoking strategy for digital transformation in academia.
“Universities dealing with student inquiries must handle them promptly, and they should be …
