By now, you’ve probably seen a few posts on this blog that deal with topics like data literacy, the performance of artificial intelligence in various tasks, and the one level of analytic comprehension that non-analysts need to have to stand out in data analytic cultures. Seems like kind of a hodge-podge of materials, right? Let
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I’ve written previously about the growing need for business professionals with strong data literacy skills. This post explains the one thing you should focus on to understand data analysis and effectively work in a data analytic culture.
The One Thing Non-Analysts Need to Learn to Stand Out in Data Analytic Cultures Read More
For nearly a year now, the world has been captivated by the power and potential of generative artificial intelligence (AI) and large language models (LLMs). Whether the task has been generating artistic renderings in the style of Salvador Dali, generating music from the brainwaves of patients during surgery, or simply generating your next email, the
How Well Did AI Do It? Software Engineering Edition Read More
Data literacy is one of those concepts we all understand on some level. We’ve probably all sat through a meeting where one of our colleagues just didn’t seem to get the point that was being presented on a slide deck by one of the data people. Whether that is the fault of the viewer in
Essential Elements to Target for Your Data Literacy Read More
