Have you ever wondered which type of math or project has generated the most value for your company? I’m curious to know if there’s a particular area of data science that has saved or made tons of money for your organization. For instance, I used Bayesian inference to determine the best insurance policy for my company, and I consider that my highest ROI project.
I’ve found that machine learning often promises a lot but delivers little, while causal inference is starting to show some promising results. But I’m eager to hear from others – what’s the math that has paid off for you?
Is it a clever application of linear algebra that streamlined your operations? Or perhaps a well-crafted statistical model that predicted customer behavior? Whatever it is, I’d love to hear about it and learn from your experiences.
Share your stories of how math and data science have generated a high return on investment for your company. Let’s learn from each other and uncover the most valuable applications of data science in the industry.