Floating-point precision refers to the accuracy and consistency with which computers represent and manipulate decimal numbers using binary formats. Understanding floating-point precision is crucial in the tech community because it directly impacts the reliability and performance of numerical computations in various fields, including scientific simulations, data analysis, and machine learning, where small errors can have significant consequences.