In this talk I will review some of the recent investigations on the numerical approximation of the solutions to parametric eigenvalue problems. It is known that one of the challenges is the lack of regularity of the solutions due, in particular, to the possible crossing of the eigenvalues as a function of the parameters. Our studies show that data driven algorithms are an effective alternative to more traditional model order reduction techniques.