  The Gaia mission will have a profound impact on our understanding of the
structure and dynamics of the Milky Way. Gaia is providing an exhaustive census
of stellar parallaxes, proper motions, positions, colors and radial velocities,
but also leaves some flaring holes in an otherwise complete data set. The
radial velocities measured with the on-board high-resolution spectrograph will
only reach some 10% of the full sample of stars with astrometry and photometry
from the mission, and detailed chemical information will be obtained for less
than 1%. Teams all over the world are organizing large-scale projects to
provide complementary radial velocities and chemistry, since this can now be
done very efficiently from the ground thanks to large and mid-size telescopes
with a wide field-of-view and multi-object spectrographs. As a result,
automated data processing is taking an ever increasing relevance, and the
concept is applying to many more areas, from targeting to analysis. In this
paper, I provide a quick overview of recent, ongoing, and upcoming
spectroscopic surveys, and the strategies adopted in their automated analysis
pipelines.
