  Artificial Intelligence for IT Operations (AIOps) is an emerging
interdisciplinary field arising in the intersection between the research areas
of machine learning, big data, streaming analytics, and the management of IT
operations. AIOps, as a field, is a candidate to produce the future standard
for IT operation management. To that end, AIOps has several challenges. First,
it needs to combine separate research branches from other research fields like
software reliability engineering. Second, novel modelling techniques are needed
to understand the dynamics of different systems. Furthermore, it requires to
lay out the basis for assessing: time horizons and uncertainty for imminent SLA
violations, the early detection of emerging problems, autonomous remediation,
decision making, support of various optimization objectives. Moreover, a good
understanding and interpretability of these aiding models are important for
building trust between the employed tools and the domain experts. Finally, all
this will result in faster adoption of AIOps, further increase the interest in
this research field and contribute to bridging the gap towards fully-autonomous
operating IT systems.
  The main aim of the AIOPS workshop is to bring together researchers from both
academia and industry to present their experiences, results, and work in
progress in this field. The workshop aims to strengthen the community and unite
it towards the goal of joining the efforts for solving the main challenges the
field is currently facing. A consensus and adoption of the principles of
openness and reproducibility will boost the research in this emerging area
significantly.
