Are deep learning models really the key to unlocking hidden insights in time series data, or are they just overhyped? And what about classic approaches like ARMA - are they still relevant in today's world of machine learning? Please join the conversation and share your valuable insights and perspectives on the power and limitations of deep learning in time series analysis, and whether we should be looking towards alternative approaches.