Yes the bulk of our business is time series. This includes everything from hardware break downs to fraud detection. I think Jeremy has some good points but in general, but I wouldn't assume that everything is binary. (By this, I mean look at these kinds of terse statements with a bit of nuance)

Usually as long as you have a high amount of regularization and use truncated backprop through time in training you can learn some fairly useful classification and forecasting problems.

Beyond that standard neural net tuning applies. Eg: normalize your data, pay attention to your weight initialization, understand what loss function you're using,..