Deep Space Analytics and Computational Finance

Why accuracy and speed matters and how horrible things can go if you don't treat in-the-loop-calibration with care.
UnRisk hosted a lecture at for finance industry professionals in the frame of Wilmott's Finance Focus on 22-May-12 in London - Deep Space Analytics was the title.

It is recorded and presented at Willmott Online.

The speakers explained in the core of the talk what deep space analytics and computational finance have in common:

Data are changing rapidly and only fats, stable and robust algorithms can meet the requirements.
It is often difficult to distinguish between information and noise. Financial data are even erratic. Improper methods might lead to artifacts.
Different deep space objects need various methods for their detection and exploration. Derivatives and portfolio analytics need multi-model and multi-method approaches.