Great question, and actually one that the actuarial community has been thinking about in recent years, but basically everyone in the profession agrees that the opportunities outweigh the challenges. Here are some brief thoughts. First of all, there is no strict definition of what the era of big data is, and it is not appropriate to simply follow the questioner's statement that all data is available. I privately believe that the reason why big data and traditional data has a qualitative change is not the "volume" of data, but the "dimension". Behavior can be abstracted into data, text can be abstracted into data, sound can be abstracted into data, the picture can be abstracted into data, and there are corresponding data processing methods to identify and analyze these now seemingly irregular data. Data is massive, multi-dimensional, so the data acquisition, storage, call, analysis of a series of processes will undergo fundamental changes, not data from one to a hundred of pure volume changes. Then look at actuarial, actuarial principles in the final analysis is to experience to predict the future. Here the experience is extremely dependent on data, therefore, in the period of relatively poor data, actuarial formed its own set of methods to simulate the future as much as possible, is a set of theories balanced the complexity and accuracy, if the era of big data I mentioned above is really coming, will inevitably have an impact on this set of theories, because the data is no longer barren, the computer technology and performance of the great development of computer technology and performance has been able to withstand a more accurate Theory. Slowly the shift from empirical predictions to instantaneous predictions will occur. But this transformation will never be instantaneous, it is a gradual process, and in the middle of the process, we still need to continue to try to figure out, which also requires the efforts of the current data staff, including actuarial staff. The future direction of development is actually a lot, the most and the big data era is estimated to be the data scientists, actuarial itself is the birth of the insurance industry, but this set of actuarial theory is actually applicable in many areas, in-depth mastery of actuarial knowledge based on not only analyze the data but also be able to apply the data results to decision-making composite talent is going to be the trend.