Plainly precisely like in drugs, the following “low hanging fruit” is using ML in such methods that may maximize the person buyer safety expertise. Through the use of his information, his life-style (organizational insurance policies) and his genome (particular software program, context).
The subsequent step, for my part, is predicted — Precision Safety (PS).
Let’s give our clients a safety expertise that matches them most and is predicated on (or tweaked by) their private information. Now we have the motivation and we have now the expertise, there’s solely the small subject of the info — it’s non-public. By definition if you wish to use my information to personalize my safety you might be uncovered to all of my private IP and furthermore you’ll most likely need it travelling the world to be crunched by your cloud based mostly ML pipeline. That’s disturbing and doubtless a giant “no no” for patrons, particularly in conservative industries. They’re proper. It’s their information and it’s their most essential asset. The priority is legitimate.