Now there are cases of applying big data in foreign countries. The case is that a father who has a high school daughter received an advertisement for a promotion of a baby product, and the father was furious, saying that the merchant was unscrupulous, and promoted the baby product to my high school daughter for the sake of the promotion. But after a week or two, he felt very guilty because he was wrong about this attitude of the merchant, the reason being that his high school daughter was indeed pregnant. Why did the merchant find this out? Merchants are actually through some data mining and comparison in the mall, found that this girl has been in the mall to buy some similar goods, in front of some similar shelves to stop and watch, and this frequency is very high, the merchants for the background of the big data analysis, sieve out the potential customers, send out commercial ads.
This can be said to be a very typical case, giving us a lot of thinking, we can find these cases from the very early MBA program, these cases tell us a, we have to pay attention to some external data, through the acquisition of external data research, which is the future of the insurance industry is very important ability.
3, the insurance industry should be proactive, should be early for the big data era have a proactive concept, or have such a proactive mindset. My basic statement is that, if we put it in the abstract, the big data era of data capabilities will become the core of the core competitiveness of the future insurance companies. There is an old Chinese saying that those who know the time are wise, the most important prerequisite is to recognize that it is very important for the industry to be able to recognize this early and make relevant preparations early. I said that the industry needs a kind of big data thinking, which is a very important ability we need to have for the future, you can be based on big data thinking, to be able to comprehensively understand the era of big data, put a product, customer service in the big data under the thinking about this issue, which is very important.
The person who gets the talent gets the world. There is a data that the hottest industry in the future is data scientists, so data workers, data engineers, data scientists, will be the core resources of the future of the company. These people he has been different from our traditional sense of data talent, not our original IT-based, for database research, management, application of talent, I said this is based on the big data era of data talent. What are they? What are the key capabilities of these future-oriented data talents? Observation and imagination. Future data, the core ability of the scientist is imagination and observation, he is able to observe the data structure behind a certain social phenomenon, dig out the data structure behind this phenomenon and integrate it into a new business model, a new business opportunity is created. There is imagination, but also know how to realize this imagination, of course, the middle of the data is a core element.
We need to cultivate a data acquisition capability, you know where the data is. The ability to process data, how to build relationships between data. I speak of data processing is not the traditional sense of data processing, but to learn to deal with the relationship between the data, from this relationship to find regular things, from the regularity of the business model behind the discovery. The ability to think about data. To learn to think based on data.
This is a must-have capability for our future insurance industry. Of course, there are a lot of things that insurers have to do behind the scenes. For example, we have traditionally been in commercial capital, and we know that with the massive use of unstructured data, or we need more objects to deal with unstructured data, I think the future of artificial intelligence, expert support systems are going to become incredibly important.
If we want to summarize and say, discovering the relevance of data, building data business models, the future of the whole society is a data society treasure hunt important tools and capabilities. This is about what the insurance industry needs to do for a rainy day. The relationship of time does not take up too much time.
To summarize, I still have this point of view, I think the era of big data will come faster than we think. The era of big data is closely related to almost every one of us. Any industry can ignore the arrival of the big data era, but not insurance. Big data fundamentally change the insurance industry, do not do a good job, will make the insurance industry's traditional operating space is greatly compressed, do a good job will be for the insurance industry to open up a whole new field, a broad space. But the most important thing is to rely on the industry's understanding of the arrival of the era of big data, vigilance and response. What I said is not necessarily right, this is the recent thinking, to share with you a share, I'm kind of a brick to attract jade,
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