The book's so-called intelligence mainly refers to the intelligence that relies on data, especially big data, so the title is very reasonable in terms of big data and I'm not imagining intelligence. But the main breakthrough in AI now comes from data-driven directions, which may well be true. Some of the little stories mentioned in the book are very interesting. Search engines evolve to now, "click Data ... A 70%-80% weighting in the search sort "" If a company can make a large share of the browser market, even if its search volume is small, it can also collect a large amount of data "this is the same thing in the Chinese market" originally Bing did so, and 360 of the business logic came from this, No wonder Google's Chrome browser is now so much bigger that everyone is doing business logic. "Netflix has not been growing fast in its early 10 years ... Early adopters saw the movies they wanted to see in the first few months, and then didn't know what to look at ... The lack of personalized recommendations is not good "" with the accumulation of data, Netflix to each user's recommendations more and more reliable ... 3/4 of the programs that users are watching are Netflix's recommended "the intrinsic logic of the original web-fly so that Rome was not built in a day." But the book of the future of the intelligent industry description is too brief, although the description of agriculture, sports, manufacturing, medical, lawyers, journalist editors six aspects, but are generally known to the common things, a slight lack of insight. The future of equipment is becoming more and more intelligent this trend is obvious, which traditional things change the business logic, and what new needs can be created, here face value to dig again seriously. In fact, in this sense, Beibei on a company's thinking and the direction of hard work is not too much problem, but the boss's ability and personnel have insufficient.
Reading Marks-"smart age: Big Data and smart revolution redefine the Future"