財富精英勵志演講 第57期:信息技術(shù)的力量(6)

[00:01:35]The second type of deep computing is what we call data mining -- some people call it business intelligence, 第二種深入計算我們稱之為數(shù)據(jù)分析處理 -- 有些人稱之為商業(yè)情報處理， [00:08:54]the ability to extract inside from mountains of information, and see relationships and trends that previously were not available or invisible. 即從大量信息中提煉出有用情報，并分析出以前得不到或看不見的各種關(guān)系和發(fā)展趨勢。 [00:18:49]Banks are looking at spending patterns and other demographic data to see which customers are more profitable over the long haul. 銀行在分析消費模式和其它統(tǒng)計數(shù)據(jù)，以弄清哪些客戶長期的收益狀況較好。 [00:27:29]Health-care companies are analyzing millions of patient records to find hidden indicators of disease. 醫(yī)療企業(yè)在分析成百萬的病例以從中發(fā)現(xiàn)隱藏的疾病跡象。 [00:37:04]These tools are also helping slash the staggering cost of insurance fraud in the health-care industry, 這些工具還有助于削減 health-care 產(chǎn)業(yè)中驚人的保險欺騙損失， [00:45:50]which is a hundred-billion-dollar problem in the United States alone. 僅在美國這個損失就高達上千億美元。 [00:51:26]Insurance companies can now spot every billion practices. 保險公司現(xiàn)在能夠發(fā)現(xiàn)任何欺詐行為。 [00:55:53]One company in the United States has saved 38 million dollars, having invested only 400 thousand in this technology. 有一家美國公司僅在這種技術(shù)上投資 40 萬美元就減少了 3800 萬美元的損失。 [01:07:17]In one instance they found a doctor, who was sending it a bill once a week for a procedure that particular - usually was done once or twice in a life time. 有一次他們發(fā)現(xiàn)一個醫(yī)生每周都要送來一份醫(yī)療檢查帳單，而其中的一些項目一生也只會做一次或兩次。 [01:20:38]At some times the patterns and relationships that are uncovered are truly baffling. 有時發(fā)現(xiàn)的一些情況和關(guān)系著實令人難以理解。 [01:29:18]One retail chain discovered the following correlation -- for whatever reason, new fathers buy disposable baby diapers and beer on the same shopping trip. 有一家零售連鎖店發(fā)現(xiàn)了如下的相關(guān)聯(lián)系：不管出于什么原因，新爸爸們總是在一次購物中同時購買一次性嬰兒尿片和啤酒。 [01:48:03]This led to many, many thoughtful ideas not at least which was they never discount diapers and beer on the same day. 這一點引發(fā)了很多很多很有思想的想法，例如他們從不同時對尿片和啤酒打折。

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