What seems to be attractive in science is no longer its being a high intellectual activity, a continuous human search to represent and predict nature, but for what it can produce in terms of controlling, and therefore in terms of power, of mankind on his sorroundings and his fellows.
Once you can understand consumer preferences, record purchases, and keep track of sizing and fit profiles, it becomes possible to better predict what someone will be most likely to buy in the future.
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It remembers previous buying habits and can predict what the customer is likely to want on this visit.
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And so it's very hard to predict exactly what the long rate will do, even when the Fed is cutting.
Put another way, how well can it predict our successes, academically or professionally, and what variables may matter more?
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It is impossible to predict what blend of elections, legislation and judicial decisions will bring gay marriage to America.
To be fair, no one can accurately predict the future, and only a rare few see bubbles for what they are before it is too late.
With so many potential combinations, it's tough to predict what will sell, so Chrysler (and its suppliers) have to gear up with parts and tooling to build every possible variation.
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It is always difficult to predict what the Supreme Court will do, and almost everyone agrees this is a close case. (The two federal courts to hear it so far have split, with Clinton winning at the trial level and Jones on appeal.) But there are good reasons to believe that the court may be reluctant to allow Jones' suit to go forward.
Since these are the models used to predict future climate and influence policy decisions, it is imperative that they can accurately simulate measurements of what is considered to be the driving mechanism behind climate change.
Organizations that allow clients to see their silos, said Trefler, Organizations that have to transfer a customer in the middle of a call to finish a service interaction, or organizations which have to guess what the customer wants instead of having the system predict it based on the customer history and previous calls.
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In summary, as I think about the insights from these top leaders it becomes clear the companies who are succeeding are those who understand their customers as individuals and predict what service those customers will want.
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The genome has been deciphered and it is not the case that we can predict at a young age when people will die or even what nasty diseases they will get in old age.
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