只有33%的人说他们会保留移动数据服务，目前这一比例是最低的。
Only 33% said they would "leave unchanged" their mobile data service, by far the lowest percentage for this result.
这样，即使你没有WiFi或移动数据服务，你仍有方法找到路。 。
That way, even if you don't have WiFi or cell service, you will still have a method for finding your way around.
在发达国家，更快的移动宽带连接和更便宜的数据服务正在推动着这种变化。
In wealthy countries, the shift is being fueled by faster mobile broadband connections and cheaper data service.
投资银行野村证券(Nomura Securities)的SachinGupta预测，这些移动通信市场最终会出现“拐点”，数据服务增长快于其他收入增长。
Yet these markets will eventually pass an "inflection point" where data services outstrip other revenue growth, predicts Sachin Gupta of Nomura Securities, an investment bank.
像个人EVDO（优化数据服务）等传统移动网络解决方案也会变得更加简单。
More traditional mobile internet solutions like one-person EVDO could quickly feel shockingly unsophisticated.
例如，一个移动员工尝试通过一个较慢的Internet连接下载数百兆字节的内容，仅仅是为了将应用程序连接到目标DB 2数据服务器。
For example, consider a mobile employee with a slow Internet connection trying to download hundreds of megabytes to simply connect an application to a target DB2 data server.
尤其是苹果公司想为iPhone用户提供有关交通拥堵的信息，而在这个时候通过数千万在世界各地道路上移动的安卓（Android）手机，谷歌公司已经提供了这种数据服务。
In particular, Apple wants to offer iPhone users information on traffic-congestion, as Google already does using data fed back from the millions of Android phones travelling the roads of the world.
无线通信技术的飞速发展，人们在移动环境下对数据服务的需求量急剧增加。
With the development of wireless telecommunication technology, the demand of people for data services increased more and more.
因此导致(或者是因为更好的基础设施)中国移动的数据服务和速度都非常经济实惠。
As a result (or because of better infrastructure), mobile data packs in China are wonderfully economical for the speeds they generate.
向移动设备的转移为英特尔创造了新的市场：驱动云储存的超大数据服务器都用到了它的芯片，大量的移动数据都储存在云端。
The shift to mobile has also created a new market for Intel: Its chips are in the huge data servers that power the cloud, where much mobile data is stored.
向移动设备的转移为英特尔创造了新的市场：驱动云储存的超大数据服务器都用到了它的芯片，大量的移动数据都储存在云端。
The shift to mobile has also created a new market for Intel: Its chips are in the huge data servers that power the cloud, where much mobile data is stored.
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