Sentence examples for spend on the data from inspiring English sources

Exact(1)

The real challenge for the Middleware community, and Computer Science, in general is to find a way to address this problem effectively reducing the $1Tthatat we spend on the data problem, avoiding the major pitfalls that are highlighted above.

Similar(59)

This resulted in addition of a Haybittle-Peto correction for the interim analysis (i.e., 0.0001 of the α was spent on the data extraction for the interim analysis), and subsequent reduction of the final α level to 0.0249 (in order to maintain the experiment-wise α level of 0.025).

Engagement remains a key metric for Facebook as a way of quantifying how much time users spend on the site, important data for those deciding how to invest marketing budgets.

Organizations spend more time and attention protecting networks, systems and supporting infrastructure than they spend on protecting the data their infrastructure was created for.

Despite all the challenges that Garret faced and the time he spent on getting the data, he succeeded in putting the data together into a public repository.

This includes the time spent on processing the data (e.g. adjusting the window functions, Fourier transformation, phasing, peak picking, assessing impurities, etc).

Moraitakis says that a sizeable proportion of the latest fundraising will be spent on developing the data analytics side of the business which he believes will provide smaller firms with more useful information about where to find talent and how to evaluate it than ever before.

Time spent on loading the data sets and some other minor overhead was excluded.

In Japan, for example, the average amount that consumers spend on data is the highest in the developed world — but not because of a lack of competition in the mobile industry.

In many developing countries, however, the amount consumers spend on mobile data is still prohibitively high, especially compared to their counterparts in developed countries.

Especially among legacy brands, finding extra money to spend on data — along with boosting the technology stacks and skillsets needed to leverage progress from data — has created challenges for third-party partners.

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