Sentence examples for data which is critical from inspiring English sources

You build so much more brand loyalty and you own the data, which is critical.

How can we become more focused if we don't know where our target audience is?A first step towards achieving the 2030 goals would be to support the bank's clients in producing robust data, which is critical for governments and development partners alike.

On the plus side, FameBit includes each channel's audience age and geographic coverage data, which is critical data when trying to find the right channel for your brand.

So speech recognition, if you're talking about white males asking search queries in a quiet room, you can get as much labelled data, which is critical, for these systems as you want.

Use of structured data also lends itself to capture of outcomes data, which is critical to the development of robust evidence of utility.

Using these processes in dispersion-engineered silicon photonic nano-wires, he has demonstrated impressive increases in wavelength conversion and wavelength multicasting of high-speed optical data, which are critical network-level functionalities in all-optical communication systems.

The project focuses on the provision of accurate, reliable and neutral vaccine product, price and procurement data, which are critical for the forecasting, budgeting and sustainable financing of vaccines, yet currently not available for Middle income countries.

However, PSDA mainly focuses on discriminative information hidden in unlabeled data and ignores the local geometric information which is critical to reveal the intrinsic distribution of data points, especially for face image data.

The use of design place-and-route data with emission tools can provide information which is critical to the analyst and provide a method to trace from the emission site to the true defect location.

The advantages of using clinical features in CAD systems are obvious: the CAD results can be interpreted and presented with clinical meaning, furthermore, the prior knowledge allows modeling the disease detection with a small data set, which is critical when the training data is insufficient.

Finally, MongoDB's document data model ensures data locality, reducing the number of disk IO's required for complex data models, which is critical for providing high-performance.