Sentence examples for data analytics that from inspiring English sources

I think our brightest engineers can develop innovative privacy-enhancing technologies which will enable new techniques for data analytics that minimize costs to privacy.

There has always been a close relationship between big data and cloud computing as it requires no limits in terms of compute and storage but by adding real-time processing capabilities, we will see a rise in data analytics that are able to produce results for in real-time, radically changing the products companies can build.

But statistician Nate Silver, the founder and editor in chief of FiveThirtyEight.com, says it wasn't data analytics that failed, but the major media outlets that didn't properly understand probability and instead leaned on shopworn conventional wisdom.

UC Berkeley Extension offers a variety of courses, certificates and bootcamps in coding, UX/UI and data analytics that are available entirely online or scheduled around the 40-hour workweek on nights and weekends.

To demonstrate our ideas, we are building several applications, including systems to read large amounts of text and answer sophisticated questions (see WiscI and GeoDeepDive) and building general primitives for data analytics that are now incorporated in products from Oracle and Pivotal.

And anything with data analytics that can help our customers.

Execution of complex analytic queries on massive semantic graphs is a challenging problem in big-data analytics that requires high-performance parallel computing.

Now Jun, fellow CSAIL graduate student Ming Liu, and Arvind, the Charles W. and Jennifer C. Johnson Professor of Electrical Engineering and Computer Science, have developed a storage system for big-data analytics that can dramatically speed up the time it takes to access information.

The company already has tools in place, including big-data analytics that identify suspicious listings and where they originate, that have enabled it to take measures like the purge of 90 million suspicious listings before its initial public offering last fall.

To propose and design efficient approaches for collecting and storing data for analytics that can also be integrated with other data pipelines seamlessly.

He is a founding investor in Starling Trust Sciences, LLC, a company that produces data analytics tools that allow companies to measure a wide range of cultural attributes about their internal operations.