Google Inc.’s Calico, a biotechnology firm created by the search-engine giant to study aging and related diseases, will delve into the genetic database amassed by a unit of Ancestry.com LLC to look for hereditary influences on longevity.
Pattern of Life analytics (POL) is a new predictive data analytical method that is similar to profiling. The implications of POL in the context of the Internet of Things (IoT) are far-reaching for both governments and business.
Data science is one of the biggest trends in business. For many teams, however, the concept remains a black box. Positioned at the intersection of engineering and statistics, we often thinking of data science as closely tied to IT, marketing, analytics, and product. We imagine complex algorithms, messy datasets, and endless lines of statistical code.
Guest blog post by Joy King, VP, Communications & Enablement, HP Software Big Data I was very proud when Michael Stonebraker, co-founder of Vertica, was named the winner of the Turing Award, granted annually to "an individual selected for...
by Cheryl D. Krivda Do you know the game “Six Degrees of Kevin Bacon?” It’s the one in which competitors try to link celebrities to the prolific “Footloose” star in six or fewer steps by finding movie relationships between him and various actors.
The promise of a Big Data enterprise is enticing. For companies that have successfully implemented Big Data strategies are seeing big payoffs.
Despite its promise of enabling seamless customer views and creating tangible business results, many marketers and customer experience leaders today are stymied by their data. Rather than quickly acting on data across all business units, numerous leaders have information overload when it comes to capturing, analyzing, and acting on Big Data.
Big Data provides decision-makers with incredible opportunities to learn more about individual customers. First, companies must overcome these challenges in integrating and capturing the most relevant data.
The Internet of Things (often abbreviated to IoT) and big data are probably two of the most talked about concepts that are currently happening within tech and whilst they are not mentioned together that often they are most definitely two technologies...
Companies continually look for ways to outperform their competitors. One way they are trying to get ahead is through the application of analytics on their data. Researchers, for example, have found that top-performing businesses were twice as likely to use analytics to guide future strategies and guide day-to-day operations compared to their low-performing counterparts.
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