Sentence examples for big data water from inspiring English sources
There are many others I would like to add to this list of non-trends we should not start celebrating yet -- measurement (social impact, outcomes versus inputs), diversity, employee engagement, cause marketing, big data, water, transparency, development, global versus local, cities are good/no bad, social media, supply chains, partnerships, social enterprises versus nonprofits, etc.
These are demography, big data and water scarcity.
T. Wolpe, "Big data deluge: How Dutch water is trying to turn the tide", October 1, 2013, zdnet.com.
Through three big data case analyses on water fluoridation, the Ebola epidemic, and childhood vaccinations, we analyze the influence of scientific evidence and the influence of "social proof," a form of imitation where individuals ascribe to the behavior of others in order to resolve uncertainty.
Yet the software program that is helping your aunt monitor her diabetes, or the mechatronics technology that is improving prosthetics for amputee veterans or the data scientists unraveling the wisdom buried in big data so energy and water use can be decreased is rarely positioned as the work of engineers.
The Internet of Water is an outgrowth of the 2015 Aspen-Nicholas Water focusedwhich fonused on water and big data, and was then followed by the Aspen Institute Dialogue Series on Sharing and Integrating Water Data for Sustainability a convening of experts from different water sectors.
This year's forum will focus on water and big data, exploring how the emergence of large amounts of dispersed data in the water sector can best be utilized to improve the management and delivery of water for a more sustainable future.
So remember: A combination of field liners, floppy sprinklers and big data could reduce California agricultural water use by at least 75% -- while actually boosting yields and saving farmers a fortune on their water bill.
Both the probabilistic classifier and the regressor are included in a wider distributed processing framework and are experimentally applied on water consumption related Big Data analysis tasks.
