Analytics
in sentence
102 examples of Analytics in a sentence
Social-networking technologies have already made recruitment for clinical trials more efficient, and artificial intelligence and predictive
analytics
have allowed for trials to be conducted much faster.
Training curricula for health-care providers and administrators should thus include instruction in statistics, data management, and
analytics
so that providers can keep up with digital advances.
Now she, and Cataphora, are applying those same
analytics
to a different market: people who want to analyze their own e-mail correspondence (and eventually other content) to see a reflection of their interactions with others.
New technologies – including digital platforms, big-data analytics, and cloud-based services – do not recognize national borders and function best when they operate at scale.
Whether the primary imperative is spotlighting data and
analytics
or forming new partnerships in other sectors to gain access to specialized expertise, aggressive innovation, and ambitious efficiency goals are critical.
As health institutions become increasingly automated and their information moves online, and as at least some individuals start tracking their own health and health-related behavior, health researchers may have a chance to learn from and use the
analytics
developed in the advertising world.
AT&T, in collaboration with Udacity, is offering online “nanodegrees” in data
analytics.
Shale oil and gas extraction costs have fallen in some locations by 60% as companies apply advanced data
analytics
and automation to improve success rates and cut drilling costs.
In California’s Santa Clara County, predictive
analytics
help prioritize shelter space for the homeless.
Large Internet platforms like Alibaba can use Big Data and smart
analytics
to monitor such changes.
This will require further investment in immunization, improved data collection and analytics, new tools and approaches, and most importantly, strong partnerships.
Knewton, an adaptive learning platform that personalizes digital courses using predictive analytics, is another company at the forefront of the data revolution.
This kind of “multi-sided” business model is appearing in other sectors, too, as companies use big-data
analytics
to find ways to monetize the information that they would collect anyway.
Ultimately, the impact of digitalization on sustainable development will depend on whether the advent of more and cheaper data, together with faster analytics, results in financing decisions that take greater account of today’s social and environmental costs.
Promising areas of research include grid-scale batteries with the ability to charge and discharge tens of thousands of times and data
analytics
to optimize the use of the batteries and make the grid as efficient as possible.
Why haven’t growing reliance on data
analytics
and aggressive trading meant that, as markets become more efficient over time, all remaining opportunities to secure abnormal profits are competed away?
Humanitarian aid agencies are using big data
analytics
to optimize the delivery of supplies for refugees fleeing conflict and other hardships.
We need to assert what philosophers and religious teachers have at all times asserted: that there is something called the good life, apart from survival, and our understanding of it has to be taught, just as Mill’s father taught him the elements of Aristotle’s Posterior
Analytics.
Big Data
analytics
and machine learning also enable greater personalization of health services.
OXFORD – The British public can’t get enough news about Brexit – at least, that’s what news platforms’ data
analytics
say.
The rise of data
analytics
has made journalists and their editors confident that they know what people want.
This means listening to readers, not just studying the data
analytics.
Second, big data and algorithmic
analytics
can accelerate the provision of the $5.2 trillion in annual financing required by developing countries’ small and medium-size businesses, which are the source of much of the world’s employment.
Since 2017, Malawi’s government has been working with UNICEF to expand the use of drones and data for development and humanitarian purposes, from delivering medical resources to collecting aerial imagery for predictive
analytics.
Finally, the EIB plans to increase its support for innovative technologies such as weather
analytics
and climate-resilient food systems, to help companies, individuals, and communities prepare for climate change.
People analytics, popularized by former Google executive Laszlo Bock, is now an established tool, and HR departments routinely hire data scientists to inform critical business decisions.
Other companies have responded to a perceived talent gap in the HR field by taking pieces of the function and distributing them to other, male-dominated functions: payroll and benefits to the CFO,
analytics
to the CTO, software systems to the CIO, and so on.
These include the creation of new “assets” in the form of intellectual property rights, the emergence of new “products” like data analytics, the privatization of public or social assets such as nature, and the private delivery of public services.
We estimate that AI and
analytics
could add as much as $13 trillion to total output by 2030, increasing the annual rate of global GDP growth by more than one percentage point.
With big-data analytics, artificial intelligence (AI), and other novel methods, they promise to cut costs for struggling health-care systems, revolutionize how doctors make medical decisions, and save us from ourselves.
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