Sentences with phrase «person data team»

Not exact matches

Recently a team of its researchers combed through this data, searching the the genomes of 89,283 people for correlations between particular genes and a person's self - reported status as a lark or night owl.

Using data from more than 75,600 people who said they'd been clinically diagnosed with depression and from more than 231,700 people who reported no history of depression, Perlis and his team were able to identify 15 areas on our DNA that appear to be linked with Major Depressive Disorder.

Bock's strategy (1) asks employees to identify the company's most pressing people issues and (2) suggest ways to improve, (3) encourages the analytics team to share feedback company - wide and (4) finally empowers leaders to run experiments that test which data - supported theories work best.

The analysis, done by Millennial Branding and analytics company Identified.com, was created by a team of data scientists crunching raw information from 4 million Facebook profiles of young people to uncover how they are representing themselves on Facebook — and whether they're using the social network for business purposes.

Upload a data base of your best performing talent in your organization to Facebook and create a look alike campaign to find more people with behaviors and interests that align with your current team.

Using data from more than 75,600 people who told the company that they'd been clinically diagnosed with depression and more than 231,700 people who reported no history of depression, Perlis and his team were able to identify 17 areas on DNA that appear to be linked with depression.

«The readability and visualization of the data your BI collects is not only advantageous for your tech team, but often times the reports that the BI summary creates will need to be seen by other people - executives, future vendors, investors, etc.,» points out SelectHub, a service for enterprise software product evaluation.

Edison's team analyzes data that offer insights not only into the kinds actions people take but why they take them.

Make sure your marketing team is using a customer data warehouse or centralized database in 2016 that can tie together your marketing campaigns and a few simple insights about the people your company does business with.

When the research team cross-referenced these three types of data, they found, «not all people who work long hours are workaholics, and not all workaholics work long hours,» says the Knowledge@Wharton write - up of the findings.

With the new influx of $ 140 million, Ghodsi and team are hoping to tackle the next big problem in the big data / machine learning / AI world: the lack of trained people.

Morath encouraged her people to view the data as good news, because the hospital could learn from failures — and made sure that teams were assigned to analyze every incident.

Over the weekend, after news broke that Cambridge Analytica had harvested data on as many as 50 million Facebook users, Facebook's communications team encouraged Mr. Stamos to tweet in defense of the company, but only after it asked to approve Mr. Stamos's tweets, according to two people briefed on the incident.

Hillary's data and digital teams were up to 200 people or something!

«Dozens of people at Facebook Ireland are working full time on this effort,» it said, noting too that the data protection team at its European HQ (in Dublin, Ireland) would be growing by 250 % in 2017.

You'll get different answers from different people across the team, because the idea of a «target buyer» is inconsistent, nebulous, and often based on hunches and feelings — not data.

The sales development function, as defined by Trish Bertuzzi of The Bridge Group, combines data analysis tools, email nurturing and phone prospecting teams together in a specialized role that is only about creating SQLs and preparing them for new sales people.

Our platform breaks down the communication barriers between data and between people — teams, departments, and organizations.

Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, operating in a highly competitive industry; changes in the retail landscape or the loss of key retail customers; the Company's ability to maintain, extend and expand its reputation and brand image; the impacts of the Company's international operations; the Company's ability to leverage its brand value; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share, or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's ability to realize the anticipated benefits from its cost savings initiatives; changes in relationships with significant customers and suppliers; the execution of the Company's international expansion strategy; tax law changes or interpretations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the United States and in various other nations in which we operate; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives we use; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of data or breaches of security; the Company's ability to protect intellectual property rights; impacts of natural events in the locations in which we or the Company's customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; the Company's ownership structure; the impact of future sales of its common stock in the public markets; the Company's ability to continue to pay a regular dividend; changes in laws and regulations; restatements of the Company's consolidated financial statements; and other factors.

The team could supply people with information about their friends based on data it had independently gathered.

Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, increased competition; the Company's ability to maintain, extend and expand its reputation and brand image; the Company's ability to differentiate its products from other brands; the consolidation of retail customers; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's inability to realize the anticipated benefits from the Company's cost savings initiatives; changes in relationships with significant customers and suppliers; execution of the Company's international expansion strategy; changes in laws and regulations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; failure to successfully integrate the business and operations of the Company in the expected time frame; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the nations in which the Company operates; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives that the Company uses; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of data or breaches of security; the Company's inability to protect intellectual property rights; impacts of natural events in the locations in which the Company or its customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; tax law changes or interpretations; and other factors.

I lead a team focused on privacy and data use, including GDPR compliance and the tools people can use to control and download their information.

The 500 - person AI research team will use the data Xiaomi has collected over the years from various devices to improve its in - house intelligent assistant, Xiao AI.

The data show that the two most common causes are (1) the product just isn't useful to enough people and (2) problems with the team.

Many of us followed Sasha's 2012 articles on Slate.com, which detailed how the Obama campaign team was using data, analytics and the scientific method to optimize voter outreach and get the people they needed to the polls.

So now, even before Emma Benson, a field director for the conservative political organization Americans for Prosperity, knocks on a door, she has more than 700 data points about the person behind it, like magazine subscriptions, car ownership (make, model, year), propensity for voting, and likes and dislikes mined from Facebook and Twitter, from rock bands to baseball teams.

Ours is a people - centered, data - driven campaign that has built small, manageable neighborhood teams run by talented volunteers and supported by amazing field organizers who know the exact number of votes they need to win in their precincts.

And, with no central data collection and analysis center, Romneys team has access to nothing remotely like the comprehensive picture of the electorate Obama's people are using to target their final work and win the election.

The city received $ 1.35 million, which allowed Miner to hire a 5 - person team to look for new and creative ways to collect data and improve efficiency.

The University of Toronto's very useful website lets visitors burrow deep into the data gathered by a team of undergraduates tasked with tracking down each of the 10,886 people who earned Ph.D. s between 2000 and 2015.

«I wasn't sure I was qualified, coming from a purely experimental biology background,» says Davidson, «but luckily this team was looking for a more science - focused person to join the team to inform the data questions.»

To find out, the team examined data from 381 people.

The research team simplified this data using voxel - based morphometry, or VBM — a technique that breaks the brain into 3 - D pixels and permits rigorous statistical comparison of brain tissue density among people.

Follow - up data on safety and efficacy has been assessed at up to six years in women age 15 - 26 and the current team of investigators also looked at data on the large cohort of young people two years ago.

«Social media data have been suggested as a way to track the spread of a disease in a population, but there is a problem that in an emerging outbreak people also use social media to express concern about the situation,» explains study team leader Sherry Towers of ASU's Simon A. Levin Mathematical, Computational and Modeling Sciences Center.

The research, published in JAMA Internal Medicine by a team from the U-M Department of Neurology, uses national data on headache - related doctor visits and neuroimaging scans by people over age 18, and calculates estimated total costs across multiple years.

His team found the ancient African variants when they scrutinized the genomes of more than 20,000 people in the 1000 Genomes Project and Vanderbilt's BioVU data bank of electronic health records.

Brewis and her team then tested the data against a framework of three possible pathways that might help explain why people and those they are close to have similar body sizes.

The team's calculations from the data revealed that the odds of vascular injury during a knee dislocation were twice as high among obese or morbidly obese people than for normal - weight people.

Aragon's experience handling different kinds of data, and her contacts in industry, allowed her to «quickly build a good team of people to help with the implementation,» Aldering says.

To improve the current culture, the team argues that increased data sharing will allow more diverse people to actively participate in research, such as early - career scientists and those from underrepresented groups; scientists from smaller or historically less - influential institutions; citizen - scientists; and scientists from the Global South, scientists from Africa, South and Central America, and much of Asia who are often excluded from leading research.

In a 2013 analysis of the myPersonality data published in the Proceedings of the National Academy of Sciences (PNAS), a team led by Kosinski showed that the pattern of people's likes on Facebook is enough to predict their personal traits such as gender, race, political persuasion, and even sexuality.

The team's data revealed that the mtDNA was like that of modern humans and different from that of Neandertals, but critics argued that the samples may have been contaminated with modern human DNA when an undetermined number of people handled the fossils.

When people joining Fricker's team specifically ask to collect glaciology data onsite, she tries to accommodate them.

So that morning two well - regarded online figures — Jon Lebkowsky and Ethan Zuckerman — decided to team up to coordinate a volunteer effort, with Lebkowsky recruiting people to scan through all the online posts and Zuckerman dealing out chunks of data to be analyzed.

In order to compare the ancient humans to present - day people, the team also generated genome - wide data from about 2,400 humans from almost 200 diverse worldwide contemporary populations.

A team of Rutgers University computer engineers has shown that even without a GPS device or other location - sensing technology, a driver could reveal where he or she traveled with no more information than a starting location and a steady stream of data that shows how fast the person was driving.

A team led by Duke University, in collaboration with the Census Bureau, has developed new methods that enable people to learn as much as possible from Census data and other government workforce statistics for things like disaster management, policy - making and funding decisions, while guaranteeing that no one can trace the data back to your household or business.

To investigate this idea, Krogsboll's team pooled data from 14 previous studies involving nearly 183,000 people, comparing participants who were offered regular checkups with those who saw their doctors only when they had a complaint.

An international team of roughly 300 scientists known as the Enhancing Neuro Imaging Genetics through Meta Analysis (ENIGMA) Network pooled brain scans and genetic data worldwide to pinpoint genes that enhance or break down key brain regions in people from 33 countries.