Sentences with phrase «at model data»

Not exact matches

But fully half of all automobile brands are already building 1 Mbps Bluetooth connectivity into at least some of their models, says Phil Magney, co-founder and principal analyst of Telematics Research Group, a research and data firm in Minneapolis.

Holger Mueller, who tracks the HR sector as principal analyst and vice president at Constellation Research, contends that Zenefits» revenue model is the most revolutionary thing about the company, comparing its approach to Google, which also gives away its digital services for free (then monetizes its accumulated user data by selling it to advertisers).

US Navy Rear Adm. Dave Johnson said, during a 2014 symposium at the Naval Submarine League, that he was so impressed by the new Russian nuclear guided missile submarine Severodvinsk that he had a model of the submarine built from unclassified data.

Ludwin: Because the core innovation in a blockchain — now a blockchain by the way is just a data model; it's being used — to meet — to address a lot of different things in, you know, corporate marketing at an event like Davos.

Jonathan Niednagel, Vice President New Market Development at Prevalent Inc., a supplier of third - party risk management technologies, puts it this way: «It will take several years of breach data before the underwriters are able to build models that support their pricing structure.

The 16 GB iPhone 5S, which features the fingerprint sensor, costs Apple at least $ 199 to build and the 64 GB model costs the company about $ 218 to make, according to IHS data shared with All Things D.

Scott Tranter, a founder of the data - analytics firm Optimus who was on the data team for Republican Sen. Marco Rubio's 2016 presidential bid, told Business Insider that the psychographic modeling that Cambridge Analytica touted «isn't proven science» and that that was at least partially why some thought the service was nothing special.

Mentoring is undoubtedly a key requirement as far as entrepreneurs across any sector are concerned; more so the ones who look at developing models by harnessing the potential of Data Sciences.

But at $ 499 for the basic 9.7 - inch iPad model — with 16 GB and no access to cellular data — it might not be worth the expense for cost - conscious sales teams.

We combine satellite imagery data from Google Earth Engine with the locations of malaria cases collected by a country's national malaria control program, and create models that let us generate maps identifying areas at greatest risk.»

Rackspace can also offer managed services from its own data centers, run customers» IT in on - site at their facilities, or help customers mix and match those models as needed.

MARKETING REIMAGINED Presented by gyro Big data, customer insights, and new business models driven by technology Christoph Becker, CEO, gyro Bob Borchers, Chief Marketing Officer, Dolby Gil Elbaz, CEO, Factual Deanie Elsner, CMO, Kraft Phil Fernandez, CEO, Marketo Marc Mathieu, SVP, Marketing, Unilever Moderator: Pattie Sellers, Senior Editor at Large, Fortune, and Executive Director, MPW / Live Content, Time Inc..

«There is a sense that these concepts are at odds — whether they be governments or big companies — and that you have to pick a model, but people value their sense of control and autonomy over their data and people ultimately understand there are a lot of threats to that.»

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

Dremio simplifies and governs the process of achieving interactive speed on data from any source, at any scale, at any time, through a self - service model delivered on an open source platform.

But the Cambridge Analytica crisis strikes at the heart of Facebook's data - mining business model and involves factors not entirely under his control, limiting the value of his past experience at damage control.

We reserve the right to withhold any research data, data derived from our predictive modelling, confidential data acquired through third parties, or any other data at our disposal that is essential to our business to the degree permissible under applicable law.

These projections — available through 2008 at the Philadelphia Fed's Real Time Data Center — have generally been more accurate than forecasts from simple statistical models.

Like the Model S, Tesla does not report Model X sales, so we do our best to estimate monthly results for North America using all the data at our disposal (For more info on that, check out our disclaimer for the Model S)

The sentiment seemed widespread on tech and media Twitter: there was a lack of specificity in terms of questions about privacy (this allowed Zuckerberg to turn nearly every question about the ownership of data to a discussion about user interface controls that limit where data is shown to other Facebook users), plenty of dodged questions (every time there was a question about the data Facebook generates about users beyond what they themselves enter into the system Zuckerberg needed to «check with his team»), and bad questions that presumed Facebook sells data, letting Zuckerberg run out the clock at least three times by explaining the basics of Facebook's business model (this is precisely why I have been so outspoken about the problem of perpetrating this falsehood: it lets Facebook off the hook).

When determining if your business is right for an unsecured business loan, our underwriters analyze a variety of metrics such as big data, historical risk models, and trade line distribution to determine its unique growth potential instead of just looking at your credit score.

Kogan wrote in the email that he wanted to create statistical models that could accurately identify people at risk for various diseases and illnesses by examining their Web browsing and purchase behaviors, and combine that with medical data from Harvard.

For example, when using the model to make predictions for time t +1, only data at time t was used; i.e. the 7 technical features from EOD yesterday were used to predict the price direction for today.

Lending Club's data during this period (Prosper had a different lending model at the time) also concurs with this statement.

Since conceptual capacities needed to understand God include capacities that are «existentially» significant while at the same time fully as rational and as rigorously disciplined as any other capacities to understand anything else, can academic schooling be understood adequately simply as the acquisition of capacities for disciplined accumulation and mastery of data and capacities for critical and self - critical theorizing (cf the «Berlin» model)?

A theory is a mathematical model which describes a phenomenon, and if you would look at the data for yourself, it has been proven correct time and time again.

Notable advances have usually required new «models» and conceptual schemes, fresh ways of looking at the data, or novel ideas for the design of apparatus.

If we look at technology, one area of innovation that has potential for a big impact is the technology around big data, blockchain and transparent transaction models.

Although you can also look at football helmet ratings, the NOCSAE cautions «against an over-reliance on any individual data point, rating or measurement which could lead to inaccurate conclusions or even a false sense of security that one helmet brand or model guarantees a measurably higher level of concussion protection than another for a particular athlete.»

We used data from the National Center for Health Statistics to model birth rates and capped parity at six.16

What they gave the USDA was a modeled prediction based on all sorts of data the firm collected from 2,314 students at 398 schools that year, including the types of food served, the amount of time kids were given to eat, prices charged, and interviews with children and their parents revealing what the kids typically ate in the course of a day and family income.

Although not directly comparable, our findings are in broad agreement with those from routine data in Scotland that have indicated a positive association between Baby Friendly accreditation, but not certification, and breastfeeding at 1 week of age.17 Our findings reinforce those of Coutinho and colleagues who reported that high exclusive breastfeeding rates achieved in Brazilian hospitals implementing staff training with the course content of the Baby Friendly Hospital Initiative were short - lived and not sustained at home unless implemented in combination with post-natal home visits.35 Similarly in Italy, training of staff with an adapted version of the Baby Friendly course content resulted in high breastfeeding rates at discharge, with a rapid decrease in the days after leaving hospital.36 In contrast, a cluster randomized trial in Belarus (PROBIT) found an association between an intervention modelled on the Baby Friendly Initiative with an increased duration of breastfeeding37 an association also reported from an observational study in Germany.38 Mothers in Belarus stay in hospital post-partum for 6 — 7 days, and in Germany for 5 days, with post-natal support likely to be particularly important in countries where mothers stay in the hospital for a shorter time, with early discharge likely to limit the influence of a hospital - based intervention.

Identifying core components of interventions found to be effective and understanding what it takes to implement those components with fidelity to the program model is critical to successful replication and scale - up of effective programs and practices in different community contexts and populations.7 There is growing recognition in the early childhood field of the importance of effective implementation and the need for implementation research that can guide adoption, initial implementation, and ongoing improvement of early childhood interventions.8, 9,10 The promise of implementation research and using data to drive program management is compelling because it offers a potential solution to the problem of persistent gaps in outcomes between at - risk children and their more well - off peers.

It's a classic question of Garbage In, Garbage Out: if your data model tells you to aim your ads at the wrong people, even the best targeting techniques aren't going to help you win votes.

Without at least some outreach via channels with a «fuzz factor» to catch voters your data model missed, you may find yourself with a dangerously open flank.

That's one reason «addressable» advertising has become popular in the past five years, particularly at the presidential and statewide levels, where campaigns more often have the capacity to build the data models to identify demographic groups and specific voters to persuade or turn out.

Data experts I've talked with generally say that psychographic models can be useful in your first rounds of outreach, since they should give you at least an idea of whom to target.

Using the same data a logit regression model improves the predictive power of local elections to tell us who will win the most votes at the next general election, making correct predictions 86.21 % of the time.

The entire discussion is brain - food for any political junkie, but one segment particularly jumped out at me: David Plouffe gave an extended description of how the Obama campaign used volunteer - produced data to create computer - generated models of states — down to segments of a media market — to determine how the campaign was doing at any given moment.

RE: Just a little piecprsteve on the credibility of the authors of the study: Study co-author Dr. Roy Spencer, a principal research scientist at the University of Alabama in Huntsville and U.S. Science Team Leader for the Advanced Microwave Scanning Radiometer flying on NASA's Aqua satellite, reports that real - world data from NASA's Terra satellite contradict multiple assumptions fed into alarmist computer models.

In that case, they're likely throw money at poorly targeted TV campaigns rather than spend time and resources building up a robust field operation or investing in data - modeling and voter targeting.

Top Trump campaign officials, meanwhile, played down the work of the data - science company, which was paid at least $ 6 million to do voter modeling and ad buys for Trump in the 2016 general election.

Processing the biological data at the deepest level, such as DNA base pairs, therefore only makes sense if this analysis can used to build models of biological processes and if the resulting predictions can be tested.

«We're at the phase now where we're trying to recapitulate experimental data so we have confidence that our model is capturing the key factors,» he said.

Incorporating this kind of data into the models has been difficult in part because geostationary data provide fewer measurements for any given vertical slice of the atmosphere than do polar orbiters, which circle Earth at lower altitudes.

Dr. Holloway is a Professor in the Nelson Institute for Environmental Studies at the University of Wisconsin - Madison, where she leads a research program that employs computer models and satellite data to understand links between regional air quality, energy, and climate.

One of the challenges has been accurately determining the difference between sea surface temperatures at the poles and the equator during the Eocene, with models predicting greater differences than data suggested.

«These data I think [are] the validation, at least in animal models, that this messenger RNA therapy could work.»

Millan, a UCI graduate student researcher in Earth system science, and his colleagues analyzed 20 major outlet glaciers in southeast Greenland using high - resolution airborne gravity measurements and ice thickness data from NASA's Operation IceBridge mission; bathymetry information from NASA's Oceans Melting Greenland project; and results from the BedMachine version 3 computer model, developed at UCI.

Karl Gebhardt at the University of Texas at Austin and Thomas Jens of the Max Planck Institute for Extraterrestrial Physics in Garching, Germany, weighed M87 by running existing data through a new model that simulates the galaxy on a supercomputer.