Sentences with phrase «using predictive data»

«It's good for our revenue stream because agents are able to quickly identify people who are more likely to raise their hand and sell a home,» Macklin says, noting his agents earned 10 listings as a result of using the predictive data in front of sellers.

Through TVAAS, teachers will be trained in using predictive data to modify their classroom instruction and enhance student learning of the states new standards...

• KAR Auction Services (NYSE: KAR) acquired Drivin, a startup using predictive data to make the online selling and buying of online cars more seamless, for $ 43 million.

This longstanding tradition might be totally disrupted due to new technology from a German company that uses predictive data to forecast what title has the highest chance to become a bestseller.

The Nest uses predictive data science to analyse a wide variety of data to...

Not exact matches

Telematics could lead to better and cleaner data, «which means the use of predictive analytics in a more prevalent way,» he added.

The data is being used for predictive analytics and decision processes.

These risks and uncertainties include, among others: the unfavorable outcome of litigation, including so - called «Paragraph IV» litigation and other patent litigation, related to any of our products or products using our proprietary technologies, which may lead to competition from generic drug manufacturers; data from clinical trials may be interpreted by the FDA in different ways than we interpret it; the FDA may not agree with our regulatory approval strategies or components of our filings for our products, including our clinical trial designs, conduct and methodologies and, for ALKS 5461, evidence of efficacy and adequacy of bridging to buprenorphine; clinical development activities may not be completed on time or at all; the results of our clinical development activities may not be positive, or predictive of real - world results or of results in subsequent clinical trials; regulatory submissions may not occur or be submitted in a timely manner; the company and its licensees may not be able to continue to successfully commercialize their products; there may be a reduction in payment rate or reimbursement for the company's products or an increase in the company's financial obligations to governmental payers; the FDA or regulatory authorities outside the U.S. may make adverse decisions regarding the company's products; the company's products may prove difficult to manufacture, be precluded from commercialization by the proprietary rights of third parties, or have unintended side effects, adverse reactions or incidents of misuse; and those risks and uncertainties described under the heading «Risk Factors» in the company's most recent Annual Report on Form 10 - K and in subsequent filings made by the company with the U.S. Securities and Exchange Commission («SEC»), which are available on the SEC's website at www.sec.gov.

Lastly, the network standard will also help usher in a new era of «personalized health care,» in which massive volumes of patient data can be used to develop predictive analytics which can then be tailored to an individual patient and their illness.

For example, Endicia uses package data and predictive analysis to guide ecommerce business owners» decisions, ranging from where to plant warehouses to how to improve delivery for the end - consumer through forecasted shipping costs and time in transit.

For instance, Facebook has used R in predictive analytics to answer questions like «Which data points predict whether a user will stay?

Make use of predictive analytics and big data to discover consumer patterns that allow you to craft targeted offers.

In other words, the two groups both said they were testing Twitter's predictive ability; in reality, they both examined the accuracy of predictions using tweets and additional data sources like movie openings in theaters and film ratings on International Movie Database and Rotten Tomatoes.

Willy Schlacks told me that he sees an even bigger opportunity in more advanced analytics, such as using predictive analysis to lower maintenance costs, using drones to monitor entire construction sites and aggregating data so that contractors can measure their performance against industry benchmarks.

These «robo - advisors» will be able to use predictive systems and market data to forecast stock trends and manage finances, as well as sort through tens of thousands of possible companies.

Predictive analytics use big data to help identify internal strengths, weaknesses, and opportunities so management can make strategic talent - based decisions.

«Most reputable data firms are using proven predictive modeling techniques on an individual level, whereas Cambridge was guilty of using fancy fake science terms on unwitting politicians who do not understand how data analytics work.

What data points is your analytics team using to create predictive models on what constitutes success and what does not.

Using cutting - edge blockchain and artificial - intelligence principles to traditional B2C and B2B marketplace models, Crowdz automates product search & sourcing, accelerates commercial transactions, and streamlines predictive - data analytics in ways never before possible.

EverString «s predictive demand generation platform helps companies identify and engage with the best customer prospects using applied data science.

-- Predictive analysis will be applied to Tmall.com transaction data to project order volume, which Cainiao and its deliver partners will use to allocate resources and respond to demand.

As increasing amounts of personal, business, and other forms of information are collected, firms are using computers to harness this data, and are creating machine - learning predictive software for various purposes, including helping consumers make better buying decisions.

Facebook's predictive ad service tool will make it possible for advertisers to build campaigns beyond user demographics and preferences, instead using data that anticipates user behavior and purchases, according to a «confidential» document obtained by The Intercept.

Using big data analysis as intelligence for monitoring the customer journey and identifying predictive behavioral indicators at each stage will provide your sales teams a significant advantage.

Whereas account - based marketing generally begins with a targeted account list, you can cast a wider net by establishing data centers using your personas and precise filtering to track online buying behaviors to incorporate predictive signals into your approach.

Bonusly Analytics uses the rich social data produced by the giving of microbonuses, and transforms it into useful data, predictive metrics, and timelines.

Use big data and predictive analytics to create unique experiences that adapt to your customers» context.

Data Science Leveraging data science and predictive analytics expertise, we built 20 custom data models that could be used to forecast voter behavData Science Leveraging data science and predictive analytics expertise, we built 20 custom data models that could be used to forecast voter behavdata science and predictive analytics expertise, we built 20 custom data models that could be used to forecast voter behavdata models that could be used to forecast voter behavior.

In terms of technological trends, I can see «big data» starting to arrive in the labeling industry to enable smart converters to better serve customer needs with predictive demand capabilities, using data from ERP systems to improve service levels and production efficiency.

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.

However using fairly straightforward statistical techniques it is possible to improve the predictive power of local elections quite substantially (the statistically minded reader can find the data and methodology here).

Approaches may just use current polling, i.e. a «nowcast» (e.g. Electoral Calculus, May2015.com and The Guardian), or add in a predictive element about how polling shifts based on historical data (e.g. ElectionForecast and Elections Etc.).

By using statistical models with point spread information and Pomeroy's data, the statisticians had two sets of pretty accurate predictive probabilities.

Gerber co-directs UVA's Predictive Technology Laboratory, which uses data to create predictive models with the goal of promoting better decisiPredictive Technology Laboratory, which uses data to create predictive models with the goal of promoting better decisipredictive models with the goal of promoting better decision making.

«This data will be used as a predictive management tool to inform conservation efforts to restore condor populations, particularly with regard to emerging threats such as climate change and wind energy impacts,» added Sheppard

Even though the pharmaceutical industry uses preclinical data and predictive algorithms to weed out drugs that are likely to fail because of toxicity, many still slip through the cracks.

The INSITE Center focuses on predictive analytics through the use of data from a variety of sources, including social media, sensors, mobile applications and Web - based platforms.

While drug use estimated from public health data is roughly equivalent across racial classifications (top), police using a predictive policing algorithm in Oakland, Calif., would target black people at roughly twice the rate of whites (bottom).

Tropsha and Min Shen, a recent Ph.D. graduate from his research group, developed predictive quantitative structure - activity relationship (QSAR) models using experimental data obtained by Kohn's group.

In predictive analysis, Lu hopes to use the system to take in signals with noise, like static from far - off radio stations, and produce a cleaner stream of data.

Dr Gloria Aguayo from the Luxembourg Institute of Health (LIH) and co-workers examined the predictive ability of 35 frailty scores for cardiovascular disease, cancer and all - cause mortality using data from the English Longitudinal Study of Ageing.

Dividing randomly the patient population in half, the team used data from one half to develop the predictive model, and then tested the model using data from the other half.

«We're hoping to impress upon the scientific community the notion that for those of us who might be interested in predicting an outcome of interest, possibly with rather complex or high dimensional data, we might gain by reconsidering the question as one of how to search for highly predictive variables (or variable sets) and using statistics that measure predictivity to help us identify those variables to then predict well,» Lo said.

Chawla pointed out that a data - driven organization may make predictions on millions of instances of streaming data every day using an in - house predictive model.

Your observations are contributing to a global database that will be used to by scientists to verify predictive models of mosquito population dynamics based on satellite data.

It is our job to use all the available techniques at the bedside to collect as much information as possible from the specimens of the patients, providing not only diagnostic but prognostic, and more importantly, predictive (therapy - orienting) data.

We are actively seeking a set of patient data that we can use to validate the biomarkers we have identified so we can create a comprehensive predictive model of response to allow us to better tailor treatment.»

Is it possible via the use of Big Data for a gifted predictive analyst to pinpoint what I am doing at a given hour on a given day with precision?

Furthermore, as the Teach Plus Fellows explain, these additional data can be used to «examine whether certain factors have predictive power» for improving student achievement.

First, we get all the historical transaction data and process through the machine learning process like we saw in earlier section, and eventually get a predictive model, that an application could later use to make decisions.