Sentences with phrase «on predictive data»

Get immediate feedback on your predictive data modeling, leading to powerful budgeting and forecasting capabilities.

Over the past year, DiscoverOrg has expanded its sales & marketing intelligence offerings to include a robust account - based marketing suite of tools aimed at helping customers identify and expand their audience of best fit prospects and prioritize them based on predictive data that indicates likelihood to purchase.

Not exact matches

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.

For instance, relying only on past hiring data to build predictive algorithms could reinforce problems, says Hammond of HiQ.

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.

Once code is set up to port data within a predictive model, one can also automate that model's visualization and capitalize on it as a moneymaker.

«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.

While it is more widely known that machine learning is utilized as a way to provide recommendations or suggestions on platforms such as Pandora and Spotify and with ecommerce companies such as Amazon and eBay, many may not know that machine learning and data mining are also employed within businesses to provide intelligent business insights via utilizing data and employing predictive analytics.

These more structured data resources then provide the means for yet another application of AI - based algorithms, where the focus is on identifying patterns in data that ultimately provide the basis for predictive sales and marketing models.

Pairing Cambridge Analytica's extensive collection of consumer data with the client's limited data on current customers, several audiences of likely new customers were created via an ensemble of predictive analytics techniques.

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

True sales intelligence needs to include both information on the account, such as reporting structure, budgets and, technology install base data; as well as intelligence on the individual prospects, like job responsibilities, verified contact data, and predictive indicators around purchase intent.

That's why Opportunity or «trigger» information becomes a truly predictive piece of the purchasing puzzle — when it's layered on top of Fit and Intent data.

Many cleantech entrepreneurs are building physical infrastructure products, while many others are focused on creating value and services with data and predictive analytics — and today more and more of them are doing both.

Leveraging 60,000 + senior IT professionals and robust data - collection methodologies, we provide rapid, relevant, and predictive insight on customer sentiment, technology choices, and spending plans across key markets.

Our roadmap is focused on accelerated data collection, deeper predictive analytics, enhanced account - based marketing capabilities, and seamless data optimization and enrichment in CRM, marketing automation, and sales engagement tools.

Best of breed solutions and significantly increased investment in product innovation focused on accelerated data collection, deeper predictive analytics, enhanced account - based marketing capabilities, and seamless data optimization and enrichment in CRM, marketing automation, and sales engagement tools

There is little predictive value, given our limited data, on how teams perform after a coach is replaced in - season.

«Collectively, data on eye movement testing demonstrates a high degree of sensitivity and predictive value as an outcome measure for concussion,» observes the study.

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.).

Based on voter data and predictive modeling, the campaign's 100 volunteers have made over 267,000 voter contact calls, and have knocked on over 14,400 doors, Alcivar said.

Scientists are harvesting data from the internet, social media, blog posts, news media, Google search terms and government sites, and transforming it into predictive models to map the spread of the Zika virus, according to a presentation before a bipartisan House briefing hosted by AAAS on 6 June.

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.

Based on the results of that test, Beaty and colleagues developed a predictive model and tested against brain scan data collected for earlier studies on creativity.

What we don't know yet, because the data sets have mostly been collected on blood cells, is which will turn out to be better in terms of predictive power for disease risk.

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.

To assess the predictive power of the GE changes between the groups, we employed machine - learning procedures to construct classifiers to predict group membership based on pre - versus post-intervention GE (vacation effect) and regular versus non-regular post-intervention GE data (meditation effect).

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 also recommended that the current voluntary restriction on insurers» ability to ask for predictive genetic test results should be renewed, in the light of public concerns over genomic data disclosure to insurers and the risk that this might result in many «refusing their consent to receive additional findings from whole genome sequencing».

To demonstrate the predictive value of individual differences in morphometric patterns of gray matter density for intelligence, we applied voxel - based morphometry (VBM) on structural magnetic resonance imaging (MRI) data from 308 adult participants (Nooner et al., 2012).

Her research interests are focused on the reconstruction of cell response networks from integrated gene and protein expression data to enable predictive mechanistic modeling of disease and toxicity pathways.

«A lot of his success can be attributed to his drive and focus on data and predictive analytics.»

So AI is already superior in repetitive and predictive tasks, tasks that hinge on computational power, classifying huge amounts of data and inputs, making decisions based on concrete rules — with fewer biases than humans, but still induced by algorithms and data sets chosen by humans.

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?

Predictive Learning Analytics relies on a collection of techniques that identify and measure patterns in learning data and extrapolate future behaviors.

Maybe, the case was that a large piece of predictive data is based on which city the customer resides in or what is his occupation or even how long he lives at his current address.

where students can not only access their data but understand it and have access to predictive analytics that help them understand if they're on track to meet their goals, alert them when they're off track, and lead them to strategies to get back on track.

She has partnered with institutions around the country to help them base their decisions on data, incorporate predictive analytics, design interventions to solve process challenges, and test those interventions in randomized field trials or other rigorous research designs.

When the factors are constructed using data on college attendance, the predictive effect of a 1 - SD increase in the teacher factor is 0.79 percentage points.

More directly, I can define teacher and school factors based on the college attendance data and measure the predictive effect of the teacher factor on college attendance.

Predictive modeling estimates individuals» probabilities of future outcomes by building and testing a model using data on similar individuals whose outcomes are already known.

Each district can also provide its own data on the predictive value of the instrument.

Early Warning Systems (EWS) combine predictive student data with a response system to ensure that all students have the support in order to be on - track to high school graduation and post-secondary success.

Predictive analytics provides insights based on existing data.

Enable educators to leverage rich data and predictive analytics to accurately identify at - risk students, easily implement interventions, and get them back on track.

[31] All of the analysts noted the importance of making sure that scores on the old tests are predictive of students» performance on the new tests before calculating value - added using data from both tests.

Using data from 3,000 teachers, the Gates MET study found that survey results were broadly predictive of teacher impact on student learning.

We use longitudinal data from Washington State to provide estimates of the extent to which performance on the edTPA, a performance - based, subject - specific assessment of teacher candidates, is predictive of the likelihood of employment in the teacher workforce and value - added measures of teacher effectiveness.

It's why the use of VAM (Value Added Measures) can not contribute valid or reliable data to a teacher's effectiveness rating — because VAM is a predictive model based on comparing a set of actual student test scores against a hypothetical group of scores.

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