Not exact matches
Terranova gives the example of car manufacturers that need to marry proprietary engineering
data with customer feedback in order to build accurate
predictive models for vehicle maintenance problems.
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.
Today, the company announced it had created the largest database of job candidates,
with one billion professional profiles and an algorithm that applies big
data and
predictive analytics to match recruiters
with relevant, qualified candidates.
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.
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.
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.
Bhargava was previously associated
with Goldman Sachs» AppBank Engineering division, building systems for streaming big
data and
predictive analytics.
Combine historical
data with smart,
predictive metrics to drive future strategy.
EverString «s
predictive demand generation platform helps companies identify and engage
with the best customer prospects using applied
data science.
«The path to rapid revenue growth is paved
with highly accurate, actionable, and
predictive sales and marketing
data, and the combination of RainKing and DiscoverOrg means that our joint customer base has access to an extraordinary portfolio of
data, contextual buying insights, and
predictive intelligence,» said Henry Schuck, DiscoverOrg CEO.
That said, we think over the course of 2018 and 2019 investors could come to appreciate how technology companies
with large and compounding datasets will be able to combine their
data with machine learning algorithms to create new sources of revenue, reduce costs, build
predictive models and create compounding competitive advantages.
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.
Predictive analytics combined
with flash storage radically simplify IT operations in your
data center and in the cloud.
Providing customers
with a world - class portfolio of enterprise - grade scalable solutions
with analytics built - in, Micro Focus delivers customer - centered innovation across DevOps, Hybrid IT Management, Security &
Data Management, and
Predictive Analytics.
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.
The correlations are shown to be strong already, we may get to the stage
with even better
predictive data where we may not then even have to play the season out — we will know in advance!)
With a 10 inch screen it offers
predictive text which is great, if you dislike virtual keyboard
data input.
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 decisi
Predictive Technology Laboratory, which uses
data to create
predictive models with the goal of promoting better decisi
predictive 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
To develop their
predictive model, Dr. Miller and colleagues evaluated 57,588 patients in the National Trauma
Data Bank over age 50 who had blunt trauma
with isolated brain injury.
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.
This paleo climatic
data and the distribution of archaeological sites associated
with the HP, as well of that of the Still Bay tradition, which existed in the same environments about 5,000 years before (76,000 to 71,000 years ago), enabled the researchers to model the emergence of these traditions
with two
predictive algorithms that permitted them to reconstruct the ecological niche associated
with each tradition and determine whether these niches differed significantly through time.
«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.
In this presentation, we discuss
data from studies conducted
with academic, clinical, and industry collaborators that demonstrates the utility of the system as a more
predictive, human - relevant alternative for efficacy and safety testing of new chemical entitites.
We foresee a recursive circle of precision medicine that integrates the expertise of doctors and clinicians,
data generated by wearables and other devices, the analytic and
predictive power of artificial intelligence, together
with our living products.
Christina's research leverages genome - scale
data, coupled
with computational modeling and iterative experimentation in order to define the molecular determinants and dynamics of tumor progression and to develop
predictive and prognostic biomarkers.
They are developing novel computational approaches that combine molecular interaction and pathway information
with «omics
data to develop clinically
predictive models and identify therapeutically targetable pathways.
Within the HydroGEN EMN consortium, high - throughput experiments (HTE) as described here are expected to be closely coupled
with predictive theory, focused materials synthesis, detailed characterization and advanced
data analytics to maximally accelerate materials discovery and development.
Jonathan Beber, who leads eHarmony's
data science, approached the ISI duo
with a problem: how to reduce eHarmony's questionnaire; what is the minimum amount of questions eHarmony can ask without losing its
predictive compatibility power.
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.
My first response was that such precise
predictive personal
data is not possible, even
with the high level of technology that we have access to.
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?
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.
We use basic multiple linear regression models along
with factors in the US Census
data that relate to community social capital and family human capital to create
predictive algorithms.
Partnership
with SRI International (SRI) and School Readiness Consulting (SRC) to support the implementation of VPI + through the collection and use of formative program measures, summative child assessments, and cost - effectiveness
data to provide feedback for continuous improvement of instruction and program implementation, administer
predictive tests and analyze results to answer pressing questions, and communicate results
with VDOE, school divisions, and teachers
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.
SAEBRS is quick to administer,
predictive of risk, and provides teachers
with data to inform instruction.
aMath is quick to administer,
predictive of risk, and provides teachers
with data to inform instruction
Available
Predictive Efficient Drive
with Predictive Deceleration Support collects daily driving
data to predict points of deceleration and stopping.
Besides the Adaptive Cruise Control — that adjusts the car speed after the car in front of you — Bentayga comes
with Predictive Cruise Control, a system that uses the navigation
data, sensors and cameras to predict upcoming corners, city boundaries and speed - limit changes and can then modify the vehicle speed accordingly, improving both comfort and fuel economy.
Available as an option for the first time are
predictive cornering lights
with predictive control — using camera - based information and navigation
data, the bend is already illuminated before the driver steers into it.
The
data on the near surroundings from the sensors for piloted driving, the
predictive route
data from the navigation system and the real - time traffic information from Audi connect also flow into this computation, always
with the aim of optimally adjusting the drive train to the prevailing conditions.
Automatic models equipped
with navigation benefit from the Rolls - Royce Wraith - like
Predictive Drivetrain which uses GPS
data to pick out the right gear to suit what's ahead, reducing unnecessary shifting through corners, roundabouts or highway exits.
In addition,
data becomes less
predictive with age.
Using historical market
data from 1934 to 1972 and analyzing returns assuming various levels of
predictive ability, the result is that in order to perform better than simply remaining fully invested in stocks, one must be able to predict the market
with at least 83 % accuracy, a
predictive ability that would be extremely difficult for even the best market timer to sustain.
ATTOM
Data released its Q3 2017 Pre-Mover Housing Index, which shows that the markets
with the highest pre-mover indices during the third quarter —
predictive of strong sales activity in... more
The scores were significantly more
predictive than using bureau
data alone and designed to demonstrate repayment odds consistent
with traditional FICO ® Scores.
As result, the assessed value of model's
predictive power must be considered mostly as a matter of computational curiousity,
with some resemblance to historical
data being by design and as a result of subjective trajectory discrimination.
eg pg xii To improve our
predictive capability, we need: • to understand better the various climate - related processes, particularly those associated
with clouds, oceans and the carbon cycle • to improve the systematic observation of climate - related variables on a global basis, and further investigate changes which took place in the past • to develop improved models of the Earth's climate system • to increase support for national and international climate research activities, especially in developing countries • to facilitate international exchange of climate
data