Sentences with phrase «data modeling processes»

The three phases of the data modeling process will help you create an effective business.Events, Wikipedia.How to Write a Good Online Dating Profile.

Not exact matches

«What is created by this process,» Naumov said, «is an AI model that is trained on a company's specific customer - service data - set.

The new software targets data - intensive applications requiring high - speed access to massive volumes of information generated by countless devices, sensors, business processes, and social networks; examples include seismic data processing, risk management and financial analysis, weather modeling, and scientific research.

Updating their scoring models, automating data collection, and streamlining their funding processes would benefit both.

The Internet of Things combined with the ability to store massive amounts of data and powerful new analytical techniques like machine learning would help derive important new insights, automate processes and transform business models.

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.

Built on a unified data model and clinical intelligence, RxAdvance's PBM standard services include benefit design, artificial intelligence (AI) driven formulary design & modelling, claims processing, customer services, retail pharmacy network management, clinical services, and rebate management & modelling.

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.

Once China began the rebalancing process, I added, demand for iron ore had to collapse, and I could say this with full confidence not because I had disc drives filled with data and sophisticated correlation models that proved my case, but simply because this was the logic of the investment - driven growth model, and we had seen this same logic work its way many times before.

By: Kimberley Smuts 6th May 2016 The use of multiparametric block models, which contain more than just geological data, to analyse the risks associated with the mining process, allow more informed business decisions to be made on the basis of risk and exposure to that risk.

Backed by a string of notable investors including pi Ventures, Accel, IDG and Flipkart's Sachin and Binny Bansal, SigTuple, is soon launching its flagship solution, Manthana, which will use AI models to analyse medical data, for various diagnostics processes.

By removing hunches from the selection process, the models are able to identify stable businesses with strong fundamentals based on data, the types of companies that will withstand the ups and downs of the market over the long - term.

By abandoning traditional models and processes and allowing augmented human intelligence through our patented machine learning, Stratifyd has enabled our customers to turn their unstructured and unused data into revenue opportunities.

Against this position it is useless to argue that there are data that this philosophy does not illumine, and that mechanical models capable of explaining the processes of thought have not been devised.

Both Scripture and tradition contain much data to support the use of process models in the development of a Christian theology.

It would be like trying to model 1000 years of global climate change on a TRS - 80 computer when it takes a modern 16,000 processor supercomputer a week to process the data.

A process model is a relational model, drawing on the data of physics and biology, maintaining that we do indeed live in an interconnected universe where everything relates to everything else.

These 12 % operating expenses include costs associated with processing data on billions of performances, including those that are live, which cumulatively give BMI an accurate model of what is being played by all types of music users.

Secondly if we are processing this data in these algorithms and models, how do we open those up to scrutiny to ensure that people really do understand what government is saying.

We differentiated between computational approaches (either based on volume data, such as the number of mentions related to a party or candidate or the occurrence of particular hashtags; or endorsement data, such as the number of Twitter followers, Facebook friends or the number of «likes» received on Facebook walls), sentiment analysis approaches, that pay attention to the language and try to attach a qualitative meaning to the comments (posts, tweets) published by social media users employing automated tools for sentiment analysis (i.e., via natural language processing models or the employment of pre-defined ontological dictionaries), and finally what we call supervised and aggregated sentiment analysis (SASA), that is, techniques that exploit the human codification in their process and focus on the estimation of the aggregated distribution of the opinions, rather than on individual classification of each single text (Ceron et al. 2016).

Information flows will allow a range of other actors operating in the «normal» economy and society to engage and different relations to be created.Shifts in information flows will produce data enabling markets and modeling, where risk and return may be calculable, products and delivery can be priced and transactions can be processed.

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.

Old school fieldwork is also part of the process: Goebel, for example, is looking forward to excavating sites in Alaska that might challenge or augment the migration models created with genetic data.

This is because the models are based on equations representing the best understanding of the physical processes that govern climate, and in 2001 they were not fine - tuned to reproduce the most recent data.

Due to the real «go on ice» researchers receive the unique scientific data, which is then used in construction of mathematical models among them are integral characteristics of the processes (the diameter and depth of explosive lanes, etc.).

After three years of working, developing techniques and processing data the results in the paper are a three - dimensional model for the structure of the infectious prion protein.

The ruling against the 15 - year - old Safe Harbour deal threatens the business model of companies which use US servers to process European users» data, including Google, Apple, Microsoft and Facebook.

«This is precisely why a comprehensive mathematical model is so useful: we use accessible data from the production process in real time, such as the concentration of various substances in the bioreactor, and use our computer model to calculate the most probable state of the process.»

The development of a model for confidence is a first step toward Kepecs» ultimate goal to find out where this inner statistician sits in the brain and how it does its data processing.

«We now have a model that incorporates this seemingly contradictory data and points to a single and simple process for condensed chromosome organization across all cell types.

Any results that are reported to constitute a blinded, independent validation of a statistical model (or mathematical classifier or predictor) must be accompanied by a detailed explanation that includes: 1) specification of the exact «locked down» form of the model, including all data processing steps, algorithm for calculating the model output, and any cutpoints that might be applied to the model output for final classification, 2) date on which the model or predictor was fully locked down in exactly the form described, 3) name of the individual (s) who maintained the blinded data and oversaw the evaluation (e.g., honest broker), 4) statement of assurance that no modifications, additions, or exclusion were made to the validation data set from the point at which the model was locked down and that neither the validation data nor any subset of it had ever been used to assess or refine the model being tested

The researchers also were able to use models trained with data from one human subject to predict and decode the brain activity of a different human subject, a process called cross-subject encoding and decoding.

Other systems might extract 2 - D information from each camera, build out a full 3 - D model of the environment, and then process and redisplay the data.

Bayesian modelling enables the description of the whole biological process even if the amount of data available is small.

Evidence for this hierarchical model of galaxy evolution has been mounting, but these latest ALMA data show a strikingly clear picture of the all - important first steps along this process when the Universe was only 8 percent of its current age.

Replacement alternative methods include the use of data concerning the physicochemical properties of chemicals; predictions based on structure - activity relationships, including the use of qualitative and quantitative mathematical models; the biokinetic modelling of physiological, pharmacological, and toxicological processes; experiments on lower organisms not classed as?

Some of that backlog is bureaucratic: FEMA only uses officially approved models, he says, and the processes of approval can slow down the inclusion of newer, better data.

Included in the new data are finer - scale cloud processes than have been available in previous climate models.

The model has thus learned to note when you fixate on text in a characteristic pattern which we could not have described in advance,» explains PhD Sigrid Klerke who has just defended her PhD thesis «Glimpsed — improving natural language processing with gaze data» on how gaze data can be used to improve technology such as machine translation and automatic text simplification.

The geologists then tried to reproduce the same digital data using a computer model for stromatolite growth that didn't involve any biological processes.

Muotri noted that the research represents one of the first efforts to use iPSCs and brain in - a-dish technology to generate novel insights about a disease process and not simply replicate data from other models.

Running these data through a computer model, they found that they could get the experimental results and model output to agree only when they included two charmonium pentaquarks in the lambda - b decay process — one having a mass of 4.45 gigaelectronvolts (GeV) and the other a mass of 4.38 GeV.

In late 2012 he finally founded Neural Bytes, which models human brain processing using data from neurophysiological and neuroimaging studies.

As we enter the second decade of a decoded, accessible Human Genome, and as progress in therapeutics becomes more data and systems - driven, the discovery process, the business models, the delivery mechanisms and the economics are all starting to change.

Using large - scale numerical modeling as well as GPS velocities from the largest GPS data - processing center in the world — the Nevada Geodetic Laboratory at the University of Nevada, Reno — Kreemer and Gordon have showed that cooling of the lithosphere, the outermost layer of Earth, makes some sections of the Pacific plate contract horizontally at faster rates than other sections.

Now, the same groups have built more elaborate models that paint a detailed picture of how the British countryside was ravaged by the FMD virus, taking into account things such as the location of every farm, the estimated number of pigs, cattle, and sheep each farm contained, as well as exhaustive data about the spread of the disease and the culling process.

«We designed ASTM E3012 - 16 to let manufacturers virtually characterize their production processes as computer models, and then, using a standardized method, «plug and play» the environmental data for each process step to visualize impacts and identify areas for improving overall sustainability of the system,» Lyons said.

The study analyses data obtained from the simulation forest growth model GOTILWA + (Growth Of Trees Is Limited by WAter), based on ecophysiological processes.

The team then used sophisticated computer modeling systems to process the scan data and simulate how the amount and distribution of bone loss would affect the ability to sustain mechanical loads and movements.

So similar are the two that researchers at the University of Georgia's Regenerative Bioscience Center have developed the first U.S. pig model for stroke treatments, which will provide essential preclinical data and speed the drug discovery process.