large scale analytics
background

Large-scale data analysis is the process of running data analysis techniques against big data repositories. It is quite a challenging task both from the analytical and the infrastructural point of view. However, it allows employing massive amounts of data and therefore providing right intervention to the right patients at the right time.

business challenges

Our task was to estimate the global effect of a certain business decision onto the certain groups of the customers.



value delivered

We have built propensity models to describe the hidden relation between drugs and diseases on one hand and the treatment outcome on the other.



approach

Large scale analytics employs Spark and Hadoop ecosystems to efficiently manage and query bid data repositories. On top of this infrastructure, we have used a number of state-of-the-art techniques, such as statistical analysis,deep learning, cluster analysis, and advanced data visualization to get the insight into the data internal relations.


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case studies

our expertise in

AI technologies

data mining

PCA
K-means
Decision trees
Linear models
PageRank

digital signal processing

Digital filters
DTW

machine learning

Deep learning
Probabilistic graphical models
CART
ensembles
unsupervised sound segmentation
recurrent models
bayesian approach
probabilistic programming
hmm

image processing and
computer vision

alexnet
vgg
vae

natural language
processing

PCA
TF-IDF
LDA
SVM
Naive bayes
word2vec
attention models

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about us

Hi, we are Sciforce - a company where the integration of various branches of science builds up a powerful force to create robust software solutions. Working at the intersection of Computer Science with other technical, natural and humanitarian sciences let us go beyond traditional IT services and become both technical and scientific forces to our customers.