Innovative AI/ML and Data Solutions

Experimental Design and Hypothesis Testing

A statistical hypothesis test is a method of statistical inference. Statistics are helpful in analyzing most collections of data. This is especially important when no scientific theory exists, in which case hypothesis testing can substantiate or invalidate assumptions considered.


Data Analytics

Data Analytics is a set of techniques for extracting insights from raw data. It helps businesses to learn lessons from past in order to optimize their performance in future. Data analytics techniques can reveal trends and metrics that would otherwise be lost in the flood of information.


Natural Language Processing

Latest NLP techniques use numeric vectors to represent words and word sequences, placing synonyms and similar documents in close proximity in the multidimensional space. These techniques open unprecedented possibilities for solving various tasks, such as information retrieval, machine translation, text summarisation and more.


Computer Vision

ML for video and image processing offer new, efficient methods to detect and label objects, tag events, modify and enhance image quality. Real-time video processing is widely used in autonomous cars and security footage analysis.


Anomaly Detection

ML can also learn patterns in the data, filter out noise allowing to measure changes in the base signal. While traditional signal processing helps to discover periodicities of the repeated patterns.


Time Series Modelling

Time series analysis is the analysis of the data collected sequentially in time. The time-series models are used to analyse and predict future events. Event forecasting can be useful for proactive system scaling and resource provisioning, stock planning, anomaly detection and security monitoring.