Machine Learning (ML)

The technology of introducing new algorithms from data as well as past experience to accomplish tasks without human involvement. Based on the retrieved information, the algorithms make predictions, form personalized recommendations, recognize images in photographs, videos, etc.

BUSINESS CHALLENGES

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Monitor product quality at all stages of production.

Use the solution to build a model to predict equipment failure and defective products based on sensor readings collected during the operation of the line.

Reduce the number and cost of defects and failures by discovering them in the early stages.

SOLUTIONS & PRODUCTS

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The system receives video from cameras mounted on drones, analyzes data, and recognizes damage to power lines from video or photo.

The system notifies employees of incidents and allows to generate reports.

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The solution recognizes the logo of the tire manufacturer from the photograph, extracts information about tire parameters: brand, model, size, type, and season. AI helps to assess, which tire types are the most popular.

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Analyze current tasks and estimate their implementation time based on historical data using the project risk prediction system.

The solution finds “weak points” in the project – underestimated and overestimated tasks.

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Reduce the workload on call centre personnel: let the chatbot process same-type routine queries, so that employees can focus on non-standard requests.  The client receives a consultation at any time of a day and does not have to wait until the human operator is available.

SOLUTIONS & PRODUCTS

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The company receives hundreds of CVs in free form. The HR specialists spend a lot of time reformatting all CVs.

Simplify extraction of candidates’ contact telephone number, name, personal information and other data from CV-files. The solution automatically uploads the data into corporate systems in pdf, doc or RTF formats.

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The company promotes its services and products via different channels – radio, TV, outdoor advertising, etc.

Use machine learning models to determine the most effective advertising channels, develop promotion scenarios and optimize budget allocation.

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Monitor and analyze customer reviews in forums, social networks, analyze call centre incidents.

The solution determines feedback sentiment, its subject matter and visualizes feedbacks’ distribution on the map.

Using the application, employees compare the company with competitors

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Mark up data for training of ML models with the Marker tool.

Use ML-Tag to classify texts, determine semantic categories the text belongs to and extract the necessary information.

To get started, upload documents to the tool, manually highlight the relevant clusters, and then send them to the machine learning utility

SOLUTIONS & PRODUCTS

Machine Learning SERVICES

We analyze customer’s business processes, develop and test ML algorithms, customize third-party solutions, and integrate Machine Learning solutions with customer’s IT infrastructure.

Text mining

We develop solutions that recognize text, extract the necessary information and process it.

Predictive analytics

We develop systems for data mining and predictive modelling.

Computer vision

We design solutions that retrieve and analyze information from photos and videos, recognize emotions.

Machine Learning in RPA

We create robots that are trained to analyze and process new information with varying structure.

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