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SoftServe’s main objective was to determine whether machine learning could be utilized to develop an algorithm model to predict the potential or imminent failure of a valve.
Our client was looking for an assessment of its quality control process.
Our client is a key player in the mobile and home power storage space. Its lithium-ion based power station runs all essential devices with clean, robust power.
SoftServe needed to deploy the client’s environment in the GCP with all security policies met and all deployment processes fully automated.
SoftServe developed a platform for Google Oil & Gas that could process different types of input files, extract meaning, and provide advanced analytic capabilities for particular geodesic problems.
SoftServe implemented an intelligent Geo-Exploration solution to digitize documents and build intelligence related to the industry in digital documents.