{"id":5189,"date":"2021-07-14T12:34:28","date_gmt":"2021-07-14T12:34:28","guid":{"rendered":"https:\/\/korsgy.com\/?page_id=5189"},"modified":"2021-08-23T12:46:44","modified_gmt":"2021-08-23T12:46:44","slug":"engineering","status":"publish","type":"page","link":"https:\/\/korsgy.com\/engineering\/","title":{"rendered":"Engineering"},"content":{"rendered":"\t\t
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Business Intelligence<\/h1>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Korsgy\u2019s business intelligence engineering Department<\/strong> is responsible for researching and analyzing clients data to support statistical analysis by the business<\/strong> and focusing on examining the data company stores and studying how it affects business<\/strong> operations and profitability.<\/p>\n

We work in tandem with clients, analysts, and database developers to translate collected data into business<\/strong> decisions. The solutions created by these engineers<\/strong> assist in the analysis, automation, and reporting of both internal and external client data.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t <\/div>\n <\/div>\n

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Data Engineering<\/h1>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Korsgy\u2019s Data Engineering Department (DED<\/strong>) is part of our more extensive\u00a0data<\/strong>\u00a0science solutions that focus on practical applications of\u00a0data<\/strong>\u00a0collection and analysis. We apply science to functional systems and\u00a0focus<\/strong>\u00a0on the applications and harvesting of big\u00a0data.<\/strong><\/p>

DED’s core function is to prepare data for analytical or operational client use. We do so by building data pipelines to bring together information from different source systems. Integrating, consolidating, and sanitizing data and package it for use in analytics applications. DED aims to make data easily accessible and to optimize client’s extensive data ecosystem.<\/p>

This department is supported by engineers skilled in programming languages such as C#, Java, Python, R, Ruby, Scala, and SQL.\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t <\/div>\n <\/div>\n

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Data Science<\/h1>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Korsgy\u2019s Data science (DSD) is an interdisciplinary and multidimensional field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data and apply knowledge and actionable insights from data across a broad application range.<\/p>

DSD uses artificial intelligence, especially its subfields of machine learning and deep learning, to create models and make predictions using algorithms and other techniques to power our clients’ data.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t <\/div>\n <\/div>\n

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System Architecture<\/h1>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The Korsgy system architecture Engineering (SAE) provides the conceptual model that defines the structure, behavior, and more system views. SAE enables our clients to have a formal description and representation of their system, organized to support reasoning about the structures and behaviors of the system.<\/p>

SAE Solutions and its documentation often serve as training or roadmap for internal and external developers. More specifically, SAE Department analyzes and recommends the right combination of IT components to achieve a specific business, department, team, or functional goal. Furthermore, the department objectively analyzes desired processes and outcomes and provides documentation on the right combination of IT\u00a0systems<\/strong>\u00a0and components to achieve those goals.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t <\/div>\n <\/div>\n

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Mechatronics\u00a0 Engineering<\/h1>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Korsgy’s Mechatronics engineering<\/strong>\u00a0Department (MED) is combines\u00a0engineering<\/strong>\u00a0physics and mathematics principles with materials science to design, analyze, manufacture, and maintain electromechanical systems. Focusing on integrating\u00a0mechanical<\/strong>,\u00a0electronic<\/strong>, and\u00a0electrical engineering<\/strong>\u00a0systems and includes a combination of robotics<\/strong>,\u00a0electronics<\/strong>, computer<\/strong>, telecommunications<\/strong>, systems<\/strong>, control<\/strong>, and product development<\/strong>.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t <\/div>\n <\/div>\n

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Electrical Engineering<\/h1>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Korsgy\u2019s Electrical Engineering Department (EED) focuses on the study, design, and application of equipment, devices, and systems that use electricity, electronics, and electromagnetism.<\/p>

Electronics, electrical circuits, electromagnetics, power engineering, electrical machines, telecommunication, Medical Devices, Smart Devices, automation systems, robotics, control systems, signal processing, optics, and photonics fields are where EED focuses on providing its integrated and interdisciplinary solutions<\/p>

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Electroacoustic Engineering<\/h1>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Korsgy’s Electroacoustic Engineering<\/b> (EAE) Department specializes in the science of sound and vibration (physics). EAE’s primary function is the control of noise or vibration that can affect individuals and improve the sound environment in the workplace in the context of Environmental Noise.<\/p>

Internally, EAE deals with the design of headphones, microphones, loudspeakers, sound systems, sound reproduction, and recording devices.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t <\/div>\n <\/div>\n

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Business Intelligence Korsgy\u2019s business intelligence engineering Department is responsible for researching and analyzing clients data to support statistical analysis by the business and focusing on examining the data company stores and studying how it affects business operations and profitability. We work in tandem with clients, analysts, and database developers to translate collected data into business decisions. The solutions created by these engineers assist in the […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_mi_skip_tracking":false,"footnotes":""},"_links":{"self":[{"href":"https:\/\/korsgy.com\/wp-json\/wp\/v2\/pages\/5189"}],"collection":[{"href":"https:\/\/korsgy.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/korsgy.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/korsgy.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/korsgy.com\/wp-json\/wp\/v2\/comments?post=5189"}],"version-history":[{"count":0,"href":"https:\/\/korsgy.com\/wp-json\/wp\/v2\/pages\/5189\/revisions"}],"wp:attachment":[{"href":"https:\/\/korsgy.com\/wp-json\/wp\/v2\/media?parent=5189"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}