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미국의 가족지원정책
한국과 미국의 장애인 가족지원정책 비교(한국,미국,장애인 가족지원정책, 한국장애인, 미국장애인, 외국장애인, 서비스, 장애인가정, 해외장애가정)
미국 유럽 국제화지원
[중소벤처기업창업] 중소벤처기업창업의 개념, 중소벤처기업창업의 절차, 중소벤처기업창업시 인력지원제도와 조세지원제도, 중소벤처기업창업시 규제완화지원제도와 기타지원제도, 미국의 중소벤처기업창업지원 사례 분석
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미국 대학원 지원_SOP (Statement Of Purpose)_Grad Admissions_GIT_Analytics_Proofreading Service Verified에 대한 자료입니다.
본문내용
I unexpectedly found a potential solution while I was examining a gas turbine for my power plant project at one of my suppliers, General Electric (GE). I was surprised to find out its application of analytics to the turbine. The sensors were installed to collect real-time data, which enabled GEs data scientists to remotely monitor the equipments performance from a centralized data center and improve its efficiency by applying analytical solution to optimize the turbines system. Based on this encounter with GEs smart features, I began exploring the potency of analytics. The connection between data and machine and the utilization of valuable information derived using analytical data was an innovation that could revolutionize my analytical methods.
What intrigues me most about this field is the concept of data discovery, namely, discovering insights and developing data-based products, services, or features, which enable data scientists to not only support businesses by assisting with management-level decisions, but also by offering new products or features that enhance the users experience, and generate new channels for profits. LinkedInsPeople You May Know, which provides users with a list of people it thinks the user is likely to know, is an example of data product I aspire to develop. I find the concept of data discovery especially fascinating because I realized during my work there is no position at eTEC that performs both a supporting role and is directly involved with developing products; instead, each of these tasks is strictly divided between engineers who designed structures and personnel like myself who supported their endeavors by implementing cost control measures and procurement. With analytics, I could take on both roles, allowing me to make greater contributions to the business by not only optimizing the decision-making and business operation, but also creating new lines of revenue through development of data-based offerings, which is the type of work that I hope to focus on during my career.