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Office 365 Engineer in Arlington, VA

Intelligent Decisions

Arlington, VA 22201
8w ago


Systems Architecture & Engineering


11 - 15 years

Job Description

At Applied Insight, we leave no stone unturned in solving our customers' technology challenges. Supporting the Federal Government with the strongest mission focus, our solutions empower people to collaborate more effectively in delivering services vital to the nation. Our unique approach to information technology considers people first. We make it our job to understand our customer's mission and the user's reality right from the start, combining technology and process to deliver what customers really need to succeed – from adaptation to innovation – drawing on our long experience of supporting the US Defense, Intelligence and Federal Civilian communities.

A day in the life-- a few of the things you might be doing on any given day:

  • Significant experience with managing, customizing users in an O365 hosted environment for messaging, One Drive, Skype for Business & TEAMS
  • Expert level proficiency in Microsoft PowerShell
  • Expert knowl
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Valid through: 2020-2-18

About Intelligent Decisions

An intelligent decision support system (IDSS) is a decision support system that makes extensive use of artificial intelligence (AI) techniques. Use of AI techniques in management information systems has a long history – indeed terms such as "Knowledge-based systems" (KBS) and "intelligent systems" have been used since the early 1980s to describe components of management systems, but the term "Intelligent decision support system" is thought to originate with Clyde Holsapple and Andrew Whinston in the late 1970s. Examples of specialized intelligent decision support systems include Flexible manufacturing systems (FMS), intelligent marketing decision support systems and medical diagnosis systems. Ideally, an intelligent decision support system should behave like a human consultant: supporting decision makers by gathering and analysing evidence, identifying and diagnosing problems, proposing possible courses of action and evaluating such proposed actions. The aim of the AI techniques embedded in an intelligent decision support system is to enable these tasks to be performed by a computer, while emulating human capabilities as closely as possible. Many IDSS implementations are based on expert systems, a well established type of KBS that encode knowledge and emulate the cognitive behaviours of human experts using predicate logic rules, and have been shown to perform better than the original human experts in some circumstances. Expert systems emerged as practical applications in the 1980s based on research in artificial intelligence performed during the late 1960s and early 1970s. They typically combine knowledge of a particular application domain with an inference capability to enable the system to propose decisions or diagnoses. Accuracy and consistency can be comparable to (or even exceed) that of human experts when the decision parameters are well known (e.g. if a common disease is being diagnosed), but performance can be poor when novel or uncertain circumstances arise.
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