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89. What is the worst case scenario?
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90. Has your scope been defined?
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91. Are task requirements clearly defined?
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92. What scope to assess?
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93. What is the definition of Artificial Intelligence for IT Operations excellence?
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94. Is there a completed SIPOC representation, describing the Suppliers, Inputs, Process, Outputs, and Customers?
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95. How do you think the partners involved in Artificial Intelligence for IT Operations would have defined success?
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96. Does the team have regular meetings?
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97. Will a Artificial Intelligence for IT Operations production readiness review be required?
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98. Are the Artificial Intelligence for IT Operations requirements testable?
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99. Have specific policy objectives been defined?
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100. What is the scope of the Artificial Intelligence for IT Operations work?
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101. What sort of initial information to gather?
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102. Has the direction changed at all during the course of Artificial Intelligence for IT Operations? If so, when did it change and why?
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103. What intelligence can you gather?
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104. What information do you gather?
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105. How will the Artificial Intelligence for IT Operations team and the group measure complete success of Artificial Intelligence for IT Operations?
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106. What happens if Artificial Intelligence for IT Operations’s scope changes?
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107. How often are the team meetings?
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108. Has everyone on the team, including the team leaders, been properly trained?
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109. What are the compelling stakeholder reasons for embarking on Artificial Intelligence for IT Operations?
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110. Are required metrics defined, what are they?
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111. Are audit criteria, scope, frequency and methods defined?
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112. Do you have organizational privacy requirements?
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113. What specifically is the problem? Where does it occur? When does it occur? What is its extent?
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114. What are the Artificial Intelligence for IT Operations tasks and definitions?
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115. How do you manage unclear Artificial Intelligence for IT Operations requirements?
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116. Is the team equipped with available and reliable resources?
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117. How would you define Artificial Intelligence for IT Operations leadership?
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118. Is Artificial Intelligence for IT Operations required?
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119. Is there any additional Artificial Intelligence for IT Operations definition of success?
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120. Are accountability and ownership for Artificial Intelligence for IT Operations clearly defined?
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121. Has a high-level ‘as is’ process map been completed, verified and validated?
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122. Is scope creep really all bad news?
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123. What critical content must be communicated – who, what, when, where, and how?
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124. Are approval levels defined for contracts and supplements to contracts?
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125. Scope of sensitive information?
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126. What gets examined?
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127. What are the Roles and Responsibilities for each team member and its leadership? Where is this documented?
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128. Who defines (or who defined) the rules and roles?
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129. Is there a Artificial Intelligence for IT Operations management charter, including stakeholder case, problem and goal statements, scope, milestones, roles and responsibilities, communication plan?
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130. Has the improvement team collected the ‘voice of the customer’ (obtained feedback – qualitative and quantitative)?
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131. Is Artificial Intelligence for IT Operations currently on schedule according to the plan?
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