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47. Are different versions of process maps needed to account for the different types of inputs?
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48. Have all basic functions of Artificial Intelligence for IT Operations been defined?
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49. Is there a clear Artificial Intelligence for IT Operations case definition?
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50. What are the boundaries of the scope? What is in bounds and what is not? What is the start point? What is the stop point?
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51. What are the dynamics of the communication plan?
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52. When is the estimated completion date?
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53. Have all of the relationships been defined properly?
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54. How would you define the culture at your organization, how susceptible is it to Artificial Intelligence for IT Operations changes?
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55. What is a worst-case scenario for losses?
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56. What are the tasks and definitions?
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57. What knowledge or experience is required?
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58. How do you gather requirements?
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59. Is the work to date meeting requirements?
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60. If substitutes have been appointed, have they been briefed on the Artificial Intelligence for IT Operations goals and received regular communications as to the progress to date?
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61. Do you have a Artificial Intelligence for IT Operations success story or case study ready to tell and share?
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62. Is the team adequately staffed with the desired cross-functionality? If not, what additional resources are available to the team?
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63. Is special Artificial Intelligence for IT Operations user knowledge required?
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64. Do the problem and goal statements meet the SMART criteria (specific, measurable, attainable, relevant, and time-bound)?
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65. What defines best in class?
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66. Is there a critical path to deliver Artificial Intelligence for IT Operations results?
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67. Has/have the customer(s) been identified?
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68. How do you hand over Artificial Intelligence for IT Operations context?
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69. Has anyone else (internal or external to the group) attempted to solve this problem or a similar one before? If so, what knowledge can be leveraged from these previous efforts?
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70. What is the definition of success?
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71. Are the Artificial Intelligence for IT Operations requirements complete?
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72. Are there any constraints known that bear on the ability to perform Artificial Intelligence for IT Operations work? How is the team addressing them?
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73. What are the Artificial Intelligence for IT Operations use cases?
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74. What Artificial Intelligence for IT Operations services do you require?
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75. How does the Artificial Intelligence for IT Operations manager ensure against scope creep?
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76. What is in scope?
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77. What customer feedback methods were used to solicit their input?
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78. What is out-of-scope initially?
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79. Are roles and responsibilities formally defined?
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80. What baselines are required to be defined and managed?
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81. How are consistent Artificial Intelligence for IT Operations definitions important?
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82. Is data collected and displayed to better understand customer(s) critical needs and requirements.
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83. What are (control) requirements for Artificial Intelligence for IT Operations Information?
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84. What would be the goal or target for a Artificial Intelligence for IT Operations’s improvement team?
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85. Does the scope remain the same?
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86. Do you all define Artificial Intelligence for IT Operations in the same way?
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87. How will variation in the actual durations of each activity be dealt with to ensure that the expected Artificial Intelligence for IT Operations results are met?
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88. What sources do you use to gather information for a Artificial Intelligence for IT Operations study?
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