Читать книгу Artificial Intelligence For IT Operations A Complete Guide - 2020 Edition - Gerardus Blokdyk - Страница 7
ОглавлениеCRITERION #1: RECOGNIZE
INTENT: Be aware of the need for change. Recognize that there is an unfavorable variation, problem or symptom.
In my belief, the answer to this question is clearly defined:
5 Strongly Agree
4 Agree
3 Neutral
2 Disagree
1 Strongly Disagree
1. Does the problem have ethical dimensions?
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2. What are the stakeholder objectives to be achieved with Artificial Intelligence for IT Operations?
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3. What do employees need in the short term?
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4. Would you recognize a threat from the inside?
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5. Are employees recognized for desired behaviors?
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6. Who else hopes to benefit from it?
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7. Whom do you really need or want to serve?
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8. Does Artificial Intelligence for IT Operations create potential expectations in other areas that need to be recognized and considered?
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9. What creative shifts do you need to take?
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10. What are the expected benefits of Artificial Intelligence for IT Operations to the stakeholder?
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11. Do you need to avoid or amend any Artificial Intelligence for IT Operations activities?
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12. Will new equipment/products be required to facilitate Artificial Intelligence for IT Operations delivery, for example is new software needed?
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13. Consider your own Artificial Intelligence for IT Operations project, what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?
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14. Who are your key stakeholders who need to sign off?
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15. Are there any revenue recognition issues?
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16. Are controls defined to recognize and contain problems?
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17. Where do you need to exercise leadership?
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18. What do you need to start doing?
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19. What would happen if Artificial Intelligence for IT Operations weren’t done?
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20. What problems are you facing and how do you consider Artificial Intelligence for IT Operations will circumvent those obstacles?
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21. How are training requirements identified?
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22. How can auditing be a preventative security measure?
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23. To what extent would your organization benefit from being recognized as a award recipient?
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24. What needs to be done?
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25. Which information does the Artificial Intelligence for IT Operations business case need to include?
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26. Will Artificial Intelligence for IT Operations deliverables need to be tested and, if so, by whom?
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27. How do you identify the kinds of information that you will need?
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28. Are you dealing with any of the same issues today as yesterday? What can you do about this?
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29. What are your needs in relation to Artificial Intelligence for IT Operations skills, labor, equipment, and markets?
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30. Why the need?
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31. How do you recognize an Artificial Intelligence for IT Operations objection?
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32. Will a response program recognize when a crisis occurs and provide some level of response?
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33. Who should resolve the Artificial Intelligence for IT Operations issues?
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34. Who defines the rules in relation to any given issue?
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35. How does it fit into your organizational needs and tasks?
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36. How are the Artificial Intelligence for IT Operations’s objectives aligned to the group’s overall stakeholder strategy?
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37. What is the problem or issue?
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38. What information do users need?
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39. Think about the people you identified for your Artificial Intelligence for IT Operations project and the project responsibilities you would assign to them, what kind of training do you think they would need to perform these responsibilities effectively?
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40. What does Artificial Intelligence for IT Operations success mean to the stakeholders?
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41. What resources or support might you need?
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42. Does your organization need more Artificial Intelligence for IT Operations education?
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43. Do you need different information or graphics?
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44. What needs to stay?
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45. Are problem definition and motivation clearly presented?
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46. Are there any specific expectations or concerns about the Artificial Intelligence for IT Operations team, Artificial Intelligence for IT Operations itself?
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47. Are employees recognized or rewarded for performance that demonstrates the highest levels of integrity?
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48. Why is this needed?
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49. Looking at each person individually – does every one have the qualities which are needed to work in this group?
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50. For your Artificial Intelligence for IT Operations project, identify and describe the business environment, is there more than one layer to the business environment?
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51. Do you have/need 24-hour access to key personnel?
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52. What are the minority interests and what amount of minority interests can be recognized?
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53. Which issues are too important to ignore?
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54. Where is training needed?
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55. What tools and technologies are needed for a custom Artificial Intelligence for IT Operations project?
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56. How do you assess your Artificial Intelligence for IT Operations workforce capability and capacity needs, including skills, competencies, and staffing levels?
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57. What is the recognized need?
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58. Did you miss any major Artificial Intelligence for IT Operations issues?
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59. What activities does the governance board need to consider?
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60. What should be considered when identifying available resources, constraints, and deadlines?
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61. Do you recognize Artificial Intelligence for IT Operations achievements?
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62. What is the problem and/or vulnerability?
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63. What is the smallest subset of the problem you can usefully solve?
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64. Who needs to know about Artificial Intelligence for IT Operations?
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65. Are there recognized Artificial Intelligence for IT Operations problems?
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66. What vendors make products that address the Artificial Intelligence for IT Operations needs?
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67. Do you know what you need to know about Artificial Intelligence for IT Operations?
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68. How do you recognize an objection?
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69. Are losses recognized in a timely manner?
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70. What Artificial Intelligence for IT Operations problem should be solved?
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71. What is the Artificial Intelligence for IT Operations problem definition? What do you need to resolve?
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72. How do you take a forward-looking perspective in identifying Artificial Intelligence for IT Operations research related to market response and models?
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73. What prevents you from making the changes you know will make you a more effective Artificial Intelligence for IT Operations leader?
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74. What else needs to be measured?
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75. How are you going to measure success?
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76. Is it clear when you think of the day ahead of you what activities and tasks you need to complete?
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77. Is the need for organizational change recognized?
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78. Are there regulatory / compliance issues?
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79. Can management personnel recognize the monetary benefit of Artificial Intelligence for IT Operations?
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80. Which needs are not included or involved?
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81. Who needs what information?
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82. How do you identify subcontractor relationships?
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83. What are the clients issues and concerns?
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84. Who needs to know?
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85. To what extent does each concerned units management team recognize Artificial Intelligence for IT Operations as an effective investment?
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86. What Artificial Intelligence for IT Operations coordination do you need?
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87. What training and capacity building actions are needed to implement proposed reforms?
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88. What situation(s) led to this Artificial Intelligence for IT Operations Self Assessment?
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89. As a sponsor, customer or management, how important is it to meet goals, objectives?
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90. Will it solve real problems?
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91. Are there Artificial Intelligence for IT Operations problems defined?
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92. What are the Artificial Intelligence for IT Operations resources needed?
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93. How much are sponsors, customers, partners, stakeholders involved in Artificial Intelligence for IT Operations? In other words, what are the risks, if Artificial Intelligence for IT Operations does not deliver successfully?
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94. Who needs budgets?
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95. How many trainings, in total, are needed?
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Add up total points for this section: _____ = Total points for this section
Divided by: ______ (number of statements answered) = ______ Average score for this section
Transfer your score to the Artificial Intelligence for IT Operations Index at the beginning of the Self-Assessment.