Artificial Intelligence For IT Operations A Complete Guide - 2020 Edition. Gerardus Blokdyk

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      5. Is the current ‘as is’ process being followed? If not, what are the discrepancies?

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      6. Is there a completed, verified, and validated high-level ‘as is’ (not ‘should be’ or ‘could be’) stakeholder process map?

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      7. How do you gather Artificial Intelligence for IT Operations requirements?

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      8. Where can you gather more information?

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      9. What are the record-keeping requirements of Artificial Intelligence for IT Operations activities?

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      10. How did the Artificial Intelligence for IT Operations manager receive input to the development of a Artificial Intelligence for IT Operations improvement plan and the estimated completion dates/times of each activity?

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      11. In what way can you redefine the criteria of choice clients have in your category in your favor?

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      12. Is Artificial Intelligence for IT Operations linked to key stakeholder goals and objectives?

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      13. Is the Artificial Intelligence for IT Operations scope complete and appropriately sized?

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      14. Who approved the Artificial Intelligence for IT Operations scope?

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      15. What information should you gather?

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      16. What key stakeholder process output measure(s) does Artificial Intelligence for IT Operations leverage and how?

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      17. Who is gathering Artificial Intelligence for IT Operations information?

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      18. When are meeting minutes sent out? Who is on the distribution list?

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      19. Are there different segments of customers?

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      20. Are customer(s) identified and segmented according to their different needs and requirements?

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      21. Is the Artificial Intelligence for IT Operations scope manageable?

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      22. Are resources adequate for the scope?

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      23. Has a Artificial Intelligence for IT Operations requirement not been met?

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      24. What are the core elements of the Artificial Intelligence for IT Operations business case?

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      25. What is the scope of Artificial Intelligence for IT Operations?

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      26. The political context: who holds power?

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      27. Who are the Artificial Intelligence for IT Operations improvement team members, including Management Leads and Coaches?

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      28. How is the team tracking and documenting its work?

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      29. How can the value of Artificial Intelligence for IT Operations be defined?

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      30. What is out of scope?

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      31. Is there regularly 100% attendance at the team meetings? If not, have appointed substitutes attended to preserve cross-functionality and full representation?

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      32. How and when will the baselines be defined?

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      33. How do you gather the stories?

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      34. How do you keep key subject matter experts in the loop?

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      35. How was the ‘as is’ process map developed, reviewed, verified and validated?

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      36. Is the scope of Artificial Intelligence for IT Operations defined?

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      37. Is the improvement team aware of the different versions of a process: what they think it is vs. what it actually is vs. what it should be vs. what it could be?

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      38. What are the rough order estimates on cost savings/opportunities that Artificial Intelligence for IT Operations brings?

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      39. When is/was the Artificial Intelligence for IT Operations start date?

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      40. What is the scope of the Artificial Intelligence for IT Operations effort?

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      41. Who is gathering information?

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      42. Have the customer needs been translated into specific, measurable requirements? How?

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      43. Has a project plan, Gantt chart, or similar been developed/completed?

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      44. What is in the scope and what is not in scope?

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      45. Are all requirements met?

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      46. How do you build the right business case?

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