Artificial Intelligence For IT Operations A Complete Guide - 2020 Edition. Gerardus Blokdyk
Чтение книги онлайн.
Читать онлайн книгу Artificial Intelligence For IT Operations A Complete Guide - 2020 Edition - Gerardus Blokdyk страница 6
5. Is the current ‘as is’ process being followed? If not, what are the discrepancies?
<--- Score
6. Is there a completed, verified, and validated high-level ‘as is’ (not ‘should be’ or ‘could be’) stakeholder process map?
<--- Score
7. How do you gather Artificial Intelligence for IT Operations requirements?
<--- Score
8. Where can you gather more information?
<--- Score
9. What are the record-keeping requirements of Artificial Intelligence for IT Operations activities?
<--- Score
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?
<--- Score
11. In what way can you redefine the criteria of choice clients have in your category in your favor?
<--- Score
12. Is Artificial Intelligence for IT Operations linked to key stakeholder goals and objectives?
<--- Score
13. Is the Artificial Intelligence for IT Operations scope complete and appropriately sized?
<--- Score
14. Who approved the Artificial Intelligence for IT Operations scope?
<--- Score
15. What information should you gather?
<--- Score
16. What key stakeholder process output measure(s) does Artificial Intelligence for IT Operations leverage and how?
<--- Score
17. Who is gathering Artificial Intelligence for IT Operations information?
<--- Score
18. When are meeting minutes sent out? Who is on the distribution list?
<--- Score
19. Are there different segments of customers?
<--- Score
20. Are customer(s) identified and segmented according to their different needs and requirements?
<--- Score
21. Is the Artificial Intelligence for IT Operations scope manageable?
<--- Score
22. Are resources adequate for the scope?
<--- Score
23. Has a Artificial Intelligence for IT Operations requirement not been met?
<--- Score
24. What are the core elements of the Artificial Intelligence for IT Operations business case?
<--- Score
25. What is the scope of Artificial Intelligence for IT Operations?
<--- Score
26. The political context: who holds power?
<--- Score
27. Who are the Artificial Intelligence for IT Operations improvement team members, including Management Leads and Coaches?
<--- Score
28. How is the team tracking and documenting its work?
<--- Score
29. How can the value of Artificial Intelligence for IT Operations be defined?
<--- Score
30. What is out of scope?
<--- Score
31. Is there regularly 100% attendance at the team meetings? If not, have appointed substitutes attended to preserve cross-functionality and full representation?
<--- Score
32. How and when will the baselines be defined?
<--- Score
33. How do you gather the stories?
<--- Score
34. How do you keep key subject matter experts in the loop?
<--- Score
35. How was the ‘as is’ process map developed, reviewed, verified and validated?
<--- Score
36. Is the scope of Artificial Intelligence for IT Operations defined?
<--- Score
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?
<--- Score
38. What are the rough order estimates on cost savings/opportunities that Artificial Intelligence for IT Operations brings?
<--- Score
39. When is/was the Artificial Intelligence for IT Operations start date?
<--- Score
40. What is the scope of the Artificial Intelligence for IT Operations effort?
<--- Score
41. Who is gathering information?
<--- Score
42. Have the customer needs been translated into specific, measurable requirements? How?
<--- Score
43. Has a project plan, Gantt chart, or similar been developed/completed?
<--- Score
44. What is in the scope and what is not in scope?
<--- Score
45. Are all requirements met?
<--- Score
46. How do you build the right business case?
<---