ML and AIOps: Why ITOps and Monitoring Teams Should Care

Описание к видео ML and AIOps: Why ITOps and Monitoring Teams Should Care

Learn how #ITOps and #monitoring teams can take advantage of #machinelearning and its transformative impact on IT operations. Learn how ML can optimize your organization’s monitoring and workflows.
#AIOps #ITOperations #TechTrends

0:00 Agenda
1:33 High-Level Definitions
6:11 Supervised vs. Unsupervised Machine Learning
9:07 Supervised Learning
11:51 Beware the Black Box
14:30 Open Box ML: Better for You, Better for ITOps
15:19 A Broad Category of Tools
18:37 Machine Learning inside AlOps
20:42 IT's Role Is Changing
23:41 What Do You Need to Tame ITOps?
24:36 Rules-based Tools Don't Cut It Anymore
25:59 Machine Learning Can Help
27:22 Example: Applying ML to Event Management
29:14 Evaluation Tips: Does it play well with your existing data and tools?
30:58 Evaluation Tips: What are its capabilities? What's the time to value?
36:40 Evaluation Tips: ROI and Total Cost of Ownership

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