1、An Introductory Use Case GuideSplunk Artificial Intelligence for ObservabilityTable of contentsIntroduction 3What are artificial intelligence(AI)and machine learning(ML)?3Why do organizations invest in artificial intelligence?3Splunk AI portfolio 4Foundational elements for observability 5Considerati

2、ons at the start of an AI journey 5Use cases 91.Forecasting resource utilization 112.Detecting service performance issues 123.User experience monitoring 154.Noise reduction 175.Predicting data downtime in Splunk 186.Predictive maintenance 197.Cell tower monitoring 228.Geohazards monitoring 23Get sta

3、rted today 24Blogs 24Splunk Artificial Intelligence for Observability|Splunk3IntroductionThis e-book is designed to help readers looking for ways to get value from implementing artificial intelligence(AI)or machine learning(ML)in Splunk,outlining example use cases that have been successfully impleme

4、nted elsewhere.For each use case,the business challenge,approach to using Splunk and value will be presented.Additionally,each use case includes links to supporting information such as customer case studies or documentation to help reproduce the use case in the Splunk environment.What are artificial

5、 intelligence(AI)and machine learning(ML)?The term“machine learning”is often used interchangeably with the term“artificial intelligence,”but ML is a subfield of AI.ML is a field of computer science that develops computer systems that can autonomously learn from experience by processing the data they

6、 receive and improving the performance of specific tasks.Artificial intelligence is the ability of a system to handle representations,both explicit and implicit,and to perform tasks that would be considered intelligent if performed by a human.Machine learning is the ability for computer systems to u