Research talk: Automating and Optimizing IT Operations Management with AI
The vision of self-aware, self-healing, and self-managing Information Technology (IT) systems has remained elusive till recently. Recent advancements in Cloud computing, Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) in general, are all making it possible to realize this vision now. AI can optimize IT operations management processes by increasing application availability, predicting and detecting problems early, reducing the time it takes to resolve problems, proactively avoiding problems, and optimizing the resources and cost of running business applications on hybrid Clouds. In this talk, Rama Akkiraju will discuss the opportunity for AI to optimize IT Operations Management. She will describe how semi-structured application and infrastructure logs can be analyzed to predict anomalies early, how entities can be extracted and linked from logs, alerts and events to reduce alert noise for IT operations admins, how NLP can be put to use on unstructured content in prior incident tickets to extract next-best-action recommendations to resolve problems, and how deployment change request descriptions can be analyzed in combination with past incident root cause information to predict risks of deployment changes to prevent issues from happening in the first place.
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)
- 轨迹:
- Cloud Intelligence/AIOps
- 日期:
- 演讲者:
- Rama Akkiraju
- 所属机构:
- IBM
-
-
Rama Akkiraju
IBM Fellow, CTO AIOps
IBM
-
-
Cloud Intelligence/AIOps
-
Opening remarks: Cloud Intelligence/AIOps
Speakers:- Marcus Fontoura
-
-
-
Research talk: An intelligent data-driven paradigm towards cloud reliability
Speakers:- Michael Lyu
-
Research talk: Automating and Optimizing IT Operations Management with AI
Speakers:- Rama Akkiraju
-
-
-