- Introduction of the speakers
- Aim of the webinar: Introduction and in-depth study of AIOps
Description
AIOps combines machine learning techniques with data analytics and advanced IT operations methods to identify, analyze and often solve IT challenges in real time. We will define and differentiate between the terms AIOps, MLOps and Smart Operations to ensure a clearer understanding of their respective focus and applications. Furthermore, concrete use cases of AIOps, implementation challenges and best practices will be presented to facilitate the integration of AIOps in organizations.
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Experts
Daniel Krieg
Senior Consultant ML und ML-Plattformen
Agenda
Welcome and introduction
Differentiation of terms and definitions
- Differentiation between AIOps, MLOps and Smart Operations
- Differentiation and areas of application of the concepts
- Relevance and benefits of the individual terms
Insight into AIOps
- Definition and meaning of AIOps
- Different types and concepts of AIOps
- Presentation of implemented use cases
Roadmap for the implementation of AIOps
- Phase 1: Necessity assessment and planning
- Phase 2: Selection of technologies and tools
- Phase 3: Piloting and initial implementations
- Phase 4: Scaling and continuous improvementChallenges and best practices on the road to implementation
Q&A
- Answering questions from the audience
- Discussion of specific challenges and needs
Basic information
Prerequisites
Basic knowledge of IT operations and a basic understanding of artificial intelligence are helpful, but not essential.
Method
Online Webinar
Target audience
The webinar is ideal for IT experts, data scientists, IT operations managers and anyone interested in integrating AI into IT operations.
Languages
German
