AIOps
AIOps is critical to delivering the benefits of AI
After AIOps implementation CSPs are seeing tangible benefits such as Automated monitoring cuts for mean time to repair (MTTR) by 60%, predictive analytics reduces outages by 40%, optimized resources lower costs by 25%, and improved service reliability boosts customer satisfaction by 30%.
TM Forum’s AI Operations (AIOps) project is helping the industry deploy and manage AI at scale by reducing risks within and between different organizations. It provides a blueprint for how to deploy AI operations by redesigning and reengineering operational processes to support AI, as well as a framework and toolset for governing AI operations at scale.
TM Forum AIOps Lifecycle
TM Forum AI for Operations (AIOps) is a framework, with a set of assets and best practices, that supports the effective design, development, ML training, deployment, daily operations, and maintenance of AI components that blends AI and traditional software components until their final decommissioning at any scale.
TM Forum AIOps framework enables the industrialization and operationalization of AI solutions to ensure their effectiveness, business value, quality, and reliability through the 5 lifecycle stages of AI.
AIOps toolkit assets for easy deployment
The AIOps Service Management Framework is applicable to any type of architecture due to its agnostic design and can operate as an independent process framework and will help service providers manage the deployment of AI into their current and target state architectures.
AI Operations (AIOps) assets help to identify the gaps between traditional operations and AI operations and a new operations process framework, allowing CSPs to re-engineer their processes accordingly to safely and securely implement and manage AI. Discover more resources published by the program so far relating to AI Operations (AIOps), in the ever-growing toolkit.
Develop the skills to overcome your barriers
Develop the skills to overcome your barriers
To overcome the barriers to automation you need two things. First, the assets of the AI/AN framework and second, the people with the right skills to implement them. This is especially true today as operators rapidly shift to automated networks and upskilling teams to understand and implement them is now critical to their success. This is why TM Forum has developed the following courses:
