The benefits of AIOps include reduced operations costs, increased resiliency, predictive service management, improved customer experience and more. To realize these benefits, here are a few key steps organizations should follow when implementing AIOps:
1. Establish a Clear Strategy for AIOps
Kick off your AIOps journey by setting objectives and goals, determining a timeline, gaining top-down support from management, and identifying key people and processes. Creating a roadmap can help set realistic expectations about what can be achieved and gain support from key leaders.
2. Clean Up Your Data
Consolidating data into a single repository, normalizing it to remove any unstructured or redundant data, standardizing it into a common format to be easily understood by different systems, and labeling it for context within machine learning models is key for ensuring that your data is useable. Understanding the data that your AIOps solution supports is also critical to getting the most value from your data.
3. Assess Your Internal Resources
Not all organizations have robust IT teams that enable a DIY approach to observability. If you do not have those internal resources, plan to hire additional support or look for a vendor that can handle this work, at least during initial deployment.
4. Continuously Improve Processes Around AIOps
Once you have selected an AIOps solution and have your initial use cases addressed, determine which priority comes next. Continue improving data quality, keep training your models, leverage available software and optimize processes. AIOps is an iterative process, which is why good project management and having the right teams in place is essential for success.
