The term “AIOps” stands for “artificial intelligence for IT operations.” Originally coined by Gartner in 2017, it refers to the way data and information from an application environment are managed by an IT team -- in this case, using AI. Here’s Gartner’s definition:
“AIOps platforms utilize big data, modern machine learning and other advanced analytics technologies to directly and indirectly enhance IT operations (monitoring, automation and service desk) functions with proactive, personal and dynamic insight. AIOps platforms enable the concurrent use of multiple data sources, data collection methods, analytical (real-time and deep) technologies, and presentation technologies.
Since AIOps is an emergent space, the definition is highly fluid. But the core elements consist of:
The Elements of AIOps |
Machine Learning |
Performance baselining |
Anomaly detection |
Automated root cause analysis |
Predictive insights |
Decrease
MTTR
AIOps platforms provide faster resolutions to outages and other problems, and in the process, decrease MTTR and costs associated with performance challenges.
Proactive performance monitoring
Build a more proactive approach to performance monitoring. By taking in the totality of application environment data, AIOps platforms connect performance insights to business outcomes.
Drive faster and better
decision-making
AIOps platforms can help surface insights to IT professionals to drive better and faster decision-making.
Want to Learn More About AIOps?
View all resources
Why the experience economy needs data-centric AIOps
See why data-centric AIOPs is the next frontier in full-stack observability — and the key to optimizing multi-cloud deployments.
MIT Technology Review: Simplify the complex with AIOps
Discover how the marriage of artificial intelligence, machine learning, and analytics enables companies like FedEx to accelerate issue resolution and improve business outcomes.
Want to Strengthen Cybersecurity? MIT Says to Start With AIOps
A new MIT Technology Review report reveals how AI and machine learning can help companies protect themselves against growing cybersecurity threats.
Elevate digital experiences for customers and employees
Cisco full-stack observability elevates digital experiences by providing full-stack visibility, insights, and action, tied to business context.