AIOps platforms for Intelligent Ops tend to make IT operations more efficient through big data, machine learning and visualization. Enterprise infrastructure and operations leaders should start AIOps platform deployment efforts early to optimize current performance analytics and expand into IT service management and automation over the next two to five years.

The AIOps platform is a software system that combines big data and machine learning capabilities to expand the collection and analysis of the volume, type and velocity of data that is constantly being generated by IT systems to support the primary functions of IT operations and maintenance. The platform is capable of using multiple data sources, data collection methods, data analysis and presentation techniques simultaneously.

AIOps can be applied to a wide range of IT O&M processes and scenarios, including performance analysis, anomaly detection, event correlation analysis, IT service management and automation.

Core functions include:

Extracting data from various data sources

Real-time analytics on extracted data

Historical analytics on stored data

Providing data access interfaces

Storing captured data

Using machine learning technology

Initiating operations based on analytics results

AIOps is becoming increasingly dominant in the enterprise, and a number of established organizations are already leveraging the technology to support decision-making for business leaders.