3 years ago

Category: Deployment, Business, Security, Data, Infrastructure, automation, machine-learning, artificial-intelligence

Disclaimer: This blog post was originally posted on The Chief I/O: The State of AIOps: What do Companies Need to Adopt AIOps? IT operations are facing the problem of rapid growth in the amount of data generated by IT infrastructure and applications that need to be collected, analyzed, and acted.

Simply put, AIOps is an application of data science and machine learning (ML) to IT operations problems.

However, in the era of hybrid multilayer systems, in which data and applications are dispersed far beyond the walls of a single data center, it is no longer possible for users to intelligently monitor and manage environments computing at the scale and speed required.

The advent of AIOps and intelligent data management is not an incremental development, but a real transformation for IT.