MLOPS vs AIOPS
AIOps – AUTOMATES MACHINES
AIOPS AND MLOPS SHARE COMMON CHARACTERISTICS
Both can be a catalyst for the digital transformation of businesses that manage large volumes of data. In 2021 all businesses are on some level driven and enabled by data. The management of that data is directly linked to the productivity of the business, its operators, and its overall success. It is business-critical to understand the purpose and capability of both MLOps and AIOps to ensure their successful implementation.
WHAT IS MLOPS?
– MLOps (short for Machine Learning Operations) refers to a series of practices for collaboration between data scientists and operations professionals.
– MLOps essentially improves the efficiency of management processes.
-MLOps automates the deployment of Machine Learning in large-scale production environments.
WHAT IS AIOPS?
– AIOps is the application of advanced analytics.
– It is comprised of Artificial Intelligence (AI) and Machine Learning (ML).
– AIOps efficiently processes and manages larger volumes of operating data, through an amalgamation of big data and machine learning.
AIOPS AUTOMATES MACHINES, MLOPS STANDARDISES PROCESSES.
For many organisations, the question is, what do you want to automate, machines or processes?
The answer should really be, both.
Successfully deploying AIOps and MLOps can have a positive impact on your organisation’s IT infrastructure.