Xops is our solution/service tool that consists of AI ops, ML ops, and Deep Learning with useability in  various areas of  operations, security, customer experiences, and application deployments through the use of technology based of artificial intelligence, Machine learning , Deep Learning based on the necessities of the project.

Software (DevOps)  data (DataOps)   AI models (MLOps); and(AIOps) , analytics insights are all aimed at speeding up processes and improving the quality of what we deliver . Some consider the various Ops types to be important because the expertise required for each type varies based on data types and analysis plan which is tailored specifically for our clients’ project for maximum accuracy .

DataOps and MLOps are considered more closely related than AIOps because 

MLOps connects the development of machine learning models, their deployment, and their further use in production where as  AIOps has a higher (application) level process

A number of operations are included in the Model Engineering pipeline

The phase of writing and executing machine learning algorithms to produce an ML model is at the heart of the ML workflow..

AIOps also improves automation, by enabling workflows to be triggered with or without human intervention.

 AI and ML algorithms augmenting human capabilities and enabling Ops pros to focus on what is meaningful