Source: devops.com
5 Reasons Why DevOps Needs AICategory: Business, Database, Security, Data, automation, artificial-intelligence
By Chandra Shekhar on December 23, 2020Leave a CommentAI and DevOps together make a powerful combination of efficiency and intelligence
The proliferation of data has made it challenging for DevOps teams to effectively absorb and implement information to evaluate and tackle customer issues.
It inhibits business users’ capability to leverage data for making decisions, ultimately making organizations difficult to do business with.
AI-powered systems can support the teams by offering a single, unified view into data and applications across the chain of DevOps. Along with that, it can improve the accuracy of data analysis as anomalies can be detected and rectified right away.
The proliferation of data has made it challenging for DevOps teams to effectively absorb and implement information to evaluate and tackle customer issues.
It inhibits business users’ capability to leverage data for making decisions, ultimately making organizations difficult to do business with.
AI-powered systems can support the teams by offering a single, unified view into data and applications across the chain of DevOps. Along with that, it can improve the accuracy of data analysis as anomalies can be detected and rectified right away.
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