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Unlocking the Power of AI with Implemented Machine Learning Ops Projects

Becoming Human

DevOps and DataOps: DevOps and DataOps are related approaches that emphasize collaboration between software developers and IT operations teams. DevOps focuses on automating the software development and deployment process, while DataOps focuses on the data management process. Both can be useful in implementing MLOps projects.

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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

Primary users and stakeholders The primary users of AIOps technologies are IT operations teams, network administrators, DevOps and data operations (DataOps) professionals and ITSM teams, all of which benefit from the enhanced visibility, proactive issue detection and prompt incident resolution that AIOps offers.

Big Data 106
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The Move to Public Cloud and an Intelligent Data Strategy

Dataversity

Click to learn more about author Joe Gaska. It has taken a global pandemic for organizations to finally realize that the old way of doing businesses – and the legacy technologies and processes that came with it – are no longer going to cut it. This is especially true when it comes to applications. As […].

DataOps 94