Remove 2025 Remove Development Remove DevOps as a Service Remove Machine Learning
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How is MLOps Used in Business and Marketing?

Neil Patel

Here is where machine learning operations (MLOps) come in. In less simple terms, it’s a combination of machine learning, data engineering, and development operations. It is an extension of what we know as DevOps. This includes research, development, operations, and implementation.

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DataOps Solutions: Software, Tools, and Alternatives

Neil Patel

By 2025, that number may skyrocket to 181 zettabytes. DataOps are the architectures and software developed to do all of this at scale, in an agile, responsive manner. Just as in DevOps , DataOps should occur in various environments or spaces. This prevents your data from becoming skewed by bad development or bugs.