Machine learning operations, more commonly known as MLOps, is the pursuit of faster and more reliable delivery through a pipeline of data to insight and value. While DevOps is concerned with breaking down the silos of development and operations, MLOps builds upon DevOps, but adds the breakdown of the data engineer/ETL silo, the analytics silo, and the data science silo under its domain.
In this whitepaper, our team dives deep into MLOps and its benefits, use cases, and best practices. You will get insights on what’s next for MLOps, real-world examples of effective MLOps via Salesforce technologies, the business benefits of a long-term approach, and more.
From data collection, data preparation, data engineering, to evaluating machine learning algorithms, our experts can help you get a handle on best practices and next steps for success.