Accelerating Business Results From Machine Learning

There is plenty of money and brainpower pursuing commercial application of machine learning (ML), but the promise of that technology is not likely to be realized until the efforts of data scientists and data engineers are operationalized through standardized methodologies and tools, and can be supported by IT. It’s time for organizations to follow the example of DevOps and implement machine learning operations (MLOps) practices that take ideas and initiatives and smooth the path through to products that provide business value.