Machine learning feasibility diagnostics

Machine learning feasibility diagnostics consists of:
1. Identifying the quality and deficiencies of the data generated in the business process
2. Conducting a machine learning test to get the first estimate of the value of the data
3. Creating an action plan and budget for eliminating bottlenecks and deploying machine learning

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