Machine Learning to support Operational Efficiency
Description
Reducing risk of losing institutional knowledge associated with an aging workforce. Ensure time to proficiency for junior operators is minimized through storing and accessing institutional knowledge to understand how operational efficiency can be im
Detailed example
The system will evaluate process output, and seek to provide recommendations to realize the desired output along with the associated logic for why the change will yield the projected output.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Less unanticipated downtime, improved decision making and improved manufacturing processes with optimized output.
Audit / financial statement impact
The AI use case focuses on capturing operational metrics and institutional knowledge and does not significantly affect legal, material, or critical access to services rights.
Controls / human review
ATO: Not reported; PIA: Not published