Masood Ur RahmanGeneral Manager| Samsung ElectronicsKarachi, Sindh, Pakistan
What are the key performance indicators (KPIs) and metrics that we should track when implementing AI in our projects to ensure its success and return on investment (ROI)? Saving Changes...
You'd measure ROI like on any other initiative - determine how an objective, operational KPI can be translated into revenue or cost savings (e.g. manual hours reduced) and compare that against the one-time and ongoing costs of implementing and running the AI tool (including training, maintenance and so on).
The specific operational KPIs really depend on what the AI is being used for. Saving Changes...
Senior Projects Manager | Field & Marten AssociatesNew Westminster, British Columbia, Canada
Masood
What KPI metrics you should track depends on the purpose of using the AI, it is not one-size-fits-all.
There can be endless metrics so you need to define the objective and goals of using AI within your organization and from there you can define specific metrics and KPIs just like you do for any other initiative. Some metrics can me tangible, others intangible but in the case of AI, both are important to take into considerations.
Definition of KPIs specific to model performance tied to the business value it will generate,
helps us to measure success of AI use case implementation as part of any program. Sample model metrics would include accuracy, precision, recall or even F-score and more. Saving Changes...
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