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1 of 1- EricFar
- moneyfx advance
Offline - Registered: 6/21/2021
- Posts: 227
How to evaluate the ROI of a data science project?
When presenting AI initiatives to management, what metrics should be used to measure success and prove return on investment?
- Denayer
- moneyfx advance
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- Registered: 7/29/2021
- Posts: 191
Re: How to evaluate the ROI of a data science project?
=10ptHandling large datasets requires careful infrastructure planning and well-structured pipelines. Teams involved in =10ptmachine learning solutions development=10pt usually focus first on building reliable data architecture before training models. Without proper data processing and monitoring systems, even well-designed algorithms can fail in production. That’s why many ML projects begin with establishing scalable data workflows and validation procedures before moving to model deployment.
Last edited by Denayer (Yesterday 3:42 pm)