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DELLQUINN: A Machine Learning-Based, Resource Capacity Optimization Solution
Introduction
Executive summary
Business challenge
Document purpose
Document purpose
Audience
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Terminology
Methodology Key takeaways User feedback Conclusion References

Executive summary

Home > AI Solutions > Artificial Intelligence > White Papers > DELLQUINN: A Machine Learning-Based, Resource Capacity Optimization Solution > Executive summary

Executive summary

  • This paper explains how the DELLQUINN Machine Learning (ML)-induced Workload Optimization solution helped the Dell High End Storage (HES) Field Asia Pacific, Japan, and China (APJC) Business with  Dell Field Service Engineers (FSE) capacity planning and upskilling opportunity identification. These decisions are made based on:

    • Workload demand
    • Skillset
    • Experience
    • Strategic training recommendations that help drive Dell partner contracts through improved future resource readiness in the most demanded product categories 

    This document also highlights the potential benefits of the solution, including reduced FSE overtime and associated pay-outs through better FSE utilization.