Integrating Machine Learning with Mathematical Optimization: Resource Matching
August 2019

Webinar Summary

Large professional services companies employ thousands of experts to deliver a wide variety of services, making labor the industry’s highest expense. Current manual processes and tools used within labor resources management present many limitations leading to poor demand fulfillment, low labor resource utilization, high project delivery costs, and poor customer satisfaction.

During this webinar recording, we:

• Walk through an optimization application demo that integrates machine learning and mathematical optimization technologies
• Address the fundamental problem of resource management, including how to match workforce resources with the right skills and capabilities, for the right job, at the right time, location, and cost.

This demo is the result of a collaboration between the Recruitology data sciences team and Tere Gonzalez, Senior Data Scientist at Hitachi Lab.

Presented Materials

You can download the presented slides and the RMO whitepaper as an additional resource to this webinar.