WEBINAR / EVENT
Integrating Machine Learning with Mathematical Optimization: Resource Matching
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.
Aug 19 2018
WEBINAR / EVENT
Integrating Machine Learning with Mathematical Optimization: Resource Matching
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.
Aug 19 2018
WEBINAR / EVENT
Integrating Machine Learning with Mathematical Optimization: Resource Matching
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.
Aug 19 2018
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.
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.
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.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Pano Santos
Sr. Technical Content Manager at Gurobi Optimization
Dr. Santos is a Sr. Technical Content Manager at Gurobi Optimization. Santos retired from Hewlett-Packard Enterprise as Distinguished Technologist. During his 23 years at HP Labs, he developed and implemented several decision support tools of mathematical programming applications for workforce planning in the services industry, supply chain planning, CRM, transportation and logistics, and operating room scheduling. Santos has a Bachelor’s degree in Applied Mathematics from the University of Mexico (UNAM), and Masters and PhD degrees in Operations Research from the University of Waterloo in Canada.
María Teresa (Tere) González Díaz
research engineer in the Industrial AI lab at the Center of Social innovation
María Teresa (Tere) González Díaz is a research engineer in the Industrial AI lab at the Center of Social innovation – Hitachi Labs Americas. Tere works in projects that combine images, voice, and text to implement AI solutions in transportation and mobility domains. Prior to this, she worked in Hewlett Packard Laboratories in Palo Alto, CA. She developed decision support systems based on mathematical optimization models to improve services for human resources and healthcare. Tere has three granted patents and more than 10 in process. She holds a MSc Degree in Information Technologies from Monterrey Institute of Technology. Her experience and interests are in deep learning, machine learning, big data, and Augmented Reality (AR) that can help develop the next generation of services to improve people’s lives.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Pano Santos
Sr. Technical Content Manager at Gurobi Optimization
Dr. Santos is a Sr. Technical Content Manager at Gurobi Optimization. Santos retired from Hewlett-Packard Enterprise as Distinguished Technologist. During his 23 years at HP Labs, he developed and implemented several decision support tools of mathematical programming applications for workforce planning in the services industry, supply chain planning, CRM, transportation and logistics, and operating room scheduling. Santos has a Bachelor’s degree in Applied Mathematics from the University of Mexico (UNAM), and Masters and PhD degrees in Operations Research from the University of Waterloo in Canada.
María Teresa (Tere) González Díaz
research engineer in the Industrial AI lab at the Center of Social innovation
María Teresa (Tere) González Díaz is a research engineer in the Industrial AI lab at the Center of Social innovation – Hitachi Labs Americas. Tere works in projects that combine images, voice, and text to implement AI solutions in transportation and mobility domains. Prior to this, she worked in Hewlett Packard Laboratories in Palo Alto, CA. She developed decision support systems based on mathematical optimization models to improve services for human resources and healthcare. Tere has three granted patents and more than 10 in process. She holds a MSc Degree in Information Technologies from Monterrey Institute of Technology. Her experience and interests are in deep learning, machine learning, big data, and Augmented Reality (AR) that can help develop the next generation of services to improve people’s lives.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Sr. Technical Content Manager at Gurobi Optimization
Pano Santos
Dr. Santos is a Sr. Technical Content Manager at Gurobi Optimization. Santos retired from Hewlett-Packard Enterprise as Distinguished Technologist. During his 23 years at HP Labs, he developed and implemented several decision support tools of mathematical programming applications for workforce planning in the services industry, supply chain planning, CRM, transportation and logistics, and operating room scheduling. Santos has a Bachelor’s degree in Applied Mathematics from the University of Mexico (UNAM), and Masters and PhD degrees in Operations Research from the University of Waterloo in Canada.
research engineer in the Industrial AI lab at the Center of Social innovation
María Teresa (Tere) González Díaz
María Teresa (Tere) González Díaz is a research engineer in the Industrial AI lab at the Center of Social innovation – Hitachi Labs Americas. Tere works in projects that combine images, voice, and text to implement AI solutions in transportation and mobility domains. Prior to this, she worked in Hewlett Packard Laboratories in Palo Alto, CA. She developed decision support systems based on mathematical optimization models to improve services for human resources and healthcare. Tere has three granted patents and more than 10 in process. She holds a MSc Degree in Information Technologies from Monterrey Institute of Technology. Her experience and interests are in deep learning, machine learning, big data, and Augmented Reality (AR) that can help develop the next generation of services to improve people’s lives.
