Microlearning Machine Learning Applications in Supply Chain Analytics

Machine Learning Applications in Supply Chain Analytics

Catalog: Microlearning
Short name: Machine Learning Applications in Supply Chain Analytics

Description

As a supply chain professional, you don’t let your knowledge stagnate. You keep learning! Likewise, the best supply chain tools are the ones that can keep learning too, rather than becoming quickly outdated as the market changes. Machine learning is a form of artificial intelligence that enables computers and programs to learn skills, improve performance, adapt to change and perform autonomously. But, in order to do this, the technology needs humans to set up the best learning environment. In this microlearning, you’ll learn how to prepare data for use with machine learning and then integrate the results into methods that will support continuous improvement in supply chain analytics, like more accurate demand forecasting, optimized inventory management and enhanced risk management.

Sections

General
2 activities

Machine Learning Applications in Supply Chain Analytics
Machine Learning Applications in Supply Chain Analytics Survey

SCORM package SCORM package
1
Questionnaire Questionnaire
1
Content Type
Microlearning
Author
Association for Supply Chain Management
Member Content
Yes
ASCM Resource Center Content
No
Instructor Development Program
No
Supply Chain Knowledge Center Content
No

Tags

Artificial Intelligence (AI) Automation Big Data Change Management Data Analytics Emerging Topics Machine Learning Operational Excellence Supply Chain Improvement Supply Chain Management Technology