Machine learning use cases
Machine learning powers a variety of key business use cases. But how does it deliver competitive advantage? Among machine learning’s most compelling qualities is its ability to automate and speed time to decision and accelerate time to value. That starts with gaining better business visibility and enhancing collaboration.
"Traditionally what we see is people not being able to work together," says Rich Clayton, vice president of product strategy for Oracle Analytics. "Adding machine learning to Oracle Analytics Cloud ultimately helps people organize their work and build, train, and deploy these data models. It's a collaboration tool whose value is in accelerating the process and allowing different parts of the business to collaborate, giving you better quality and models for you to deploy."
For example, typical finance departments are routinely burdened by repeating a variance analysis process—a comparison between what is actual and what was forecast. It's a low-cognitive application that can benefit greatly from machine learning.
"By embedding machine learning, finance can work faster and smarter, and pick up where the machine left off," Clayton says.