Machine learning can drive tangible business value for a wide range of industries — but only if it is actually put to use. Despite the many machine learning discoveries being made by academics, new research papers showing what is possible, and an increasing amount of data available, companies are struggling to deploy machine learning to solve real business problems. In short, the gap for most companies isn’t that machine learning doesn’t work, but that they struggle to actually use it.
Getting Value from Machine Learning Isn’t About Fancier Algorithms — It’s About Making It Easier to Use
We built a model to help project managers meet their deadlines.
March 06, 2018
Summary.
Machine learning can drive tangible business value for a wide range of industries — but only if it is actually put to use. The gap for most companies isn’t that machine learning doesn’t work, but that they struggle to actually use it. How can companies close this execution gap? In a recent project for Accenture, the authors illustrate the principles of how to do it. They used machine learning to augment the power of seasoned professionals — in this case, project managers — by allowing them to make important business decisions well in advance. And in doing so, they demonstrated that getting value from machine learning is less about cutting-edge models, and more about making deployment easier.
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Digital Intelligence Course
Accelerate your career with Harvard ManageMentor®. HBR Learning’s online leadership training helps you hone your skills with courses like Digital Intelligence . Earn badges to share on LinkedIn and your resume. Access more than 40 courses trusted by Fortune 500 companies.
Excel in a world that's being continually transformed by technology.