A six-step framework for reliable success.
January 23, 2024
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Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing? A specialized business practice suitable for wide adoption. This article presents a six-step practice for ushering machine learning projects from conception to deployment. This disciplined approach serves both sides: It empowers business professionals and it establishes a sorely needed strategic framework for data professionals.
Humanity’s latest, greatest invention is stalling right out of the gate. Machine learning projects have the potential to help us navigate our most significant risks — including wildfires, climate change, pandemics, and child abuse. It can boost sales, cut costs, prevent fraud, streamline manufacturing, and strengthen health care.
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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.
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Copyright for syndicated content belongs to the linked Source : Harvard Business – https://hbr.org/2024/01/getting-machine-learning-projects-from-idea-to-execution
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