Case Study: Valent U.S.A. LLC achieves predictive crop insights and faster ML deployment with Expero

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Preview of the Valent U.s.a. LLC Case Study

Valent U.s.a. LLC updates apps in a fraction of the time with Expero

Valent U.S.A. LLC sought to increase its customers' visibility into crop production to improve marketable yields. To address this challenge, they partnered with Expero to develop a predictive solution that would provide growers with advanced insights for better field management decisions.

Expero implemented a serverless machine learning infrastructure, utilizing managed cloud services to streamline deployment and MLOps. This solution empowered Valent's data scientists to independently and rapidly deploy new models, dramatically reducing turnaround times. As a result, Valent's customers gained the ability to see crop characteristics ahead of time, enabling more timely decisions. Furthermore, Valent saved significant time and money on app updates and established a framework to easily deploy future machine learning solutions.


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