Case Study: Stanley Black & Decker achieves faster product development with H2O.ai Driverless AI

H2O.ai Empowers Stanley Black & Decker to Develop Innovative Manufacturing Processes

Stanley Black & Decker, the global diversified industrial company, needed to accelerate product development and make manufacturing testing more efficient without relying on physical prototypes, while also scaling machine learning despite limited data science capacity. To meet this challenge they selected H2O.ai’s H2O Driverless AI to develop AI-enabled manufacturing processes aimed at drastically reducing the time required for product development.

H2O.ai implemented Driverless AI to automate feature engineering, model building and scoring pipeline generation, enabling Stanley Black & Decker to abstract testing processes, save substantial time in agile manufacturing, and start expanding AI projects across the company. According to Stanley Black & Decker’s team, Driverless AI provided a competitive edge and was a “massive time saver,” prompting broader evaluation and adoption of additional AI initiatives after deployment.

Stanley Black & Decker

Robert Coop

Artificial Intelligence and Machine Learning Manager