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Improving Manufacturing Quality with and Snowflake
by Mary Beth Moore June 3, 2022 Cloud Computer Vision H2O AI Cloud Machine Learning Manufacturing Snowflake

Manufacturers are rapidly expanding their machine learning use cases by leveraging the deep integration between Snowflake’s Data Cloud and the H2O AI Cloud.  Many current manufacturing quality checks require that sensor data and image data be processed and analyzed separately. Standard tooling presents challenges in storing and referencing these data types together. Often, comparison on […]

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AI-Driven Predictive Maintenance with H2O AI Cloud
by h2oai August 2, 2021 AutoML H2O AI Cloud Machine Learning Interpretability Manufacturing

According to a study conducted by Wall Street Journal, unplanned downtime costs industrial manufacturers an estimated $50 billion annually. Forty-two percent of this unplanned downtime can be attributed to equipment failure alone. These downtimes can cause unnecessary delays and, as a result, affect the business. A better and superior alternative is using the machine’s historical […]

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AI for Smarter Manufacturing
by h2oai July 19, 2019 H2O Driverless AI Manufacturing Use Cases

Code 3 Manufacturing is a centuries old industry and has seen significant changes dating back to the first Industrial Revolution in the late 18th century. The use of conveyor belt assembly lines to replace assembly workers, newer precision robot technologies to further reduce manufacturing time, advances in ERP, historian databases, storage and computing technologies for […]

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Hortifrut uses AI to Determine the Freshness of Blueberries
by h2oai May 2, 2019 Community Customer Data Science H2O Driverless AI Manufacturing Use Cases

Who doesn’t love sweet, delicious blueberries? Providing a steady supply of beautiful, tasty berries to the market is no small effort and Hortifrut, based in Chile, has been growing and distributing berries for the last 30 years. Today, they are using AI to provide fresh berries to the world everyday. Hortifrut, the largest global producer […]

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