Once data is harmonized, the solutions enable three critical AI- and analytics-based use cases–manufacturing analytics & insights, predictive maintenance, and machine-level anomaly detection.
Manufacturing Data Engine and Manufacturing Connect help manufacturers unify their data and empower their workforce with easy-to-use analytics and AI solutions based on cloud infrastructure.
“Bridging gaps across systems and placing easy-to-use AI directly into the hands of manufacturing engineers leads to better results,” said Hans Thalbauer, Managing Director, Supply Chain and Manufacturing Industries, Google Cloud. “These new solutions can support workforce transformation initiatives by providing engineers with the tools to be self-sufficient, without the need for data scientists or additional integration code.”
“The growing amount of sensor data generated on our assembly lines creates an opportunity for smarter analytics around product quality, production efficiency and equipment health monitoring, but it also means new data intake and management challenges,” said Jason Ryska, Director Manufacturing Technology Development, Ford Motor Company. “We worked with Google Cloud to implement a data platform now operating on more than 100 key machines connected across two plants, streaming and storing over 25 million records per week. We’re gaining strong insights from the data that will help us implement predictive and preventive actions and continue to become even more efficient in our manufacturing plants.”