How to Detect Manufacturing Defects with MLOps in Production
How to Detect

See how Seagate Technology is using machine learning to advance their manufacturing capabilities today and how they see MLOps is used to improve their ability to work faster across factories. In this talk you’ll hear about a case study that shows how Seagate, together with it’s innovation center Lyve Labs, is exploring cnvrg.io to streamline deployment and management of their models across manufacturing facilities to improve ROI. In particular, you’ll learn how cnvrg.io can be used as an MLOps platform to seamlessly leverage Kafka and Tensorflow serving to deliver large-scale real-time endpoints.

What you’ll learn:
– How Seagate has applied AI to improve manufacturing efficiency
– Strategies to implement MLOps automation to your pipeline
– How Seagate maximized hybrid cloud node utilization with scale to zero
– How Seagates optimizes on-premises hardware utilization
– How to achieved peak performance of models in production with zero downtime
– How to decrease IT technical debt with MLOps capabilities

See how Seagate Technology is using machine learning to advance their manufacturing capabilities today and how they see MLOps is used to improve their ability to work faster across factories. In this talk you’ll hear about a case study that shows how Seagate, together with it’s innovation center Lyve Labs, is exploring cnvrg.io to streamline deployment and management of their models across manufacturing facilities to improve ROI. In particular, you’ll learn how cnvrg.io can be used as an MLOps platform to seamlessly leverage Kafka and Tensorflow serving to deliver large-scale real-time endpoints.

What you’ll learn:
– How Seagate has applied AI to improve manufacturing efficiency
– Strategies to implement MLOps automation to your pipeline
– How Seagate maximized hybrid cloud node utilization with scale to zero
– How Seagates optimizes on-premises hardware utilization
– How to achieved peak performance of models in production with zero downtime
– How to decrease IT technical debt with MLOps capabilities

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