Leverage AI in Manufacturing: Improve QA & Reduce False Error Rate

Presented by

Chia-Yui Lee & Mindi Grissom

About this talk

Industry 4.0 is the rise of new digital industrial technology responsible for transforming manufacturing processes into smarter, more efficient systems. What is fueling this momentum? The potential of and power behind AI. Organizations that successfully adopt enterprise AI (including to production) are better positioned to double their cash flow over the next five to seven years. That means applying data science and machine learning to augment all aspects of the manufacturing process. Organizations that leverage product defect detection powered by AI and machine learning can increase manufacturing productivity by 50% or more with significantly improved anomaly detection and reduction in false error rates. Join us as we showcase how teams can address the technical and process/organizational challenges for quality assurance using AI and machine learning. During this webinar, we will: - Demonstrate how combining the manufacturing SMEs' domain knowledge and data scientists' expertise leads to more significant impacts on false error rate - Illustrate the benefits of doing data projects from one centralized platform - Show how the process can be simple and timely when deploying models, expediting the time to value - Preempt errors and update models to prevent false error rate deterioration

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