Is Six Sigma still relevant in industry 4.0?
February 2, 2023
Six Sigma has been the dominant approach to quality control in modern times, but does it hold up amidst changing tech in Industry 4.0?
Automotive Manufacturing Data Blog
Read about Industry 4.0 topics in automotive, such as quality management, big data, machine learning and AI.
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Your 2023 primer to proactive quality management
January 4, 2023
Manufacturing quality management in 2023 requires a proactive approach. But what does that involve?
Big data in automotive manufacturing: how big does it need to be?
December 12, 2022
Modern manufacturing generates a lot of data. But how much data is needed to take advantage of predictive quality insights from machine learning?
We’ve got 10.4 million reasons to celebrate
November 22, 2022
Acerta announces series B funding led by BDC Capital Industrial Innovation and Thrive Venture Funds, with participation OMERS Ventures and StandUp Ventures.
Alan Tan: Ethical AI in Automotive Manufacturing
October 13, 2022
The ethics of AI depend on the intent of the humans applying it. What does this mean for automotive manufacturing applications?
Machine learning for anomaly detection in the automotive industry
October 3, 2022
Detecting anomalies in manufacturing data is critical to uncover potential quality errors early on in the process.
Industry 4.0 and smart manufacturing technologies that drive today’s smart factories
September 16, 2022
Today’s manufacturers are leveraging smart Industry 4.0 technologies, such as artificial intelligence and machine learning, the Industrial Internet of Things, cloud and edge computing, virtual reality and augmented reality.
What is anomaly detection in manufacturing?
September 6, 2022
When analyzing data, anomaly detection is the process of identifying and observing rare items, events, patterns, and outliers that differ significantly from a dataset’s normal behavior.
