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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.
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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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.
Why SPC isn’t enough in 2022
September 1, 2022
Most precision manufacturers rely on software to automate or measure specific operations. For example, most automotive manufacturing plants use some form of Statistical Process Control
Industry 4.0: What you need to know for precision manufacturing
August 22, 2022
The global Industry 4.0 market is expected to grow from US$65 billion in 2021 to US$166 billion by 2026, reflecting a healthy CAGR of 20.6%.
ML/AI-enabled predictive modeling delivers precise predictions
August 10, 2022
Accurate predictions can have a huge impact on manufacturing. They can help precision manufacturers increase throughput, reduce machine downtime, improve product quality, develop data-driven action