5 obstacles to digital transformation in automotive manufacturing
5月 18, 2023
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Digital transformation in manufacturing is essential. Is yours taking longer than it should? Here are some typical obstacles.
Acerta ブログ
人工知能（AI）＆自動車部品アナリティクス
Predictive analytics software for manufacturing: build or buy?
4月 17, 2023
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Should you invest in developing your own predictive quality analytics software for manufacturing, or use an off-the-shelf solution?
Predictive quality is a better investment than predictive maintenance
3月 27, 2023
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Understand the difference between these two manufacturing software solutions and why we recommend investing in predictive quality first.
Is Six Sigma still relevant in industry 4.0?
2月 21, 2023
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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?
Your 2023 primer to proactive quality management
1月 4, 2023
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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?
12月 12, 2022
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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
11月 22, 2022
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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
10月 13, 2022
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The ethics of AI depend on the intent of the humans applying it. What does this mean for automotive manufacturing applications?