Acerta Analytics is proud to be SOC 2 Type 1 certified
November 24, 2024
Acerta’s SOC 2 Type 1 qualification, acquired on Novermber 2024 covers 72 controls across the areas of security, confidentiality, and availability.
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ETQ and Acerta close the loop on quality
October 9, 2024
In manufacturing, data is power. Yet, even with mountains of data, many companies struggle to turn it into actionable insights before quality issues spiral out
The limits of GPTs and generative AI in manufacturing
September 20, 2024
Artificial Intelligence (AI) has revolutionized industries worldwide, and manufacturing is no exception. You’ve surely seen the hype: every industrial vendor has rushed to claim that
How to Build a Manufacturing Analytics Platform
July 9, 2024
Developing a manufacturing analytics platform is no small feat. Trust us – we’ve done it! Some manufacturers may decide to develop their own manufacturing analytics
Automated root cause analysis in manufacturing
June 4, 2024
With real-time data ingestion, cloud computing, and machine learning, automated root cause analysis is now possible in manufacturing.
How to automate root cause analysis
May 14, 2024
LinePulse has removed the manual efforts required by data scientists to train and deploy machine learning models used for root cause investigation. This means that
Top 5 Quality 4.0 tools for manufacturing
April 9, 2024
Quality 4.0 is a term derived from Industry 4.0, which first came into use in 2011 at the Hanover Messe conference in Germany. Much has
What is Quality 4.0 in manufacturing?
March 19, 2024
Let’s start with a basic definition. Quality 4.0 is a term used to describe emerging industrial technologies and methods of quality control. This concept is
What stage of maturity is your approach to quality in?
March 11, 2024
Achieving excellence in manufacturing quality is a continuous and evolving process. For those quality experts who have been in the business for years, it seems
The shift left in manufacturing quality
February 9, 2024
Predictive quality shifts the focus on quality left, putting less focus on defect detection at the end of the line, and more attention to quality closer to the beginning of the process.