Visual inspection is a “killer app” for AI. There are many reasons why we keep saying that: AI is fast, works 27/7 without tiring, is highly accurate and generally pays for itself within a matter of months. However, there is another reason why manufacturers should take a very serious look at AI: it allows for […]
AI: The Path to Standardization in Visual Inspection Read More »
Artificial intelligence (AI) will transform manufacturing – it’s just a matter of time. While few manufacturers have broadly adopted AI on the shopfloor yet, the advantages of AI for applications such as visual inspection and predictive maintenance are just too convincing to ignore. One of the biggest road blocks to AI adoption is fear of
Keeping Humans in the Loop: the Synergy of Humans and AI on the Shopfloor Read More »
If you have, like me, been in Silicon Valley long enough – or even just followed the tech news – you have been through your share of hype cycles. Remember the early dot com craziness? The idea that our lives would completely happen online and nobody would ever try to find a romantic partner at
Navigating the Gen AI Hype Cycle Read More »
Do you want to take a guess how long a person can focus on a repetitive task such as visual inspection? Let me second guess your guess and say “go lower!” Here’s the data: one study found that even after 20 to 30 minutes a phenomenon called “vigilance decrement” occurs which means individuals experience a
Seeing is Believing: How AI is Changing Visual Inspection for Good Read More »
In a recent blog we wrote about the important differences between mature AI and generative AI when it comes to applications in manufacturing. A quick reminder: mature – or classical AI – is robust, stable, explainable and fixable and at this point in their development classical AI models are pretty much deterministic. In other words,
8 Lessons Learned from Augmenting a Large Language Model Read More »
“How do we know how well the AI model performs and how many mistakes it makes?” is a question we often hear from manufacturers interested in our AI-based solution for manufacturing applications such as quality control and predictive maintenance. Model performance is a justified concern, artificial intelligence is still a young discipline and people need
Confusion Matrix: Addressing Confusion About AI’s Performance Read More »
A while ago we wrote a blog about how classic AI e.g. machine Learning (ML) is ready for prime time on the shopfloor while generative AI will need a little while longer to be mature enough to be deployed in manufacturing itself. However, if you work in and with AI everyday, there is no way
Generative AI Helps Promote Classic AI Read More »
We live in the age of big data. Whether it is social media platforms, retail and e-commerce, telecommunications, healthcare or manufacturing an estimated 2.5 exabytes – or 2.5 quintillion bytes – of data is generated each and every day. The ability to crunch and make sense of these data was long the limiting factor. However,
How AI is disrupting our industry and what can we do about it? – this was the question Authority Magazin asked AI professionals and of course we were only too happy to talk about the changes, challenges and opportunities we see for AI in manufacturing. The article is in form of an interview and you
Interview – How AI Is Disrupting Our Industry? Read More »
Our analytics show that “mature AI” is an important keyword that brings people to our webpage. Let’s ignore the possibility that the intent behind the search term “mature AI” can be described as “show me AI-generated pictures of mature women” (although Google does not rule that interpretation out) and focus on what we believe the
Mature AI – Ready for Prime Time on the Shopfloor Read More »
In our short series of challenges facing the forward-looking manufacturing professional ready to adopt AI, we have so far talked about data and change management challenges. Now it’s time to talk about technology challenges our customers have encountered and how to address them. Here are the four most relevant ones: Technology Challenge 1: Integration with
4 Technology Challenges You Need to Address when Implementing AI in Manufacturing Read More »
When we started our first AI project with a large consumer goods manufacturer the welcome on the shopfloor wasn’t exactly warm. The staff feared that within a few weeks or months, a lot of them would lose their job. We realized quickly that the algorithms or data wouldn’t be the main challenge, AI change management
4 AI Change Management Challenges to Be Aware of Read More »
Accella AI develops tools that enable the rapid implementation and easy management of artificial intelligence models for manufacturing applications. Our mission is to make AI-empowered solutions in quality control and predictive maintenance economical for manufacturers.