Tina Baumgartner

Technology Challenges

4 Technology Challenges You Need to Address when Implementing AI in Manufacturing

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 […]

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How to trust AI?

One of the main problems we encounter when speaking with manufacturers about the use of AI in manufacturing for quality control, predictive maintenance, predictive analytics or human-machine interface simplification is not a technical one: it’s trust. “How do we know that the algorithms give us the correct answer?” “Doesn’t the model just tell you what

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Industry 4.0

Transitioning Manufacturing to Industry 4.0 – Perspective from the Shopfloor

Recently Facebook served up a sponsored post in my feed that caught my immediate attention: an article about the work of John Carrier, a senior lecturer at MIT Sloan, about the challenges of manufacturing companies transitioning to Industry 4.0. This drew my attention, not just because I am a Sloanie myself, but because helping companies

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