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The Factors Slowing AI Adoption in Packaging and Processing

Despite the buzz around AI in packaging and processing, concerns like security and data hallucinations are causing hesitation about the technology.

Some CPG stakeholders are hesitant to adopt AI technologies due to concerns including employee pushback and data security.
Some CPG stakeholders are hesitant to adopt AI technologies due to concerns including employee pushback and data security.
PMMI Business Intelligence: The AI Advantage in Equipment: Boosting Performance and Bridging Skills Gaps

Artificial intelligence (AI) has the potential to be a transformative tool for the packaging and processing industry, but the technology includes a few significant drawbacks to consider.

That’s according to PMMI Business Intelligence’s 2024 report, “The AI Advantage in Equipment: Boosting Performance and Bridging Skills Gaps,” where Business Intelligence researchers interviewed industry stakeholders to understand current applications, ambitions, and attitudes on AI in packaging and processing.

Cybersecurity concerns

AI models require data for training, and how much customer data is required depends on the technology.

Predictive maintenance, for example, requires continuous monitoring of end users’ data to function and data ownership varies between solutions. Digital twin simulations, however, can perform their function with just the machine parameters.

Navigating cybersecurity issues is always a challenge, but as data security and technology improve, legislation changes, and public trust in these tools increases, it may be possible to overcome many of these concerns.

Status of data collection/historians in companies

Researched List: Engineering Services Firms
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Researched List: Engineering Services Firms
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