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How to Prepare for AI Implementation

From early conversations with AI companies to understanding the scope of solutions, following these steps can streamline AI implementation.

It helps AI implementation for things like predictive maintenance to collect and store relevant data before introducing the technology.
It helps AI implementation for things like predictive maintenance to collect and store relevant data before introducing the technology.
PMMI Business Intelligence: 2024 The AI Advantage in Equipment: Boosting Performance and Bridging Skills Gaps

When entering the wild west of AI technologies in packaging and processing, it’s important to put the right foot forward.

That’s why PMMI Business Intelligence researchers asked AI solutions experts to offer advice for companies looking to begin AI implementation, or utilize an AI tool within operations, in the 2024 report, “The AI Advantage in Equipment: Boosting Performance and Bridging Skills Gaps.” 

Have a clear plan in mind of what you want to achieve

There’s a wide variety of processes AI can help improve within a company. Thus, experts say it is important to have a clear definition of the problem they are trying to solve and a specific goal in mind, before starting integration.

Whether this is improving throughput, increasing productivity, enhancing machine performance, improving worker safety, reducing machine downtime, or optimizing training outcomes, it is vital to keep a plan in mind to ensure the project has a clear end goal. This helps both with understanding what data should be collected, and how to configure the AI model to best achieve the goal. This advice is most important for digital twin simulations and predictive maintenance.

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Break out of the ordinary: see what’s new in life sciences packaging