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The Key to Implementing Artificial Intelligence Starts With Good Data

Specright CEO outlines steps to standardize data before applying AI on manufacturing and packaging lines.

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Technology today is generally used to make our lives easier. For example, by predicting our behavior, our iPhones will communicate to us (without our asking) what time to set our alarms, and the best route to take to work. Technology is here, by and large, to help us do common tasks better and more efficiently.

In a PACK EXPO Las Vegas Innovation Stage presentation by Matthew Wright, Founder & CEO of Specright, creators of specification management platforms, attendees learned how artificial intelligence (AI) technology is spilling over into packaging to help operations run smoother.

It’s probably true that as consumers we use more technology in our personal lives than at work, especially AI tools like Chat GPT, smart thermostats, and iPhones. But Wright said that manufacturing and packaging industries, in particular, are lacking in new types of technology like AI.

So, how does AI effect our industry? And how will it come about? Using AI in packaging will eventually be a tool for predicting data, finding trends and patterns, and presenting that data in a simple-to-understand way. Ideally, technology tools like AI will help us work faster, and more efficiently. But where AI can really help is through data prediction. To do this, Wright says you first need really good data.

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