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Increase Asset Performance & Food Safety with Industry 4.0 Technologies&_Food_Safety_White_Paper_US

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The global pandemic has accelerated the need for organizations to embrace Industry 4.0 and start realizing digital technology's potential to positively impact their business operations. In fact, a recent McKinsey study reveals that six months into the pandemic, 94% of respondents said that Industry 4.0 had helped them to keep their operations running, and 56% said these technologies had been critical to their crisis responses. If you haven't adopted any Industry 4.0 technologies, you're not alone. Many food and beverage companies have been slow to adopt aligning technologies, yet that's no excuse to not get started. To stay competitive and meet the ever- intensifying needs of Industry 4.0, food and beverage companies must rise to the occasion and make a plan to become digitally connected. As plant equipment and assets are crucial to the delivery of food and beverage products, this is a good place to start. If you can't use your machines, delivering to customers becomes nearly impossible. Leveraging opportunities for improved asset productivity will increase equipment uptime, extend asset lifecycles, support sustainability initiatives, minimize non-compliance issues, and reduce food and worker safety issues. Increase asset performance and food safety with Industry 4.0 technologies White Paper Turn numbers into insights Next-gen technologies are reshaping the asset management landscape and the software that supports it. With the cloud, organizations can securely forego expenditures on hardware and IT in favor of investment in their core lines of business. Analytics technology has become more sophisticated in order to provide the optimal data needed for critical daily decisions. Artificial intelligence (AI), the internet of things (IoT), and machine learning (ML) use advanced sensors and sensor fusion along with edge devices to provide more advanced monitoring and diagnostic capabilities. Sensors incorporated in machinery and equipment today collect volumes of temperature, material wear, moisture level, usage time and other data. Analytics can transform this data into intelligent, predictable, and efficient information to inform when, for example, conditions arise that can compromise food safety. When utilized effectively, these technologies can not only significantly reduce the risks for contamination, they can also help reduce waste, more reliably safeguard food quality, and contribute toward sustainability initiatives.

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