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.
