health care
Novolyze EMP Adds Predictive Insights and Machine Learning to Improve Food Safety
Improve compliance, predict outbreaks, and predict pathogens such as Listeria and Salmonella
Published: Monday, May 15, 2023 – 12:01
(Novolyze: Washington, DC) — Novolyze, a leader in food safety solutions and quality digitalization technology, has upgraded its Environmental Monitoring Program (EMP) to incorporate advanced predictive analytics and machine learning. This latest upgrade enables Novolyze’s technology to automatically generate trend charts and digital “heat” maps using digital data. This will improve forecasting and predicting the outbreak of pathogens such as Listeria and Salmonella, which have surged in recent months.
EMP is a key tool for food and beverage manufacturers to maintain food safety and quality, especially for ready-to-eat (RTE) foods. These are foods that require no further cooking or processing before consumption. This increases the risk of contamination with foodborne pathogens.
Novolyze’s EMP has always been an important tool for ensuring food safety and compliance. By testing the environment, including surfaces and equipment, EMP helps manufacturers identify potential contamination risks and take appropriate corrective action to eliminate the risks. New upgrades make Novolyze’s EMP even more robust, providing manufacturers with real-time, predictive analytics to stay ahead of potential foodborne outbreaks.
“We are committed to providing the latest technology and solutions to help the food industry mitigate risk and maintain the highest levels of food safety,” said Karim-Franck Khinouche, CEO of Novolyze. increase. “With this latest upgrade, our EMP is stronger than ever and we look forward to continuing to help our customers maintain food safety.”
Using predictive insights in EMP helps food and beverage manufacturers identify potential areas of contamination before they become problems. By collecting and analyzing data on environmental conditions such as temperature, humidity and hygiene practices, manufacturers can develop models that predict when and where potential contamination events will occur. This allows you to take proactive steps to prevent contamination rather than waiting and reacting to problems.
For example, if a manufacturer uses predictive models to identify a particular area at high risk of contamination within a facility, it can increase sanitary measures in that area or adjust production processes to reduce the risk. can take steps to By doing so, you can prevent potential food safety issues and ensure that his RTE food you manufacture is safe for consumption. His EMP at Novolyze can support these efforts.
Additionally, the use of predictive insights in EMP can help improve product quality. By monitoring and analyzing data about environmental conditions, manufacturers can identify and address issues such as changes in temperature and humidity that can affect product quality. This ensures that product quality is stable and meets consumer expectations.
“Novolyze’s EMP is particularly relevant in our current climate where outbreaks of food poisoning have become very common,” says Kinoush. “By leveraging the latest technologies such as predictive analytics and machine learning, Novolyze’s EMP mitigates food safety and quality control issues, enabling manufacturers to maintain the highest levels of food safety and helping consumers allows us to trust the food we eat.”
For more information, visit novolyze.com.
