digitise your environmental monitoring programme successfully
Today’s food sector needs to make the most of these new technologies in the data-driven, digitally transformed world. Additionally, it’s critical to avoid “mistakes” by choosing the incorrect investments. One of the cutting-edge augmented diagnostics solutions offered by bioMérieux is their expertise in digitalizing EMP. Here are some essential pointers to make sure the implementation goes well.
There should be a constant reminder of the significance of environmental monitoring programs (EMP) due to recent food recalls. A comprehensive, well-designed EMP that prioritizes identifying infections “before they find us” contributes to the production of safe food and safeguards food companies’ brands. Artificial intelligence (AI) and digital solutions have proliferated, providing food processors with capabilities that will enable them to be even more efficient and proactive.
The importance of digitalization
Digitalization means creating and executing procedures that alter workflows and enhance current manual systems, as opposed to merely translating information into a digital format (think Excel). Digitalization for EMP entails fully automating the processes of trend analysis, outcomes mapping, and “corrective and preventative action” (CAPA).
Digitalizing an EMP has many advantages. In addition to saving time by automating procedures, the speed at which useful information is provided is a crucial benefit. If something isn’t up to par, staff members are alerted right away, which facilitates quick decision-making, starts a CAPA, or finds the source of the problem. The capacity to quickly create dashboards, benchmark various data sets, identify trends early, and identify possible issues before they become serious are further advantages. Lastly, the digitalization of everything simplifies the process of extracting data for root cause investigation, auditing, or simply verifying that the EMP is being implemented correctly.
Prediction analytics’ potential
The food industry is anticipated to be the next to completely adopt big data analytics, machine learning, and artificial intelligence (AI) technologies due to their recent explosion. However, in order to get the most of such technologies, it’s critical to comprehend the dynamics of the food sector. It is difficult to apply big data analytics to food safety and quality because of two elements of the food sector. Firstly, only out-of-spec results can genuinely be used for analysis, despite the fact that manufacturers create enormous amounts of data. Additionally, out-of-spec data is often uncommon, which complicates big-data approaches. Second, whereas many analytics systems make assumptions based on static sets of data, food production plants are dynamic settings with many moving parts and interactions. This makes analytics much more difficult.
To overcome that difficulty, it is critical to link data to expert analysis so that useful and practical insights can be extracted from them. This entails combining data analytics knowledge with knowledge of food safety and quality, microbiology/chemistry, and food processing.
Tools don’t take the place of actions.
It is common knowledge that tools simply reproduce the input that they have been given. At bioMérieux, we think that without a thorough, risk-based EM plan and the appropriate personnel, equipment, and training to carry it out effectively, the data is all unoptimized. Making important judgments about food safety based on the findings from a computerized instrument fed subpar data would be extremely dangerous.
Analyze your present plans and make the required adjustments before introducing any digital solutions or predictive analytics so that you can be sure the analytics are supported by reliable data.
Leaders in food safety and quality now have the chance to make decisions faster, be more proactive, and have stronger EM programs thanks to the development of digital technologies specifically designed for these programs. However, those are only tools; for food farmers throughout the world, data becomes relevant and useful only when bioMérieux, your reliable partner in augmented diagnostics, applies its experience, smart strategies, and perfect execution.
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Have faith in bioMérieux, your partner for enhanced diagnostics.
In conclusion, implementing the newest tools and technology is not the only way to properly digitalize your environmental monitoring program. It entails a comprehensive overhaul of procedures, fusing knowledge with data, and abiding by industry standards for food safety and quality. The food business is poised to benefit from increased safety, efficiency, and reputation management if it approaches the next digital transformation with caution. You can confidently lead the way in augmented diagnostics for a safer and more secure food business with bioMérieux as your partner. As you negotiate this digital frontier, keep in mind that the tools are only as good as the foundation on which they stand.