“AI can be a game changer, transforming the way products are developed, manufactured, and distributed”
In this exclusive interview, Mr de Souza de Carvalho, Roquette’s Global Head of Marketing for Food & Nutrition, explains how artificial intelligence, already used in the healthcare and logistics sectors, could transform the food industry while addressing safety and regulatory challenges, as part of the “Will AI really revolutionise life sciences and the food industry?” round table he will be participating in.
– What can we learn from the impact AI has already had on the healthcare and logistics industries for the food sector?
The healthcare and logistics industries have already seen significant benefits from the adoption of AI, particularly in areas such as predictive maintenance, supply chain optimisation, and personalised medicine. Similarly, in the food sector, AI can be a game changer, transforming the way products are developed, manufactured, and distributed. By leveraging AI, we can accelerate research and development, forecast sales trends, automate quality checks, simplify complex document workflows, and accelerate product development for our customers to offer more personalised products to consumers.
– Can you share concrete examples of AI improving food manufacturing or formulation processes?
Sure! At Roquette, we have implemented AI-driven solutions to optimise our manufacturing processes, forecast sales trends, automate quality checks, and simplify complex document workflows. For example, our advanced analytics team uses AI to analyse vast datasets from biorefineries, identifying optimal process parameters much faster than traditional statistical methods. By integrating predictive models, we can forecast sales trends and detect early signs of potential machine failures. We have also implemented deep learning algorithms to automate the quality checks in our packaging processes, reducing human error and improving packaging accuracy by 20%.
– How can AI help enhance food safety, and what are the regulatory implications to consider?
AI can play a crucial role in enhancing food safety by enabling real-time monitoring and detection of potential contaminants or safety issues. For example, AI can detect inconsistencies in food production and packaging, identify potential foodborne illnesses, and monitor supply chains to prevent contamination. However, it’s important to consider regulatory implications and ensure that AI solutions comply with relevant food safety regulations and standards. At Roquette, we are committed to ethical AI practices and strive to ensure that our solutions meet all necessary regulatory requirements.
– What skills and training are needed for food industry professionals to take full advantage of AI?
To take full advantage of AI, food industry professionals should have a strong foundation in data analytics and machine learning. They should also have a deep understanding of food science and manufacturing processes, as well as an ability to collaborate and communicate effectively with data scientists and other technical experts. Training and development opportunities in these areas can be essential for professionals to be able to leverage AI in their work.
– How can companies assess the return on investment of AI in their food operations and processes?
Companies can assess the return on investment of AI in their food operations and processes by measuring key performance indicators such as cost savings, efficiency gains, and improved product quality. They should also consider the potential impact on customer satisfaction and brand reputation. The ROI of AI may vary depending on the specific business needs and goals, but it can be a powerful tool for driving innovation and sustainability in the food industry.
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