Quality Leaders Podcast Robovision
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- Business
In the Quality Leaders podcast, AI-enthusiast Maxime Castelain discusses the challenges and innovations within quality assurance in manufacturing. What keeps the industry experts awake at night? Where is the innovation and what are the technologies behind it? And what role does artificial intelligence play in all this?
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Ep. 8: Kneading the Future: Unveiling Innovations in the Bread and Pastry Industry
In this episode, we delve into the world of food technology with James Slater, R&D Director UK at Puratos. Slater outlines the complexities of food production, sharing how innovations such as machine learning optimisation are reshaping the industry. He discusses an intriguing AI project that helps to mix powders; and the journey towards using machine learning in product design. Slater also explains how AI can enhance process parameters, not only improving product quality but also unearthing deep-rooted procedural issues.
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Ep. 7: From Waste to Efficiency: A CIO's Perspective on Innovation in Waste Recycling
In this episode, Dominic Howson, a CIO in the waste management industry, joins Maxime in a discussion on the role of technology, including AI and data analysis, in improving waste recycling processes. He emphasises the importance of using a combination of technologies to tackle the challenges of waste composition, sorting, and recycling. Howson shares his vision of being a leading innovator in the industry and highlights the need for a practical approach in leveraging technology to make the business more efficient. He also talks about his experience as a judge in a competition for future CIOs and highlights the value of networking and learning from peers as a successful way to develop your business.
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Ep. 6: Automation and Personalisation in the Food Industry: Challenges and Opportunities
In this episode of the Quality Control Leaders podcast, guest Ivo Bigaré discusses the evolution of Delaware’s food division over the past 25 years. Delaware is a consultancy company that develops ICT solutions for clients. The main topic of this episode is how automation can benefit the food industry by preventing cross-contamination, reducing changeover losses, and preventing food loss. Maxime and Ivo also talk through the challenges of personalised food production and the role of new technologies like 3D printing and IoT devices. Ultimately, they share views on what the best investments are in the future of food companies.
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Ep. 5: Embracing AI in Quality Assurance from a Risk Manager’s Perspective
Mandy van den Broek is an owner of a risk management company focused on the food industry. As an external specialist she keeps track of all innovations within the market to integrate them in the best way for her clients. In this episode, Mandy describes how blockchain technology increases the focus on supply chain transparency and traceability, and how the use of artificial intelligence makes a big difference in identifying potential issues in production. She also highlights the importance of thorough preparation when it comes to implementing AI, because it comes with risks.
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Ep. 4: Engineering the Food Industry Forward: a Challenging but Limitless Evolution
In this episode Maxime has two guests: managing director Bram de Vrught and deep learning engineer Teun Keusters, both from Qing Engineering. They discuss the specific challenges in the food industry, such as the growing demand for high-quality food and the shortage of labour. They also take a closer look at the technologies that are tackling these challenges, and explain how Vision AI and machines are pushing the industry forward.
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Ep. 3: Ensuring Safe and Consistent Quality of Cocoa Products on a Global Scale
In this episode, we zoom in on the cocoa industry. Ensuring safe cocoa products is not easy, because a lot can happen during the production process. It starts in the cocoa farms: they are situated in tropical countries with different geographical influences. After that comes transportation, storage, production, etcetera. How does the cocoa industry control the products’ quality during all those stages? And what kind of technological systems do they use to do that?