Benny Lauwers, author of 'The Good, The Bad and the Practical: AI for doeners', discusses his background and how he got into writing a book on practical AI. He shares his experience in implementing AI in industrial environments, particularly in manufacturing. Lauwers emphasizes the challenges and benefits of applying AI in the industrial setting, including improving quality and safety. He also discusses a case study on using AI to detect and predict bad quality in a tile manufacturing company. The conversation highlights the importance of having people who believe in AI and are willing to take risks in implementing AI projects. The conversation explores the practical implementation of AI in organizations and the challenges that come with it. It emphasizes the importance of taking action based on AI signals and the need to consider the next steps after detection. The discussion also touches on the impact of AI on organizational culture and processes, the importance of data quality and preparation, and the need for companies to invest in IT infrastructure and data connectivity. The conversation concludes with insights on best practices for implementing AI, including considering alternative technologies, starting from the desired output, and the importance of continuous training and retraining of AI models.
CHAPTERS
(00:00) Introduction and Background
(08:32) Practical AI in Industrial Environments
(13:09) Case Study: Using AI in Manufacturing
(21:58) Taking Action Based on AI Signals
(24:02) The Impact of AI on Organizational Culture and Processes
(26:04) The Importance of Data Quality and Preparation
(28:47) Considering Alternative Technologies and Starting from the Desired Output
(32:00) Continuous Training and Retraining of AI Models
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