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4 Messe Aktuell Dienstag 25 November Europe as the Engine of the Industrial AI Revolution Andrea Gillhuber Artificial Intelligence optimizes manufacturing and maintenance Connor Doherty from DigiKey shares how AIpowered solutions like smart sensors predictive maintenance and digital twins are revolutionizing industrial automation In your opinion what significance does Industrial AI have for the European automation market today? Industrial AI has the potential to revolutionize the automation market entirely and that revolution will begin in Europe The European region consistently drives strong innovation and demand and we expect our European supplier partners to continue their innovative designs to suit the industrial AI revolution We will see increased adoption of AIdriven manufacturing for predictive maintenance minimizing unplanned downtime and extending asset life This will be achieved through process automation advanced analytics for realtime decision making and robotic automation which will enhance capabilities for quality control and efficiency The road to this adoption is already being paved with significant investments in regional AI infrastructure We can expect more AI integration into automation software and increased bridging between research and the industry Which trends in the field of Industrial AI do you currently see particularly strong among your manufacturer partners and customers? AI has taken the entire world by storm and is being used to optimize production processes predict equipment failures and enhance quality control We are seeing AI being utilized to program PLCs and robotics making accurate forecasts and production scheduling smoother among other benefits Over the past couple of years we have been seeing digital twin technology becoming more popular across factory floors Digital twins give manufacturers the ability to accurately view their entire floor in a simulated environment This provides manufacturers the opportunity to see how changes in programming would affect realworld production reducing design cycle time and testing and improving outcomes Adding AI can enhance the accuracy and realism of digital twins by using computer vision machine learning and deep learning to analyze data from sensors cameras and other sources AI can also generate realistic 3D models of physical objects and environments using Generative Adversarial Networks GANs and other techniques AI can enable digital twins to run simulations and scenarios to optimize performance efficiency and sustainability AI can also help digital twins learn from their own experiences adapt to changing conditions and provide insights and recommendations based on the data and outcomes of the simulations Which Industrial AIenabled products and components have you recently added to your portfolio? We have expanded DigiKey’s portfolio with AIenabled technologies including industrial edgelike vision systems with onboard AI that can detect and take action without a central server AIenhanced sensors that support predictive maintenance smart energy monitoring and environmental monitoring and AI control and robotics with embedded machine learning and HMIs that provide predictive alerts Scan the QR code to read the entire interview Hall 7 Booth 106 Connor Doherty is Director of Industrial Automation at DigiKey Im ag e Di gi Ke y