For many manufacturers investigating AI, there is a great deal of confusion around the capabilities of the technology based on “best case” scenarios and marketing hype. This often leads to cost concerns, delayed deployments, and disappointing results. Instead, a more scaled approach that starts to evolve towards wider AI-based automation often delivers better outcomes for manufacturers. This presentation will highlight how manufacturers can deploy AI and vision technology to solve an immediate problem while gaining insight and user buy-in to develop an automation roadmap. As part of this discussion, we will look at how an electronics manufacturer and distillery are using AI-based tools to first digitize error-prone human processes and gather data to help guide and simplify an AI automation strategy.
Vice President - Product MarketingPleora