According to Rockwell Automation’s 9th Annual State of Smart Manufacturing Report, 83% of companies plan to implement AI this year, making it the top area for investment in the next 12 months.
As a manufacturing leader, you’re likely exploring AI’s potential to transform your operations. But with so much hype, how do you separate reality from fiction?
In our latest article, “AI in Manufacturing: Do’s and Don’ts for Smart Adoption,” TBM’s CEO, Bill Remy, and Board of Directors member, Gary Freburger, provide practical advice on successfully integrating AI into manufacturing while steering clear of common pitfalls, including the danger of overconfidence.
In this article, you’ll discover:
AI is a powerful tool for enhancing decision-making in manufacturing, but it’s not a replacement for human expertise and execution. It can identify improvement opportunities, but its effectiveness hinges on the quality and organisation of data. Poorly managed data leads to unreliable AI analytics, making proper data management essential. To ensure successful AI adoption, manufacturers should take a phased “crawl, walk, run” approach—starting with basic analytics and performance metrics, then gradually scaling AI once a solid foundation has been built and its value proven.
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