According to a recent survey by ARC Advisory Group, over 50% of manufacturing companies believe that AI and machine learning will have the biggest impact on their operations in the next five years, surpassing other technologies like cloud infrastructure and clean energy. The industrial AI toolset is expanding beyond generative AI to include techniques like causal AI and neuro-symbolic AI, which are crucial for addressing the complex needs of the industrial sector.
One key trend to watch is the competition for industrial-grade data scientists, as the demand for AI experts who understand manufacturing and industrial processes is growing exponentially. These specialists are essential for developing accurate, explainable, and domain-specific AI skills necessary for the industrial sector to take advantage of investments in edge and cloud infrastructure. Leading organizations are establishing in-house Industrial AI Centers of Excellence to attract, train, and retain these data scientists.
Colin Masson, director of research at ARC Advisory Group, emphasizes the importance of these trends in the Spring 2025 issue of Technology Record. Organizations identified as ‘leaders’ are more likely to recruit and train data scientists and AI specialists to advise them internally, enabling them to capitalize on the potential of AI and machine learning in the industrial sector. To stay updated on these insights, subscribe to Technology Record for free and receive future issues straight to your inbox.
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