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SAP BrandVoice: How AI Is Changing The Game In Manufacturing

Feb 20, 2025 - forbes.com
The article discusses the progress and challenges of AI adoption in the industrial manufacturing sector, which has a head start due to its prior experience with Industry 4.0. Manufacturers have invested in cleaning, standardizing, and integrating data from IoT sensors and production lines, which now gives them an advantage in scaling AI. Despite this, only 16% of industrial manufacturing businesses have integrated AI, compared to 25% across all industries, possibly due to transformation fatigue. The sector's experience offers valuable lessons for others, emphasizing the importance of data quality, integration over disruption, and starting small with targeted AI applications.

AI is transforming manufacturing by enabling predictive maintenance, real-time quality assurance, and energy management, delivering tangible value and smarter processes. The journey involves three steps: automation, process transformation, and autonomy, with most industries currently between automation and transformation. The article highlights that AI is a strategic shift requiring patience and persistence, with the potential for greater efficiency and smarter decision-making. The manufacturing sector's experience underscores the importance of focusing on fundamentals, embracing integration, and aiming for continuous improvement.

Key takeaways:

  • Manufacturers have invested heavily in data cleaning, standardization, and integration during the Industry 4.0 transformation, giving them an edge in scaling AI.
  • AI in manufacturing is enhancing processes through predictive maintenance, quality assurance, and energy management, delivering tangible value.
  • Key lessons for other industries include prioritizing data quality, focusing on integration over disruption, and starting with small, targeted AI applications.
  • The journey of AI adoption in manufacturing involves stages of automation, process transformation, and ultimately, autonomy.
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