Bringing Creativity, Agility, and Efficiency with Generative AI in Industries 24th Edition | Page 51

Unlock the Potential of Open AI in Smart Manufacturing
optimize maintenance workflows . This can reduce downtime , increase productivity , and lower maintenance costs .
However , Generative AI also requires careful implementation and management to ensure its reliability , security , and ethics . Manufacturers need to adopt a data-centric approach to ensure the quality and availability of data for generative AI models . They also need to establish clear standards and guidelines to ensure the safety and accountability of generative AI applications . By doing so , manufacturers can leverage the full potential of generative AI for smart manufacturing .
2 INTRODUCTION
Smart manufacturing refers to the use of advanced technologies and data to optimize the production process and create more value for customers and stakeholders . To unlock the full potential of Smart manufacturing in the Industry 4.0 era , Generative AI , is set to accelerate the transformation .
Generative AI is a type of AI that creates content and ideas , such as conversations , stories , images , videos , and music from simple prompts and context . These systems fall under the broad category of machine learning and are often known as large language models ( LLMs ), a class of foundation models .
Figure 2-1 : The Generative AI Evolution .
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