Generative AI has emerged as a transformative force, not only enabling new innovations but also enhancing existing solutions such as predictive maintenance. This session will explore its applications within industrial sectors such as manufacturing, focusing on how capabilities like large language models (LLMs) and retrieval-augmented generation (RAG) can complement machine learning-based predictive maintenance approaches by generating detailed, contextual and actionable insights. By combining the strengths of generative AI and traditional ML, organizations can achieve significant improvements in productivity and operational performance.
Presenting Company: SAS
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