Ravi is the Global Industrial Manufacturing Solution Leader at Amazon Web Services and a multidisciplinary leader in technology. Read Ravi Soni's full executive profile here.
GenAI can potentially revolutionize manufacturing processes from top to bottom. By integrating GenAI with proprietary data sources, the tools can increase productivity and efficiency by providing quick and relevant responses to specific queries, streamlining the information retrieval process and slashing the time employees have to spend searching for the right data.
GenAI can also be an almost magical tool for generating specific content like work instructions and images. Imagine you need to create a manual for a forklift operator, or a list of mandatory procedures to be displayed on workstations. These need to be in very specific formats, but if you’re starting with thousands of pages of information, the task can be overwhelming.
Compounded AI systems, such as retrieval augmented generation , are a good middle ground. They typically combine foundation models with proprietary company data to give context-specific and customized responses. Since each component of the architecture can be individually chosen, manufacturers effectively leverage their internal knowledge and expertise without creating a model from scratch or having to fine-tune an existing model.
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