Unlock the potential of generative AI in industrial operations

This blog post discusses how to unlock the potential of generative AI in industrial operations using Amazon Bedrock and Claude v2.

Specifically, the article covers:

• Challenges of using foundation models (FMs) with industrial time series data
• A solution using PandasAI to generate Python code for time series data analysis based on natural language queries
• Using multi-shot prompts and human auditing to improve the accuracy of FM-generated Python code
• Generating part summaries from images using Amazon Rekognition
• Performing root cause analysis for industrial equipment using retrieval-augmented generation (RAG) with Amazon Bedrock Knowledge Bases
• An end-to-end walkthrough of deploying the solution and using the Streamlit app