Business Intelligence Metadata Prompt Engineering 
AWS Machine Learning Blog
AUGUST 8, 2024
This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock. They used the metadata layer (schema information) over their data lake consisting of views (tables) and models (relationships) from their data reporting tool, Looker , as the source of truth.
IBM Journey to AI blog
JULY 17, 2023
offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting. ” Vitaly Tsivin, EVP Business Intelligence at AMC Networks. To bridge the tuning gap, watsonx.ai
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AWS Machine Learning Blog
JUNE 25, 2024
To create and share customer feedback analysis without the need to manage underlying infrastructure, Amazon QuickSight provides a straightforward way to build visualizations, perform one-time analysis, and quickly gain business insights from customer feedback, anytime and on any device.
AWS Machine Learning Blog
MAY 30, 2024
AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The wrapper function reads the table metadata from the S3 bucket.
AWS Machine Learning Blog
AUGUST 21, 2024
Visualization – Generate business intelligence (BI) dashboards that display key metrics and graphs. We provide a list of reviews as context and create a prompt to generate an output with a concise summary, overall sentiment, confidence score of the sentiment, and action items from the input reviews.
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