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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning Blog

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. The primary goal is to automatically generate SQL queries from natural language text. What percentage of customers are from each region?”

SQL 130
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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning Blog

The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.

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Generate financial industry-specific insights using generative AI and in-context fine-tuning

AWS Machine Learning Blog

NOTE : Since we used an SQL query engine to query the dataset for this demonstration, the prompts and generated outputs mention SQL below. A user can ask a business- or industry-related question for ETFs. The question in the preceding example doesn’t require a lot of complex analysis on the data returned from the ETF dataset.

SQL 99
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Accelerate time to business insights with the Amazon SageMaker Data Wrangler direct connection to Snowflake

AWS Machine Learning Blog

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.

ML 77
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Analyzing the history of Tableau innovation

Tableau

IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. March 2013), which is our cloud product. Release v1.0 April 2005) is in the top left corner. The Salesforce purchase in 2019.

Tableau 145
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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

Database 155
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Analyzing the history of Tableau innovation

Tableau

IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. March 2013), which is our cloud product. Release v1.0 April 2005) is in the top left corner. The Salesforce purchase in 2019.

Tableau 98