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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. The resulting vectors are stored in OpenSearch Service databases for efficient retrieval and querying.

AI 80
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How To Set up a NL2SQL System With Azure OpenAI Studio

Towards AI

2782 2122 3 UC San Diego 01/01/2010 Bachelor of Science in Marketing */-Maintain the SQL order simple and efficient as you can, using valid SQL Lite, answer the following questions for the table provided above. Data Science. Data Science.

Azure 122
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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps.

Database 158
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34 new or updated datasets available on the Registry of Open Data on AWS

Flipboard

94-171) Noisy Measurement File (NMF) from United States Census Bureau 2010 Census Production Settings Demographic and Housing Characteristics (DHC) Demonstration Noisy Measurement File from United States Census Bureau 2010 Census Production Settings Redistricting Data (P.L.

AWS 100
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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. The structured dataset includes order information for products spanning from 2010 to 2017.

AWS 104
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Bliki: ConwaysLaw

Hacker News

Teams organized by software layer (eg front-end, back-end, and database) lead to dominant PresentationDomainDataLayering structures, which is problematic because each feature needs close collaboration between the layers. A common mismatch with Conways Law is where an ActivityOriented.

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Analyzing the history of Tableau innovation

Tableau

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired. Release v1.0

Tableau 145