Remove 2012 Remove Database Remove SQL
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Agents as escalators: Real-time AI video monitoring with Amazon Bedrock Agents and video streams

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You can add new actions by defining additional endpoint handlers following the same pattern and generating a new OpenAPI schema: ``` if __name__ == "__main__": print(app.get_openapi_json_schema()) ``` Text-to-SQL integration Through its action group, the agent is able to translate natural language queries into SQL for structured data analysis.

AWS 140
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Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas

AWS Machine Learning Blog

The workflow includes the following steps: Within the SageMaker Canvas interface, the user composes a SQL query to run against the GCP BigQuery data warehouse. To query from Athena, launch the Athena SQL editor and choose the data source you created. You should be able to run live queries against the BigQuery database.

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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

It was built using a combination of in-house and external cloud services on Microsoft Azure for large language models (LLMs), Pinecone for vectorized databases, and Amazon Elastic Compute Cloud (Amazon EC2) for embeddings. Opportunities for innovation CreditAI by Octus version 1.x x uses Retrieval Augmented Generation (RAG).

AWS 111
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Building the Benchmark: Inside Our Agentic Insurance Underwriting Dataset

Snorkel AI

The AI copilot, in turn, has access to resources that include databases and underwriting guidelines in long-form documents. So, they had to enter a chain of SQL queries to determine the correct criteria and thresholds, interacting with underwriters to obtain the information they needed in the process.

SQL 52
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Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

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The retail team has created a project retailsales-sql-project and the data analysts team has created a project dataanalyst-sql-project within SageMaker Unified Studio. Create a SageMaker Unified Studio domain and three projects using the SQL analytics project profile. See Create a new project to create a project.

SQL 137
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Evaluating AI Agents for Insurance Underwriting

Snorkel AI

The AI copilot, in turn, has access to resources that include databases and underwriting guidelines in long-form documents. So, they had to enter a chain of SQL queries to determine the correct criteria and thresholds, interacting with underwriters to obtain the information they needed in the process.

AI 59
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Evaluating AI Agents for Insurance Underwriting

Snorkel AI

The AI copilot, in turn, has access to resources that include databases and underwriting guidelines in long-form documents. So, they had to enter a chain of SQL queries to determine the correct criteria and thresholds, interacting with underwriters to obtain the information they needed in the process.

AI 59