Exploring text-to-SQL: How Carnegie Mellon grad is using Amazon SageMaker - The Grad Project

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awsdevelopers
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Within a Cybersecurity investigation workflow, Security Analysts rely heavily on SQL queries to gather information for research and investigation purposes. Leveraging the productivity boost from Machine Learning, Vince, a recent graduate from Carnegie Mellon, aims to reduce the query-tuning barriers so that analysts can focus their Security efforts on identifying critical issues.

Follow along as Vince demonstrates the power of Text-to-SQL Machine Learning using Amazon SageMaker Studio Lab in the follow-up YouTube workshop: https://youtu.be/9wWqHFjhO-g




#AWS #SageMaker
Category
AWS Developers
Tags
Amazon SageMaker Studio, Cybersecurity AI, Machine Learning
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