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Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning Blog

Agmatix’s technology architecture is built on AWS. Their data pipeline (as shown in the following architecture diagram) consists of ingestion, storage, ETL (extract, transform, and load), and a data governance layer. The first step in developing and deploying generative AI use cases is having a well-defined data strategy.

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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning Blog

He has extensive experience in enterprise systems architecture and operations across several industries – particularly in Health Care and Life Science. Jayadeep Pabbisetty is a Senior ML/Data Engineer at Merck, where he designs and develops ETL and MLOps solutions to unlock data science and analytics for the business.

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What are the Biggest Challenges with Migrating to Snowflake?

phData

Matillion Matillion is a complete ETL tool that integrates with an extensive list of pre-built data source connectors, loads data into cloud data environments such as Snowflake, and then performs transformations to make data consumable by analytics tools such as Tableau and PowerBI.

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