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Streamlining ETL data processing at Talent.com with Amazon SageMaker

AWS Machine Learning Blog

Established in 2011, Talent.com aggregates paid job listings from their clients and public job listings, and has created a unified, easily searchable platform. The solution does not require porting the feature extraction code to use PySpark, as required when using AWS Glue as the ETL solution.

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Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning Blog

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store. Nov-01,22:01:00 1 74.99 …9843 99.50

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DXC transforms data exploration for their oil and gas customers with LLM-powered tools

AWS Machine Learning Blog

In this post, we show you how DXC and AWS collaborated to build an AI assistant using large language models (LLMs), enabling users to access and analyze different data types from a variety of data sources. His research has been published in top-tier conferences like NeurIPS, ICLR, AISTATS, and AAAI, as well as IEEE and ACM Transactions.

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