Flipboard

JUNE 26, 2023

These techniques utilize various machine learning (ML) based approaches. In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience.

AWS 123

AWS ML ML ETL 123

AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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AWS ML ML Data Classification 99

phData

JULY 1, 2024

Snowflake AI & ML Studio : Snowflake is set to release new capabilities that allow users of all skill levels to try out LLMs in Snowflake and compare outputs from multiple models in a playground-type environment. It allows data engineers familiar with Python and Pandas to run their Pandas code in a scalable and distributed manner.

Python 52

Python Database Data Pipeline SQL 52

AWS Machine Learning Blog

MARCH 27, 2025

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. This use case, solvable through ML, can enable support teams to better understand customer needs and optimize response strategies.

AWS 111

AWS ETL ML ML 111