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.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption.

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AWS Machine Learning Machine Learning ML 126

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. schemas["my_schema"].tables.create(my_table)

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Python Database Data Pipeline SQL 52

phData

FEBRUARY 14, 2023

To keep up with the rapidly growing Insurance industry and its increasing data and compute needs, it’s important to centralize data from multiple sources while maintaining high performance and concurrency. Masked data provides a cost-effective way to help test if a system or design will perform as expected in real-life scenarios.

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Data Governance Data Silos Predictive Analytics Data Wrangling 52