AWS Machine Learning Blog

MARCH 14, 2024

In this post we highlight how the AWS Generative AI Innovation Center collaborated with the AWS Professional Services and PGA TOUR to develop a prototype virtual assistant using Amazon Bedrock that could enable fans to extract information about any event, player, hole or shot level details in a seamless interactive manner.

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SQL AWS AI AI 134

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN. Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Suppliers of data center GPUs include NVIDIA, AMD, Intel, and others.

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AWS ML ML Clustering 113

AWS Machine Learning Blog

APRIL 19, 2023

Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. It also includes support for new hardware like ARM (both in servers like AWS Graviton and laptops with Apple M1 ) and AWS Inferentia. Business requirements We are the US squad of the Sportradar AI department.

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ML ML Deep Learning Deep Learning 95

phData

MAY 25, 2023

Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure. However, Snowflake runs better on Azure than it does on AWS – so even though it’s not the ideal situation, Microsoft still sees Azure consumption when organizations host Snowflake on Azure.

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Power BI Analytics Analytics Azure 84

Flipboard

NOVEMBER 24, 2023

In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language. SnapLogic background SnapLogic is an AWS customer on a mission to bring enterprise automation to the world.

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Database AWS ETL SQL 158