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The LLM Land Grab: How AWS, Azure, and GCP Are Sparring Over AI

Towards AI

PC Magazine: # 4 Companies Control 67% of the World’s Cloud Infrastructure Amazon Web Services: The Swiss Army Knife Approach With its vast array of cloud infrastructure offerings and unrivaled scale, Amazon Web Services (AWS) has firmly established itself as the dominant player in the space. Enter Amazon Bedrock, launched in April 2023.

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Data Science News from Microsoft Ignite 2019

Data Science 101

Azure Synapse. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Azure Arc allows deployment and management of Azure services to any environment which can run Kubernetes. R Support for Azure Machine Learning. Azure Quantum.

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Cloud Data Science News Beta #1

Data Science 101

Microsoft Azure. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing. SQL Server 2019 SQL Server 2019 went Generally Available. It can be used to do distributed Machine Learning on AWS.

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Cloud Data Science News – Beta #3

Data Science 101

AWS Storage Day On November 20, 2019, Amazon held AWS Storage Day. Many announcements came out regarding storage of all types at AWS. Much of this is in anticipation of AWS re:Invent, coming in early December 2019. Much of this is in anticipation of AWS re:Invent, coming in early December 2019.

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Find answers accurately and quickly using Amazon Q Business with the SharePoint Online connector

AWS Machine Learning Blog

SharePoint Server 2016, SharePoint Server 2019, and SharePoint Server Subscription Edition are the active SharePoint Server releases. with Resource Owner Password Credentials Flow Azure AD App-Only (OAuth 2.0 The web application that the user uses to retrieve answers would be connected to an IdP or AWS IAM Identity Center.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

van der Aalst 2019 and as a product feature term by Celonis in 2022 and is used extensively in marketing, this concept is far from new in its implementation. on Microsoft Azure, AWS, Google Cloud Platform or SAP Dataverse) significantly improve data utilization and drive effective business outcomes. Click to enlarge!

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Emily Webber of AWS on Pretraining Large Language Models

ODSC - Open Data Science

Recently, we spoke with Emily Webber, Principal Machine Learning Specialist Solutions Architect at AWS. She’s the author of “Pretrain Vision and Large Language Models in Python: End-to-end techniques for building and deploying foundation models on AWS.” And then I spent many years working with customers.

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