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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning Blog

This wealth of content provides an opportunity to streamline access to information in a compliant and responsible way. Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles.

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Advantages of Using Microsoft Azure for Data Preservation and Security

Smart Data Collective

One tool that many data-driven organizations have started using is Microsoft Azure. Despite Microsoft Azure having approximately 715 million users on its directory – including 85% of Fortune 500 companies – many organizations still have issues settling their decision to use its cloud services. . Let’s begin…. Yeah, awesome!

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Why using Infrastructure as Code for developing Cloud-based Data Warehouse Systems?

Data Science Blog

Enhanced Security and Compliance Data Warehouses often store sensitive information, making security a paramount concern. The following Terraform script will create an Azure Resource Group, a SQL Server, and a SQL Database. Of course, Terraform and the Azure CLI needs to be installed before.

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Azure service cloud summarized: Part I

Mlearning.ai

Learning about the framework of a service cloud platform is time consuming and frustrating because there is a lot of new information from many different computing fields (computer science/database, software engineering/developers, data science/scientific engineering & computing/research).

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Google Cloud Platform vs. AWS: Is the Answer Obvious? Maybe Not

Dataversity

Google Cloud Platform vs. AWS: What’s the deal? A while back, we also asked the same question about Azure vs. AWS. After the release of the latest earnings reports a few weeks ago from AWS, Azure, and GCP, it’s clear that Microsoft is continuing to see growth, Amazon is […].

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Integrate Amazon Bedrock Knowledge Bases with Microsoft SharePoint as a data source

AWS Machine Learning Blog

Amazon Bedrock Knowledge Bases provides foundation models (FMs) and agents in Amazon Bedrock contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG) to deliver more relevant, accurate, and customized responses. For more information, see Tag resources. Choose Next.

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Train and deploy ML models in a multicloud environment using Amazon SageMaker

AWS Machine Learning Blog

For example, you might have acquired a company that was already running on a different cloud provider, or you may have a workload that generates value from unique capabilities provided by AWS. We show how you can build and train an ML model in AWS and deploy the model in another platform.

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