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IBM Cloud delivers enterprise sovereign cloud capabilities

IBM Journey to AI blog

We strongly believe the influx of data associated with AI will fuel tremendous business innovations, but requires strategic considerations, including around where data resides, data privacy, resilience, operational controls, regulatory requirements and compliance, and certifications.

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The Ethics of AI in Business: Balancing Progress and Responsibility

How to Learn Machine Learning

From privacy concerns to algorithmic bias, the impact of AI on society, and the workforce is significant. Privacy and data protection Privacy and data protection are key ethical considerations in the use of AI in business. In conclusion, privacy and data protection are essential components of responsible AI use in business.

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Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning Blog

amazonaws.com Action: - "sts:AssumeRole" Path: "/" Policies: - PolicyName: LexRuntimeRolePolicy PolicyDocument: Version: 2012-10-17 Statement: - Effect: Allow Action: - "polly:SynthesizeSpeech" - "comprehend:DetectSentiment" Resource: "*" Configure the Amazon Lex bot Next, you need to add the bot definition.

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Retain original PDF formatting to view translated documents with Amazon Textract, Amazon Translate, and PDFBox

AWS Machine Learning Blog

To learn more about IAM permissions see Policies and permissions in IAM as well as How Amazon Textract works with IAM and How Amazon Translate works with IAM. Processing time The employment application pdf took about 10 seconds to extract, process and render the translated pdf. We recommend utilizing least privilege permissions.

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Google Research, 2022 & beyond: Research community engagement

Google Research AI blog

Adherence to such public health programs is a prevalent challenge, so researchers from Google Research and the Indian Institute of Technology, Madras worked with ARMMAN to design an ML system that alerts healthcare providers about participants at risk of dropping out of the health information program.

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Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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