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Want More Sales? Give All Your Money Away!

Beyond Philosophy

Sales soared in 2012. In our customer experience consultancy, we help companies design a customer experience that that fosters customer loyalty and engagement by taking customers’ emotional behavior into account. This isn’t the first time Patagonia has scored big by proclaiming its environmental and social values.

Sales 353
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Outsource Consultants Makes 2019 Inc. 5000 List

Outsource Consultants

Call center advisory firm Outsource Consultants, LLC is making its first appearance on the list, debuting at #1281 with an impressive 321% 3-year growth rate. Outsource Consultants is honored and excited by this recognition. billion in 2018, accounting for 1,216,308 jobs over the past three years. The 2019 Inc.

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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

Central model registry – Amazon SageMaker Model Registry is set up in a separate AWS account to track model versions generated across the dev and prod environments. Approve the model in SageMaker Model Registry in the central model registry account. Create a pull request to merge the code into the main branch of the GitHub repository.

Scripts 119
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Govern generative AI in the enterprise with Amazon SageMaker Canvas

AWS Machine Learning

Provide the AWS Region, account, and model IDs appropriate for your environment. Lijan Kuniyil is a Senior Technical Account Manager at AWS. Lijan has more than 25 years of experience in developing solutions for financial and consulting companies. This way, users can only invoke the allowed models.

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Detect and protect sensitive data with Amazon Lex and Amazon CloudWatch Logs

AWS Machine Learning

For example, you may have the following data types: Name Address Phone number Email address Account number Email address and physical mailing address are often considered a medium classification level. These policies allow to audit and mask sensitive data that appears in log events ingested by the log groups in your account.

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Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning

IAM role that is used by the bot at runtime BotRuntimeRole: Type: AWS::IAM::Role Properties: AssumeRolePolicyDocument: Version: "2012-10-17" Statement: - Effect: Allow Principal: Service: - lexv2.amazonaws.com Rijeesh Akkambeth Chathoth is a Professional Services Consultant at AWS.

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Get to production-grade data faster by using new built-in interfaces with Amazon SageMaker Ground Truth Plus

AWS Machine Learning

With this new capability, multiple Ground Truth Plus users can now create a new project and batch , share data, and receive data using the same AWS account through self-serve interfaces. Before you get started, make sure you have the following prerequisites: An AWS account. Request a new project. Set up a project team. Create a batch.