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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 96
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Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication

AWS Machine Learning

To deploy the solution via the console, launch the following AWS CloudFormation template in your account by choosing Launch Stack. Alternatively, if you deployed the solution using SAM, you need to authenticate to the AWS account the solution was deployed and run sam delete. Pre-Signed URL Lambda Auth Policy. Conclusion.

APIs 80
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Contact Center Trends 2021: The CX Watershed

Fonolo

Bill Quiseng CX Expert, Speaker & Consultant. More and more, customers simply want to solve inquires on their own – especially for simple questions like “what’s the balance on my account.” Seven hundred twenty-two million smartphones were shipped in 2012, bringing the worldwide installed base to 1 billion.

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3 Ultimate Factors of Business Performance

ClearAction

Is customer engagement, artificial intelligence, digital marketing, predictive analytics, big data, or some other “shiny object” the key to driving business performance? Poor traditions allow weak accountability for acting on customer needs. 2 Forrester Research, 2012. 2) Competitor Insight & Foresight.