APIs, Big data, Enterprise and Feedback - Customer Contact Central

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

AWS Machine Learning

JUNE 30, 2022

In this post, we will continue to build on top of the previous solution to demonstrate how to build a private API Gateway via Amazon API Gateway as a proxy interface to generate and access Amazon SageMaker presigned URLs. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header.

APIs

APIs Enterprise Big data Accountability

Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

OCTOBER 30, 2023

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

APIs

APIs Big data Accountability Enterprise

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock supports multiple vector databases, including Amazon OpenSearch Serverless , Amazon Aurora , Pinecone, and Redis Enterprise Cloud. For enterprise implementations, Knowledge Bases supports AWS Key Management Service (AWS KMS) encryption, AWS CloudTrail integration, and more.

APIs

APIs Healthcare Scripts Enterprise

Secure Amazon SageMaker Studio presigned URLs Part 1: Foundational infrastructure

AWS Machine Learning

JUNE 30, 2022

These traffic routing products generate their own source IP, whose IP range is not controlled by the enterprise customer. This makes it impossible for these enterprise customers to use the aws:sourceIp condition. The corporate portal application makes a private API call using an API Gateway VPC endpoint to create a presigned URL.

APIs

APIs Enterprise Big data Accountability

Identify objections in customer conversations using Amazon Comprehend to enhance customer experience without ML expertise

AWS Machine Learning

APRIL 24, 2023

In this post, we explore how AWS customer Pro360 used the Amazon Comprehend custom classification API , which enables you to easily build custom text classification models using your business-specific labels without requiring you to learn machine learning (ML), to improve customer experience and reduce operational costs.

APIs

APIs Customer Experience Feedback Chatbots

Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

AWS Machine Learning

APRIL 11, 2023

Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner.

APIs

APIs Accountability Scripts Enterprise

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

JANUARY 26, 2024

Reviews can be performed using tools like the AWS Well-Architected Tool , or with the help of your AWS team through AWS Enterprise Support. Define strict data ingress and egress rules to help protect against manipulation and exfiltration using VPCs with AWS Network Firewall policies.

Best practices

Best practices Government Engineering Accountability

Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search

AWS Machine Learning

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. As always, AWS welcomes feedback.

APIs

APIs Enterprise Big data Chatbots

Onboard users to Amazon SageMaker Studio with Active Directory group-specific IAM roles

AWS Machine Learning

JUNE 19, 2023

Sync your AD users and groups and memberships to AWS Identity Center: If you’re using an identity provider (IdP) that supports SCIM, use the SCIM API integration with IAM Identity Center. When the AD user is assigned to an AD group, an IAM Identity Center API ( CreateGroupMembership ) is invoked, and SSO group membership is created.

APIs

APIs Accountability Construction Enterprise

Use Amazon SageMaker Model Card sharing to improve model governance

AWS Machine Learning

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. We encourage you try out the new model card sharing feature and let us know your feedback.

Government

Government Accountability Enterprise Engineering

Improve governance of your machine learning models with Amazon SageMaker

AWS Machine Learning

DECEMBER 1, 2022

As companies are increasingly adopting machine learning (ML) for their mainstream enterprise applications, more of their business decisions are influenced by ML models. You can set up continuous monitoring or scheduled monitors via SageMaker APIs, and edit the alert settings through the Model dashboard. About the authors.

Government

Government Metrics APIs Engineering

Use Amazon SageMaker Model Cards sharing to improve model governance

AWS Machine Learning

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. We encourage you try out the new model card sharing feature and let us know your feedback.

Government

Government Accountability Enterprise Engineering

Call Center Reporting - A New Paradigm

Xaqt

JUNE 22, 2020

Despite significant advancements in big data and open source tools, niche Contact Center Business Intelligence providers are still wed to their own proprietary tools leaving them saddled with technical debt and an inability to innovate from within. By putting it into the public domain, we invite your feedback and contributions.

Call Center

Call Center Contact Center Analytics Engineering

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

AWS Machine Learning

SEPTEMBER 9, 2022

Prior to our adoption of Kubeflow on AWS, our data scientists used a standardized set of tools and a process that allowed flexibility in the technology and workflow used to train a given model. To ensure we meet data compliance standards, we provision our AWS infrastructure in accordance with our athenahealth enterprise guidelines.

Engineering

Engineering Healthcare APIs Scripts

Customer Contact Central

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

Use AWS PrivateLink to set up private access to Amazon Bedrock

Trending Sources

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

Secure Amazon SageMaker Studio presigned URLs Part 1: Foundational infrastructure

Identify objections in customer conversations using Amazon Comprehend to enhance customer experience without ML expertise

Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search

Onboard users to Amazon SageMaker Studio with Active Directory group-specific IAM roles

Use Amazon SageMaker Model Card sharing to improve model governance

Improve governance of your machine learning models with Amazon SageMaker

Use Amazon SageMaker Model Cards sharing to improve model governance

Call Center Reporting - A New Paradigm

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

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