APIs, Big data and Scripts - Customer Contact Central

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning

OCTOBER 31, 2024

The custom Google Chat app, configured for HTTP integration, sends an HTTP request to an API Gateway endpoint. Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. Run the script init-script.bash : chmod u+x init-script.bash./init-script.bash

APIs

APIs Scripts Accountability Construction

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs. To get started, set-up a name for your experiment.

Government

Government Management APIs Accountability

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

AWS Machine Learning

APRIL 11, 2023

In the post Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication , we demonstrated how to build a private API to generate Amazon SageMaker Studio presigned URLs that are only accessible by an authenticated end-user within the corporate network from a single account.

APIs

APIs Accountability Scripts Enterprise

Fine-tune and deploy a summarizer model using the Hugging Face Amazon SageMaker containers bringing your own script

AWS Machine Learning

JULY 29, 2022

Amazon SageMaker is a fully managed service that provides developers and data scientists the ability to build, train, and deploy machine learning (ML) models quickly. The SageMaker Python SDK provides open-source APIs and containers to train and deploy models on SageMaker, using several different ML and deep learning frameworks.

Scripts

Scripts APIs Big data Engineering

Deploy a Slack gateway for Amazon Bedrock

AWS Machine Learning

JUNE 19, 2024

The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. About the Authors Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

APIs

APIs Engineering Accountability Big data

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

FEBRUARY 29, 2024

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs

APIs Healthcare Scripts Enterprise

Generate images from text with the stable diffusion model on Amazon SageMaker JumpStart

AWS Machine Learning

NOVEMBER 7, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. If you want to jump straight into the JumpStart API code we go through in this post, you can refer to the following sample Jupyter notebook: Introduction to JumpStart – Text to Image.

APIs

APIs Scripts Enterprise Big data

Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

AWS Machine Learning

DECEMBER 21, 2022

SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table.

Scripts

Scripts Engineering APIs Big data

Run text generation with GPT and Bloom models on Amazon SageMaker JumpStart

AWS Machine Learning

NOVEMBER 7, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform inference, both via the Studio UI and via JumpStart APIs. JumpStart overview. Solution overview.

APIs

APIs Scripts Enterprise Big data

Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

MARCH 23, 2023

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

Scripts

Scripts APIs Government Analytics

Run image segmentation with Amazon SageMaker JumpStart

AWS Machine Learning

AUGUST 26, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform semantic segmentation with JumpStart, both via the Studio UI and via JumpStart APIs. Solution overview.

APIs

APIs Scripts Enterprise Big data

Securing MLflow in AWS: Fine-grained access control with AWS native services

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.

APIs

APIs Government Accountability Scripts

Build a custom UI for Amazon Q Business

AWS Machine Learning

JUNE 12, 2024

This solution uses an Amazon Cognito user pool as an OAuth-compatible identity provider (IdP), which is required in order to exchange a token with AWS IAM Identity Center and later on interact with the Amazon Q Business APIs. Amazon Q uses the chat_sync API to carry out the conversation. You can also find the script on the GitHub repo.

APIs

APIs Enterprise Accountability Feedback

MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD

AWS Machine Learning

AUGUST 29, 2023

When a new version of the model is registered in the model registry, it triggers a notification to the responsible data scientist via Amazon SNS. When the review process is complete, the data scientist can proceed and approve the new version of the model in the model registry.

Scripts

Scripts APIs Enterprise Accountability

Access Snowflake data using OAuth-based authentication in Amazon SageMaker Data Wrangler

AWS Machine Learning

MARCH 22, 2023

Access and permissions to configure IDP to register Data Wrangler application and set up the authorization server or API. For data scientist: An S3 bucket that Data Wrangler can use to output transformed data. An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles.

APIs

APIs Engineering Analytics Scripts

Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning

JULY 15, 2024

We use the custom terminology dictionary to compile frequently used terms within video transcription scripts. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud. Adrian Martin is a Big Data/Machine Learning Lead Engineer at Mission Cloud. Here’s an example.

Engineering

Engineering Entertainment Big data Benchmark

Developing advanced machine learning systems at Trumid with the Deep Graph Library for Knowledge Embedding

AWS Machine Learning

JULY 25, 2022

For production, we wanted to invoke the model as a simple API call. We found that we didn’t need to separate data preparation, model training, and prediction, and it was convenient to package the whole pipeline as a single script and use SageMaker processing.

Scripts

Scripts Engineering Analytics APIs

Reduce cost and development time with Amazon SageMaker Pipelines local mode

AWS Machine Learning

OCTOBER 4, 2022

Developers usually test their processing and training scripts locally, but the pipelines themselves are typically tested in the cloud. One of the main drivers for new innovations and applications in ML is the availability and amount of data along with cheaper compute options. Build your pipeline.

Scripts

Scripts Engineering Management APIs

Four approaches to manage Python packages in Amazon SageMaker Studio notebooks

AWS Machine Learning

MARCH 7, 2023

When you open a notebook in Studio, you are prompted to set up your environment by choosing a SageMaker image, a kernel, an instance type, and, optionally, a lifecycle configuration script that runs on image startup. The main benefit is that a data scientist can choose which script to run to customize the container with new packages.

Management

Management Scripts Government Engineering

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning

DECEMBER 18, 2023

The SageMaker Canvas UI lets you seamlessly integrate data sources from the cloud or on-premises, merge datasets effortlessly, train precise models, and make predictions with emerging data—all without coding. Solution overview Users persist their transactional time series data in MongoDB Atlas.

Finance

Finance APIs Big data Analytics

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

SEPTEMBER 9, 2022

When the message is received by the SQS queue, it triggers the AWS Lambda function to make an API call to the Amp catalog service. The Lambda function retrieves the desired show metadata, filters the metadata, and then sends the output metadata to Amazon Kinesis Data Streams. Data Engineer for Amp on Amazon.

Analytics

Analytics Engineering Metrics APIs

Build and train computer vision models to detect car positions in images using Amazon SageMaker and Amazon Rekognition

AWS Machine Learning

AUGUST 3, 2023

Finally, we show how you can integrate this car pose detection solution into your existing web application using services like Amazon API Gateway and AWS Amplify. For each option, we host an AWS Lambda function behind an API Gateway that is exposed to our mock application. iterdir(): if p_file.suffix == ".pth":

APIs

APIs Scripts Engineering Technical Support

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

FEBRUARY 13, 2024

The second script accepts the AWS RAM invitations to discover and access cross-account feature groups from the owner level. His expertise spans a broad spectrum, encompassing scalable architectures, distributed computing, big data analytics, micro services and cloud infrastructures for organizations.

Accountability

Accountability Government Engineering Scripts

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. Each project maintained detailed documentation that outlined how each script was used to build the final model.

Engineering

Engineering Healthcare APIs Scripts

6 Online Data Analyst Courses

JivoChat

JANUARY 31, 2023

The Data Analyst Course With the Data Analyst Course, you will be able to become a professional in this area, developing all the necessary skills to succeed in your career. The course also teaches beginner and advanced Python, basics and advanced NumPy and Pandas, and data visualization.

Analytics

Analytics APIs Big data Scripts

Organize your machine learning journey with Amazon SageMaker Experiments and Amazon SageMaker Pipelines

AWS Machine Learning

JULY 21, 2022

As a result, this experimentation phase can produce multiple models, each created from their own inputs (datasets, training scripts, and hyperparameters) and producing their own outputs (model artifacts and evaluation metrics). At the start, the process is full of uncertainty and is highly iterative.

Metrics

Metrics Scripts Enterprise Telecommunications

Call Center Analytics: How to Analyze Call Center Data

Balto

JANUARY 14, 2025

But modern analytics goes beyond basic metricsit leverages technologies like call center data science, machine learning models, and big data to provide deeper insights. Predictive Analytics: Uses historical data to forecast future events like call volumes or customer churn. What is contact center big data analytics?

Call Center

Call Center Analytics Average Handle Time Big data

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

AWS Machine Learning

JANUARY 26, 2024

Define strict data ingress and egress rules to help protect against manipulation and exfiltration using VPCs with AWS Network Firewall policies. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes.

Best practices

Best practices Government Engineering Accountability

Clario enhances the quality of the clinical trial documentation process with Amazon Bedrock

AWS Machine Learning

APRIL 15, 2025

Amazon Bedrock : Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Healthcare

Healthcare Engineering APIs Scripts

Customer Contact Central

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

Trending Sources

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

Fine-tune and deploy a summarizer model using the Hugging Face Amazon SageMaker containers bringing your own script

Deploy a Slack gateway for Amazon Bedrock

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

Generate images from text with the stable diffusion model on Amazon SageMaker JumpStart

Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

Run text generation with GPT and Bloom models on Amazon SageMaker JumpStart

Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

Run image segmentation with Amazon SageMaker JumpStart

Securing MLflow in AWS: Fine-grained access control with AWS native services

Build a custom UI for Amazon Q Business

MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD

Access Snowflake data using OAuth-based authentication in Amazon SageMaker Data Wrangler

Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

Developing advanced machine learning systems at Trumid with the Deep Graph Library for Knowledge Embedding

Reduce cost and development time with Amazon SageMaker Pipelines local mode

Four approaches to manage Python packages in Amazon SageMaker Studio notebooks

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

Build and train computer vision models to detect car positions in images using Amazon SageMaker and Amazon Rekognition

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

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

6 Online Data Analyst Courses

Organize your machine learning journey with Amazon SageMaker Experiments and Amazon SageMaker Pipelines

Call Center Analytics: How to Analyze Call Center Data

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

Clario enhances the quality of the clinical trial documentation process with Amazon Bedrock

Stay Connected

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

Trending Sources

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

Fine-tune and deploy a summarizer model using the Hugging Face Amazon SageMaker containers bringing your own script

Deploy a Slack gateway for Amazon Bedrock

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

Generate images from text with the stable diffusion model on Amazon SageMaker JumpStart

­­Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

Run text generation with GPT and Bloom models on Amazon SageMaker JumpStart

Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

Run image segmentation with Amazon SageMaker JumpStart

Securing MLflow in AWS: Fine-grained access control with AWS native services

Build a custom UI for Amazon Q Business

MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD

Access Snowflake data using OAuth-based authentication in Amazon SageMaker Data Wrangler

Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

Developing advanced machine learning systems at Trumid with the Deep Graph Library for Knowledge Embedding

Reduce cost and development time with Amazon SageMaker Pipelines local mode

Four approaches to manage Python packages in Amazon SageMaker Studio notebooks

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

Build and train computer vision models to detect car positions in images using Amazon SageMaker and Amazon Rekognition

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

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

6 Online Data Analyst Courses

Organize your machine learning journey with Amazon SageMaker Experiments and Amazon SageMaker Pipelines

Call Center Analytics: How to Analyze Call Center Data

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

Clario enhances the quality of the clinical trial documentation process with Amazon Bedrock

Stay Connected

Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction