AWS Machine Learning

JUNE 16, 2025

The solution calls a third-party API to fetch a user’s current investment portfolio. The external-bedrock-agent-api code implements a portfolio recommendation system using Amazon Bedrock Agents and Flask. This function transforms user preferences into JSON data and delivers either an API response or error message back to the user.

APIs 94

APIs Scripts Best practices Government 94

AWS Machine Learning

AUGUST 9, 2024

This post provides an overview of a custom solution developed by the AWS Generative AI Innovation Center (GenAIIC) for Deltek , a globally recognized standard for project-based businesses in both government contracting and professional services. Deltek serves over 30,000 clients with industry-specific software and information solutions.

Government 131

Government Healthcare Construction Engineering 131

AWS Machine Learning

JANUARY 9, 2025

Create a custom plugin that invokes an OpenAPI schema of the Amazon API Gateway This API sends emails to the users. After authentication, the user session is stored in the Amazon Q Business application for subsequent API calls. Post-authentication, the custom plugin will pass the token to API Gateway to invoke the API.

APIs 109

APIs Best practices Accountability Enterprise 109

AWS Machine Learning

APRIL 11, 2023

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. We also introduce a logical construct of a shared services account that plays a key role in governance, administration, and orchestration.

APIs 94

APIs Accountability Scripts Enterprise 94

AWS Machine Learning

FEBRUARY 5, 2025

Retrieval and Execution Rails: These govern how the AI interacts with external tools and data sources. Lets delve into a basic Colang script to see how it works: define user express greeting "hello" "hi" "what's up?" model API exposed by SageMaker JumpStart properly. define bot express greeting "Hey there!" The Llama 3.1

Chatbots 106

Chatbots Construction Best practices APIs 106

AWS Machine Learning

FEBRUARY 25, 2025

Organizations trust Alations platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering innovation at scale. With the connector ready, move over to the SageMaker Studio notebook and perform data synchronization operations by invoking Amazon Q Business APIs. secrets_manager_client = boto3.client('secretsmanager')

Enterprise 99

Enterprise Engineering APIs Accountability 99

AWS Machine Learning

JUNE 5, 2025

This transition initiated the model deployment process, which involved: Provisioning infrastructure The software team set up the necessary infrastructure to host the ML API in a test environment. Final integration and testing The software team quickly integrates the API and performs necessary tests, such as integration and load testing.

APIs 60

APIs Engineering Accountability Government 60

CSM Magazine

MAY 13, 2025

It must interface with internal systems, APIs, and structured processes to act effectively, something many businesses havent yet mapped out or made accessible. Develop AI governance principles Ensure your approach to AI adoption is responsible, auditable, and future-ready. In tightly regulated sectors, this poses significant risks.

Construction 52

Construction APIs Enterprise Government 52

AWS Machine Learning

JANUARY 5, 2024

MLOps – Model monitoring and ongoing governance wasn’t tightly integrated and automated with the ML models. Reusability – Without reusable MLOps frameworks, each model must be developed and governed separately, which adds to the overall effort and delays model operationalization.

Management 134

Management APIs Engineering Government 134

AWS Machine Learning

APRIL 14, 2025

Core components Each agent is structured with two primary components: graph.py This script defines the agents workflow and decision-making logic. tools.py This script contains the concrete implementations of agent capabilities. It will start the LangGraph API server in development mode with hot reloading and debugging capabilities.

Government 125

Government Scripts Engineering Management 125

AWS Machine Learning

SEPTEMBER 14, 2023

Amazon API Gateway hosts a REST API with various endpoints to handle user requests that are authenticated using Amazon Cognito. Finally, the response is sent back to the user via a HTTPs request through the Amazon API Gateway REST API integration response. The web application front-end is hosted on AWS Amplify.

APIs 124

APIs Healthcare Scripts Engineering 124

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 119

Scripts APIs Government Analytics 119

AWS Machine Learning

APRIL 1, 2025

The feature supports both interactive testing through the Amazon Bedrock console and automated testing through API integrations, with the ability to export test cases in JSON format for integration into continuous testing pipelines or documentation workflows. This integration enables automated validation of generative AI outputs.

APIs 123

APIs Best practices Feedback Engineering 123

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 138

APIs Healthcare Scripts Enterprise 138

AWS Machine Learning

MAY 8, 2023

It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. This can be a challenge for enterprises in regulated industries that need to keep strong model governance for audit purposes. Now let’s dive deeper into the details. Adds an IAM authorizer.

APIs 94

APIs Accountability Government Scripts 94

AWS Machine Learning

SEPTEMBER 18, 2023

Trained models can be stored, versioned, and tracked in Amazon SageMaker Model Registry for governance and management. Each stage in the ML workflow is broken into discrete steps, with its own script that takes input and output parameters. Let’s look at sections of the scripts that perform this data preprocessing.

Scripts 131

Scripts APIs Government Construction 131

AWS Machine Learning

DECEMBER 21, 2022

Over the years, many table formats have emerged to support ACID transaction, governance, and catalog use cases. A new optional parameter TableFormat can be set either interactively using Amazon SageMaker Studio or through code using the API or the SDK. put_record API to ingest individual records or to handle streaming sources.

Scripts 96

Scripts Engineering APIs Big data 96

AWS Machine Learning

FEBRUARY 13, 2024

SageMaker Feature Store now allows granular sharing of features across accounts via AWS RAM, enabling collaborative model development with governance. This provides an audit trail required for governance and compliance. Additionally, the cross-account capability enhances data governance and security.

Accountability 130

Accountability Government Engineering Scripts 130

AWS Machine Learning

JUNE 27, 2023

Machine Learning Operations (MLOps) provides the technical solution to this issue, assisting organizations in managing, monitoring, deploying, and governing their models on a centralized platform. At-scale, real-time image recognition is a complex technical problem that also requires the implementation of MLOps.

Engineering 117

Engineering APIs Scripts Entertainment 117

AWS Machine Learning

MARCH 31, 2025

These tools allow agents to interact with APIs, access databases, execute scripts, analyze data, and even communicate with other external systems. Process The process layer in CrewAI governs how agents interact, coordinate, and delegate tasks. You dont have to provision capacity, manage infrastructure, or write custom code.

Enterprise 140

Enterprise Engineering Metrics APIs 140

AWS Machine Learning

NOVEMBER 17, 2022

In this post, we provide an overview of how to deploy and run inference with the AlexaTM 20B model programmatically through JumpStart APIs, available in the SageMaker Python SDK. To use a large language model in SageMaker, you need an inferencing script specific for the model, which includes steps like model loading, parallelization and more.

Scripts 101

Scripts APIs Government Engineering 101

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. You can implement comprehensive tests, governance, security guardrails, and CI/CD automation to produce custom app images.

Management 96

Management Scripts Government Engineering 96

AWS Machine Learning

OCTOBER 17, 2024

The data science team can, for example, use the shared EFS directory to store their Jupyter notebooks, analysis scripts, and other project-related files. Improved data governance and security – The shared EFS directory, being centrally managed by the AWS infrastructure admin, can provide improved data governance and security.

Government 117

Government Accountability APIs Engineering 117

AWS Machine Learning

AUGUST 10, 2023

For better observability, customers are looking for solutions to monitor the cross-account resource usage and track activities, such as job launch and running status, which is essential for their ML governance and management requirements. Input Description Example Home Region The Region where the workloads run. aws/config. aws/config.

Scripts 97

Scripts Accountability Metrics Best practices 97

AWS Machine Learning

FEBRUARY 13, 2023

An administrator can run the AWS CDK script provided in the GitHub repo via the AWS Management Console or in the terminal after loading the code in their environment. Choose Open Jupyter to start running the Python script for performing the log analysis. The steps are as follows: Open AWS Cloud9 on the console.

Scripts 96

Scripts Best practices Transportation Construction 96

Pointillist

JULY 25, 2018

Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. During onboarding, the data will remain on your Pointillist-hosted SFTP server until the customer success team has created and quality-checked the requisite ingestion script. Governance. Getting Data into Pointillist.

Analytics 93

Analytics Government Metrics Upselling 93

AWS Machine Learning

JULY 29, 2022

The central data governance block 2 (center) acts as a centralized data catalog with metadata of various registered data products. The processing job queries the data via Athena and uses a script to split the data into training, testing, and validation datasets. The following diagram illustrates the data processing procedure.

Scripts 96

Scripts Analytics Accountability Engineering 96

AWS Machine Learning

OCTOBER 19, 2022

This CloudFormation template provided in this post provisions the EC2 instance and installs RStudio using the user data script. When accessing AWS APIs, you must provide your credentials and Region. In our next post, we will demonstrate how to containerize R scripts and run them using AWS Lambda. Container IAM role.

Analytics 98

Analytics APIs Scripts Government 98

AWS Machine Learning

MAY 3, 2023

With Amazon Bedrock , you will be able to choose Amazon Titan , Amazon’s own LLM, or partner LLMs such as those from AI21 Labs and Anthropic with APIs securely without the need for your data to leave the AWS ecosystem. For the best results, a GenAI app needs to engineer the prompt based on the user request and the specific LLM being used.

Enterprise 94

Enterprise Chatbots APIs Government 94

AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. Valid government-issued ID (driver’s license, passport, etc.)

Best practices 99

Best practices APIs Metrics Benchmark 99

AWS Machine Learning

SEPTEMBER 19, 2024

Users initiate the process by calling the SageMaker control plane through APIs or command line interface (CLI) or using the SageMaker SDK for each individual step. Create a Weights & Biases API key to access the Weights & Biases dashboard for logging and monitoring Request a SageMaker service quota for 1x ml.p4d.24xlarge

Engineering 97

Engineering APIs Scripts Metrics 97

Comm100

MAY 26, 2025

Instead of waiting on a dev to change a trigger or rewrite a script, a coding agent can handle the update. The goal is always the same: reduce reliance on static scripting and improve performance automatically over time. Some agents also use semi-supervised or unsupervised methods to find structure in messy, untagged data.

Customer Support 52

Customer Support Technical Support CRM Analytics 52

AWS Machine Learning

MARCH 14, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. This improves efficiency and allows larger contexts to be used. This supports safer adoption.

Best practices 135

Best practices Engineering Chatbots Enterprise 135

AWS Machine Learning

NOVEMBER 16, 2022

With the tracking information, you can reproduce the workflow steps, track the model and dataset lineage, and establish model governance and audit standards. You can use Boto3 APIs as shown the following example, or you can use the AWS Management Console to create the model package. Refer to Create Model Package Group for more details.

Accountability 98

Accountability Best practices Scripts Engineering 98

AWS Machine Learning

SEPTEMBER 1, 2023

The infrastructure code for all these accounts is versioned in a shared service account (advanced analytics governance account) that the platform team can abstract, templatize, maintain, and reuse for the onboarding to the MLOps platform of every new team. 15K available FM reference Step 1.

Engineering 128

Engineering Accountability Construction APIs 128

AWS Machine Learning

SEPTEMBER 9, 2022

Example components of the standardized tooling include a data ingestion API, security scanning tools, the CI/CD pipeline built and maintained by another team within athenahealth, and a common serving platform built and maintained by the MLOps team.

Engineering 97

Engineering Healthcare APIs Scripts 97

NobelBiz

APRIL 23, 2024

this is governed by the Fair Debt Collection Practices Act (FDCPA), which sets guidelines on how collectors can conduct themselves, the times and methods by which they can contact debtors, and the actions they are prohibited from taking. In the U.S.,

Customer centricity 94

Customer centricity Contact Center Technology Telemarketing 94