AWS Machine Learning

AUGUST 29, 2022

On August 9, 2022, we announced the general availability of cross-account sharing of Amazon SageMaker Pipelines entities. You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls.

Accountability 90

Accountability APIs Management Engineering 90

AWS Machine Learning

NOVEMBER 19, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon Web Services available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.

APIs 86

APIs Management Engineering Enterprise 86

AWS Machine Learning

JULY 2, 2024

Amazon Bedrock is a fully managed service that makes a wide range of foundation models (FMs) available though an API without having to manage any infrastructure. An Amazon OpenSearch Serverless vector engine to store enterprise data as vectors to perform semantic search. The request is sent by the web application to the API.

APIs 123

APIs Scripts Enterprise Engineering 123

AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.

Enterprise 106

Enterprise APIs Government Accountability 106

AWS Machine Learning

NOVEMBER 14, 2024

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

Government 84

Government Management APIs Accountability 84

AWS Machine Learning

NOVEMBER 18, 2024

It exposes an API endpoint through Amazon API Gateway that proxies the initial prompt request to a Python-based AWS Lambda function, which calls Amazon Bedrock twice. Users or applications submit a prompt as an API request. The pre-signed URL and the evaluation are returned as an API response in JSON format.

APIs 90

APIs Entertainment Benchmark Advertising 90

AWS Machine Learning

OCTOBER 5, 2022

So much exposure naturally brings added risks like account takeover (ATO). Each year, bad actors compromise billions of accounts through stolen credentials, phishing, social engineering, and multiple forms of ATO. To put it into perspective: account takeover fraud increased by 90% to an estimated $11.4

Accountability 79

Accountability APIs Metrics Engineering 79

AWS Machine Learning

NOVEMBER 18, 2024

By using the capabilities of Resilience Hub and Amazon Bedrock, you can share findings with C-suite executives, engineers, managers, and other personas within your corporation to provide better visibility over maintaining a resilient architecture. A second Lambda function invokes the Amazon Bedrock API. AWS Management Console access.

APIs 82

APIs Government Engineering Accountability 82

AWS Machine Learning

NOVEMBER 1, 2024

Dru on the backend decodes log data, deciphers error codes, and invokes API calls to troubleshoot. This approach allowed us to break the problem down into multiple steps: Identify the API route. Generate and invoke private API calls. Having similar names and synonyms in API routes make this retrieval problem more complex.

APIs 103

APIs Scripts Engineering Government 103

AWS Machine Learning

MAY 3, 2023

One aspect of this data preparation is feature engineering. Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.

Engineering 82

Engineering Metrics APIs Big data 82

AWS Machine Learning

NOVEMBER 6, 2024

Enter Amazon Bedrock , a fully managed service that provides developers with seamless access to cutting-edge FMs through simple APIs. Solution overview Amazon Bedrock provides a simple and efficient way to use powerful FMs through APIs, without the need for training custom models. If you don’t have one, you can create a new account.

APIs 108

APIs Accountability Best practices Engineering 108

AWS Machine Learning

NOVEMBER 18, 2024

To address this challenge, this post demonstrates a proactive approach for security vulnerability assessment of your accounts and workloads, using Amazon GuardDuty , Amazon Bedrock , and other AWS serverless technologies. The Lambda function calls Anthropic’s Claude 3 Sonnet model through Amazon Bedrock APIs with the input request.

APIs 68

APIs Accountability Engineering Enterprise 68

AWS Machine Learning

SEPTEMBER 12, 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, Stability AI, and Amazon through a unified API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Healthcare 123

Healthcare APIs Accountability Enterprise 123

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 135

APIs Scripts Finance Real estate 135

AWS Machine Learning

NOVEMBER 22, 2023

We also use Vector Engine for Amazon OpenSearch Serverless (currently in preview) as the vector data store to store embeddings. Here’s how RAG operates: Data sources – RAG can draw from varied data sources, including document repositories, databases, or APIs. Lewis et al. An Amazon SageMaker Studio domain and user.

Engineering 112

Engineering Chatbots Benchmark APIs 112

AWS Machine Learning

OCTOBER 3, 2024

The proposed baseline architecture can be logically divided into four building blocks which that are sequentially deployed into the provided AWS accounts, as illustrated in the following diagram below. Developers can use the AWS Cloud Development Kit (AWS CDK) to customize the solution to align with the company’s specific account setup.

APIs 85

APIs Construction Engineering Accountability 85

AWS Machine Learning

AUGUST 27, 2024

Currently, users might have to engineer their applications to handle scenarios involving traffic spikes that can use service quotas from multiple regions by implementing complex techniques such as client-side load balancing between AWS regions, where Amazon Bedrock service is supported. Become more resilient to any traffic bursts.

APIs 140

APIs Engineering Best practices Management 140

AWS Machine Learning

NOVEMBER 17, 2023

In this post, we explain the common practice of live stream visual moderation with a solution that uses the Amazon Rekognition Image API to moderate live streams. You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo.

APIs 106

APIs Engineering Advertising Accountability 106

Aria Solutions

JUNE 8, 2020

Designing a process from scratch is already a task and a half for your Salesforce org, but re-engineering a process is even a bigger undertaking when the process has been in use for some time. Account for the existing security and access, and the possible need to change them. Demo early, demo often.

Engineering 62

Engineering APIs Consulting Consulting 62

AWS Machine Learning

SEPTEMBER 26, 2024

This domain knowledge is traditionally captured in reference manuals, service bulletins, quality ticketing systems, engineering drawings, and more, but the quantity and complexity of documents is growing and takes time to learn. We demonstrate how to do this using both APIs and the Amazon Bedrock console.

APIs 100

APIs Chatbots Engineering Accountability 100

AWS Machine Learning

NOVEMBER 15, 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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 84

APIs Government Best practices Metrics 84

AWS Machine Learning

NOVEMBER 1, 2024

Index Google Drive documents using the Amazon Q Google Drive connector The Amazon Q Google Drive connector can index Google Drive documents hosted in a Google Workspace account. The connector can’t index documents stored on Google Drive in a personal Google Gmail account. All customer data is indexed only in the customer account.

Enterprise 109

Enterprise APIs Accountability Management 109

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. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account? If you don’t have model permission, refer to Model access.

APIs 122

APIs Engineering Accountability Big data 122

AWS Machine Learning

OCTOBER 11, 2024

Agentic workflows are a fresh new perspective in building dynamic and complex business use case-based workflows with the help of large language models (LLMs) as their reasoning engine. Prerequisites To run this demo in your AWS account, complete the following prerequisites: Create an AWS account if you don’t already have one.

APIs 130

APIs Chatbots Accountability Feedback 130

AWS Machine Learning

NOVEMBER 16, 2022

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

Accountability 89

Accountability Best practices Scripts Engineering 89

AWS Machine Learning

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs 114

APIs Scripts Accountability Entertainment 114

AWS Machine Learning

MAY 15, 2024

Here, Amazon SageMaker Ground Truth allowed ML engineers to easily build the human-in-the-loop workflow (step v). Under the hood, this tool uses artifacts generated by SageMaker (step vii) which is then deployed into the production AWS account (step viii), using SageMaker SDKs. The Amazon API Gateway receives the PUT request (step 1).

Advertising 121

Advertising APIs Engineering Benchmark 121

Aria Solutions

JUNE 8, 2020

Designing a process from scratch is already a task and a half for your Salesforce org, but re-engineering a process is even a bigger undertaking when the process has been in use for some time. Account for the existing security and access, and the possible need to change them. Demo early, demo often. Traceability is exactly this.

Engineering 62

Engineering APIs Consulting Consulting 62

AWS Machine Learning

OCTOBER 15, 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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 120

APIs Construction Engineering Accountability 120

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 137

APIs Big data Accountability Enterprise 137

AWS Machine Learning

OCTOBER 22, 2024

Extensively used by data scientists and ML engineers across various industries, this robust tool provides high availability and uninterrupted access for its users. Because user-level custom EFS instances are only configurable through programmatic API calls, creating users on the AWS Management Console is not considered in our context.

Engineering 103

Engineering Scripts Accountability Consulting 103

AWS Machine Learning

SEPTEMBER 25, 2024

Built on AWS technologies like AWS Lambda , Amazon API Gateway , and Amazon DynamoDB , this tool automates the creation of customizable templates and supports both text and image inputs. This sends the API request to Amazon Bedrock, which is hosting the Anthropic’s Claude 3 Sonnet language model.

APIs 88

APIs Wireless Accountability Technology 88

AWS Machine Learning

MARCH 29, 2024

The Amazon Lex fulfillment AWS Lambda function retrieves the Talkdesk touchpoint ID and Talkdesk OAuth secrets from AWS Secrets Manager and initiates a request to Talkdesk Digital Connect using the Start a Conversation API. If the request to the Talkdesk API is successful, a Talkdesk conversation ID is returned to Amazon Lex.

Cloud contact 111

Cloud contact Contact Center Chatbots APIs 111

AWS Machine Learning

AUGUST 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. Amazon Bedrock service starts an import job in an AWS operated deployment account.

APIs 117

APIs Scripts Real estate Accountability 117

AWS Machine Learning

NOVEMBER 1, 2023

Overview of solution The overarching goal for the engineering team is to detect and redact PII from millions of legal documents for their customers. Using Reveal’s Logikcull solution, the engineering team implemented two processes, namely first pass PII detection and second pass PII detection and redaction.

APIs 106

APIs Government Engineering Telecommunications 106

AWS Machine Learning

AUGUST 20, 2024

Configuring IP-restricted presigned URLs for SageMaker Ground Truth The new IP restriction feature for presigned URLs in SageMaker Ground Truth can be enabled through the SageMaker API or the AWS Command Line Interface (AWS CLI). You can also perform these operations through the SageMaker API using the AWS SDK.

APIs 104

APIs Engineering Accountability Management 104

AWS Machine Learning

OCTOBER 29, 2024

This initiates the pipeline deployment in your AWS account. Yanyan graduated from Texas A&M University with a PhD in Electrical Engineering. Batch inference in Amazon Bedrock efficiently processes large volumes of data using foundation models (FMs) when real-time results aren’t necessary. Choose Submit.

APIs 112

APIs Call Center Accountability Engineering 112