Accountability APIs Groups 
AWS Machine Learning
NOVEMBER 22, 2024
AWS recommends using AWS IAM Identity Center when you have a large number of users in order to achieve a seamless user access management experience for multiple Amazon Q Business applications across many AWS accounts in AWS Organizations. illustrate how the administrators can automate Steps 2 and 3 using AWS APIs. and oidcapp.py
AWS Machine Learning
NOVEMBER 7, 2024
In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences. An automotive retailer might use inventory management APIs to track stock levels and catalog APIs for vehicle compatibility and specifications.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Machine Learning
SEPTEMBER 13, 2024
Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.
AWS Machine Learning
NOVEMBER 14, 2024
For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. For multiple accounts, assign mandatory tags to each one, identifying its purpose and the owner responsible.
AWS Machine Learning
SEPTEMBER 20, 2024
Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. The ReAct approach enables agents to generate reasoning traces and actions while seamlessly integrating with company systems through action groups.
AWS Machine Learning
APRIL 11, 2023
Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. One important aspect of this foundation is to organize their AWS environment following a multi-account strategy. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs.
AWS Machine Learning
AUGUST 2, 2024
With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. Specifically, GraphStorm 0.3
Expert insights. Personalized for you.
80 
Let's personalize your content