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Use Amazon Q to find answers on Google Drive in an enterprise

AWS Machine Learning

Amazon Q Business is a generative AI-powered assistant designed to enhance enterprise operations. You can tailor Amazon Q Business to your specific business needs by connecting to your company’s information and enterprise systems using built-in connectors to a variety of enterprise data sources. authentication. Using OAuth 2.0

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Govern generative AI in the enterprise with Amazon SageMaker Canvas

AWS Machine Learning

With the rise of powerful foundation models (FMs) powered by services such as Amazon Bedrock and Amazon SageMaker JumpStart , enterprises want to exercise granular control over which users and groups can access and use these models. We provide code examples tailored to common enterprise governance scenarios.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle. With AWS IAM Identity Center , you can create or connect workforce users and centrally manage their access across their AWS accounts and applications.

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Build private and secure enterprise generative AI applications with Amazon Q Business using IAM Federation

AWS Machine Learning

Amazon Q Business is a conversational assistant powered by generative artificial intelligence (AI) that enhances workforce productivity by answering questions and completing tasks based on information in your enterprise systems, which each user is authorized to access.

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Customer Success Needs to Grow (Up)

Speaker: Peter Armaly - Senior Director and Advisor of Customer Success at Oracle

Customer success is a well-established practice in the enterprise business world (70% of companies have a dedicated team, according to TSIA) and the benefits it delivers to customers are real and well-documented. Demand more accountability of the practice. With revenue, comes accountability. It’s time to go the distance.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning

In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses.

APIs 122
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Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents

AWS Machine Learning

Prerequisites Before proceeding, make sure you have the following resources set up: An AWS account. If you don’t have an account, you can sign up for one. The following screenshot shows the three Amazon Bedrock agents that were deployed in your account. To learn more, refer to Amazon Bedrock Agents.

APIs 127