Solutions for Artificial Intelligence

Discover curated Solutions that address varied artificial intelligence use cases

Transforming artificial intelligence with AWS

Unlock the full potential of the cloud and innovate faster. AWS offers the broadest set of services, Solutions, and Guidance coupled with pre-built industry AWS Partner Solutions to make it easier to select the right tools for your highest-priority workloads. Use Artificial Intelligence Solutions on AWS to create AI-powered content, deploy intelligent predictive models, and automate business processes across multiple functions.

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Browse Solutions for artificial intelligence

Explore AWS Services, ready-to-deploy AWS Solutions, specialized Partner Solutions, and architectural Guidance for your artificial intelligence use cases.

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Solution Type
Application Development
AWS DeepRacer
Computer Vision
Language Understanding
ML Ops (Code and DevOps)
Personalization and Recommendation
Predictive Analytics
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  • AWS Service

    Amazon Bedrock

    The easiest way to build and scale generative AI applications with foundation models

  • AWS Solution

    QnABot on AWS

    Deploy a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback, powered by large language models (LLMs).
  • AWS Solution

    Generative AI Application Builder on AWS

    Accelerates development and streamlines experimentation by helping you ingest your business-specific data and documents, evaluate and compare the performance of large language models (LLMs), rapidly build extensible applications, and deploy those applications with an enterprise-grade architecture.
  • Guidance

    Collaborative, Unified Data and AI Development on AWS

    This Guidance demonstrates how to use Amazon SageMaker Unified Studio to create a unified development experience for building, deploying, executing, and monitoring end-to-end workflows across AWS data, analytics, and AI/ML services. 

  • Guidance

    Retrieving Data Using Natural Language Queries on AWS

    This Guidance demonstrates how to efficiently retrieve data by using the agent-driven framework of Amazon Bedrock to convert natural language queries (NLQ) into SQL queries.
  • Guidance

    AI Assistants with Amazon Q Business

    This Guidance demonstrates how enterprises can unlock the value of their data through the powerful generative AI capabilities of Amazon Q Business.
  • Guidance

    Live Meeting Assistant on AWS

    This Guidance shows how you can add generative artificial intelligence (generative AI) to your virtual meetings to translate languages, summarize conversations, and capture live insights.
  • Guidance

    Automating Tasks Using Agents for Amazon Bedrock

    This Guidance demonstrates how to build on existing enterprise resources to automate tasks associated with the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock.
  • Guidance

    Custom Search of an Enterprise Knowledge Base with Amazon OpenSearch Service

    This Guidance demonstrates how to build an application for search based on the information in an enterprise knowledge base through the deployment of interface nodes, including large language models (LLMs).
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Artificial Intelligence on AWS

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