Fulfillment by Amazon

14 reviews

Fulfillment by Amazon (FBA) helps you grow your online business with access to Amazons world-class fulfillment resources and expertise, acclaimed customer service, and fast, free shipping options.

Amazon Measurement

13 reviews

Our measurement tools capture advertising’s impact on shopping behavior across Amazon and on third-party sites and apps, helping businesses optimize marketing strategies to achieve results.

Sizmek Ad Server

11 reviews

Sizmek Ad Suite gives you everything you need to create, distribute, and optimize your messaging, including ad serving, creative authoring, and industry-leading dynamic creative optimization. Harness the power of a worldwide platform, delivering more than 1.5 trillion impressions a year.

Just Walk Out

4 reviews

Just Walk Out technology enables shoppers to simply enter a store, grab what they want, and just go. Born from years of experience at Amazon Go, Just Walk Out uses a combination of technologies to eliminate checkout lines. We now offer retailers the ability to leverage this technology in their stores to help bring fast and convenient checkout experiences to more shoppers.

Amazon live

3 reviews

Livestream on Amazon Engage with shoppers in real-time and drive sales with interactive livestreams

AWS Service Operator

1 review

A Kubernetes Operator is the combination of one or more customer resource definitions (CRDs) and a controller that reconciles the state of those CRDs. ASO allows containerized applications and Kubernetes users to create, update, delete and retrieve various AWS service objects -- e.g. S3 buckets or RDS databases -- by submitting standard Kubernetes manifests containing the ASO CRDs.

Sizmek DCO

1 review

Sizmek Dynamic Creative Optimization (DCO) provides you with the ability to create hundreds—even thousands—of ads, all personalized to your specific audiences. Enhance your messaging’s relevance and boost your campaign performance with Sizmek DCO.

AWS Strands Agents

0 reviews

AWS Strands Agents is an open-source SDK developed by Amazon Web Services (AWS) to facilitate the creation of autonomous AI agents using a model-driven approach. This framework simplifies agent development by leveraging the advanced reasoning capabilities of large language models (LLMs), allowing developers to build and deploy AI agents with minimal code. Strands Agents is designed to integrate seamlessly with AWS services and supports various LLM providers, including Amazon Bedrock, Anthropic, Meta, and others. Key Features and Functionality: - Model-First Design: Centers the foundation model as the core of agent intelligence, enabling sophisticated autonomous reasoning. - Multi-Agent Collaboration Patterns: Includes built-in coordination models such as Swarm, Graph, and Workflow patterns, facilitating scalable collaboration across distributed agent networks. - Model Context Protocol (MCP) Integration: Offers native support for MCP, ensuring standardized context provision to LLMs for consistent autonomous operation. - AWS Service Integration: Provides seamless connections to AWS services like Amazon Bedrock, AWS Lambda, and AWS Step Functions, enabling comprehensive autonomous workflows. - Foundation Model Selection: Supports various foundation models, including Anthropic Claude and Amazon Nova, allowing optimization for different autonomous reasoning capabilities. - LLM API Integration: Facilitates flexible integration with different LLM service interfaces, including Amazon Bedrock and OpenAI, for production deployment. - Multimodal Capabilities: Supports multiple modalities, including text, speech, and image processing, for comprehensive autonomous agent interactions. - Tool Ecosystem: Offers a rich set of tools for AWS service interaction, with extensibility for custom tools that expand autonomous capabilities. Primary Value and Problem Solved: Strands Agents addresses the complexity and rigidity often associated with traditional AI agent development frameworks. By adopting a model-driven approach, it allows developers to focus on defining prompts and tools, while the LLM autonomously handles task planning and execution. This results in more flexible, resilient agents capable of adapting to various scenarios without extensive manual coding. Additionally, its native integration with AWS services ensures scalability, security, and compliance, making it an ideal solution for organizations seeking to deploy production-ready autonomous AI agents efficiently.