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Automakers and retailers are reimagining the shopping and buying experience in response to changing consumer demands. Product Discovery and Pre-Sales solutions on AWS deliver end-to-end customer experiences that span from initial engagements on mobile devices through to the product showroom. These solutions support the customer's brand journey with digital innovation, developing new and relevant customer touchpoints that increase conversion using analytics and engagement tools.
Unreal Engine on AWS globally and seamlessly delivers high fidelity, immersive 3D experiences without the need for cumbersome/expensive hardware and workstations to host/render the 3D data.
This Guidance shows how to create a product catalog with a similarity search capability by integrating AWS and artificial intelligence (AI) services with the pgvector extension.
This Guidance demonstrates how to build a high-performance Retrieval-Augmented Generation (RAG) chatbot using Amazon Aurora PostgreSQL and the pgvector open-source extension, using AWS artificial intelligence (AI) services and open-source frameworks.
This Guidance helps you centralize and automate the process of storing, converting, optimizing, and distributing 3D and 2D assets using serverless technologies.
This Guidance helps you build and manage an artificial intelligence (AI)-based conversational workflow using a single user interface (UI) through the Conversational Designer by NLX.
This Guidance demonstrates how conversational artificial intelligence and machine learning (AI/ML) technology can be applied to power chatbots and create a more personalized, engaging, and efficient interaction with customers.
