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Build a movie chatbot for TV/OTT platforms using Retrieval Augmented Generation in Amazon Bedrock

AWS Machine Learning

In this post, we show you how to securely create a movie chatbot by implementing RAG with your own data using Knowledge Bases for Amazon Bedrock. We use the IMDb and Box Office Mojo dataset to simulate a catalog for media and entertainment customers and showcase how you can build your own RAG solution in just a couple of steps.

Chatbots 109
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Chatbot: Complete Guide

JivoChat

Chatbots have become a success around the world, and nowadays are used by 58% of B2B companies and 42% of B2C companies. In 2022 at least 88% of users had one conversation with chatbots. There are many reasons for that, a chatbot is able to simulate human interaction and provide customer service 24h a day. What Is a Chatbot?

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

To enable the video insights solution, the architecture uses a combination of AWS services, including the following: Amazon API Gateway is a fully managed service that makes it straightforward for developers to create, publish, maintain, monitor, and secure APIs at scale.

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Integrate QnABot on AWS with ServiceNow

AWS Machine Learning

Conversational AI (or chatbots) can help triage some of these common IT problems and create a ticket for the tasks when human assistance is needed. Chatbots quickly resolve common business issues, improve employee experiences, and free up agents’ time to handle more complex problems.

Chatbots 122
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Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning

Gartner predicts that “by 2026, more than 80% of enterprises will have used generative AI APIs or models, or deployed generative AI-enabled applications in production environments, up from less than 5% in 2023.” FOX Corporation (FOX) produces and distributes news, sports, and entertainment content. “We

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Elevate your marketing solutions with Amazon Personalize and generative AI

AWS Machine Learning

Customers can use Amazon Personalize and generative AI to curate concise, personalized content for marketing campaigns, increase ad engagement, and enhance conversational chatbots. According to McKinsey , “71% of consumers expect companies to deliver personalized interactions.” Dear , Desiring the cozy feel of fall? Tim Wu Kunpeng is a Sr.

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs.