Remove Chatbots Remove Multi-Channel Remove Travel
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Chatbots for the tourism industry, a multi-faceted benefit

Inbenta

Today’s travelers no longer go to their local travel agent in order to book their trips, they are more and more connected and digitally savvy, doing all their research online. “64% of travelers and 80% of business users expect travel companies to respond to them in real time.” Chatbot: what is it exactly?

Tourism 121
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How to Enhance the Guest Experience: Trends and Best Practices

InMoment XI

With today’s travelers raising their expectations while being exposed to a seemingly unlimited number of hospitality solutions, it is critical that operators deliver experiences that reflect the lives of their customers. These include online travel agencies (OTAs), social media, mobile apps, and brand websites.

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Build agentic AI solutions with DeepSeek-R1, CrewAI, and Amazon SageMaker AI

AWS Machine Learning

Traditional chatbots are limited to preprogrammed responses to expected customer queries, but AI agents can engage with customers using natural language, offer personalized assistance, and resolve queries more efficiently. In this post, we demonstrate how to use CrewAI to create a multi-agent research workflow.

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Large language model inference over confidential data using AWS Nitro Enclaves

AWS Machine Learning

LLMs have broad applicability, including chatbots, content generation, language translation, sentiment analysis, question answering systems, search engines, and code generation. Most current LLM chatbot solutions explicitly inform users that they should not include PII or PHI when inputting questions due to security concerns.

Chatbots 121
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Build a multi-interface AI assistant using Amazon Q and Slack with Amazon CloudFront clickable references from an Amazon S3 bucket

AWS Machine Learning

This multi-interface, RAG-powered approach not only strives to meet the flexibility demands of modern users, but also fosters a more informed and engaged user base, ultimately maximizing the assistants effectiveness and reach. His passion extends to his proclivity for travel and diverse cultural experiences.

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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning

Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. One of the ways to handle multi-modal data that is gaining popularity is the use of multi-modal agents.

Financial 131
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Unlocking Customer Experience Insights: Strategies for Better Satisfaction

Thematic

Analyze Customer Interactions Across Multiple Touchpoints Customers today engage with businesses across multiple channels. Why Multi-Channel Analysis Matters 60% of consumers have purchased from a brand solely based on the service they expected to receive.