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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Conversational AI: Everything You Need to Know for Your Contact Center

Balto

For example, AI chatbots now are capable of providing rich messaging types such as quick replies, carousels, and knowledge base snippets, enabling seamless self-service for your customers. Ideally, the customer shouldn’t have to struggle to communicate their intent to the conversational ai chatbot or virtual assistant.

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Revolutionizing Communication: Unleashing the Power of the Best Artificial Intelligence Chatbots

SmartKarrot

Understanding the basics of AI chatbots An artificial intelligence chatbot is a computer program designed to converse with users through text-based or voice-based interfaces, using Artificial Intelligence (AI) technologies such as Natural Language Processing (NLP) and Machine Learning (ML).

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How to Improve Digital Customer Experience in Banking

REVE Chat Blog

Banks can provide real time support by using live assistance tools like co-browsing & video chat and scale their support with chatbots. Use chatbots as your “Financial Concierge”. Here are some potential use cases of chatbots used in the banks: Customers today expect faster support and 24×7 availability.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. We looked into key components, optimization, and best practices.

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Contact Center AI – What’s out there?

Comm100

Capturing Customer Data. Chatbots and voice AI agents can capture data from customer interactions and feed it into analytics software. Getting ahead of new trends is equally useful in strategic planning, where companies can plan best practices to deal with future issues. Advancing Customer Service.

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Identify objections in customer conversations using Amazon Comprehend to enhance customer experience without ML expertise

AWS Machine Learning

Since conversational AI has improved in recent years, many businesses have adopted cutting-edge technologies like AI-powered chatbots and AI-powered agent support to improve customer service while increasing productivity and lowering costs. About the Authors Ray Wang is a Solutions Architect at AWS.

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