Conversational AI at Scale: Dialogue, Context & Safety

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Bol Conversational AI is no longer a chatbot problem. It's an enterprise systems problem.Conversational AI at Scale: Dialogue, Context & Safety is a practical guide for architects, engineers, technology leaders, and AI governance professionals building real-world conversational AI platforms.Move beyond prompts and prototypes to learn how modern conversational systems are designed, deployed, secured, governed, evaluated, and scaled across large organizations.Inside, you'll learn how to: - Design enterprise-grade dialogue architectures- Build context-aware and memory-enabled AI systems- Implement Retrieval-Augmented Generation (RAG)- Orchestrate LLMs, tools, workflows, and agents- Measure reliability, observability, and user experience- Defend against prompt injection and AI security threats- Create governance frameworks and responsible AI programs- Scale conversational platforms from thousands to millions of interactions- Operate AI safely in regulated and high-risk environments- Prepare for the future of multi-agent and autonomous enterprise systemsFilled with architectural patterns, operational lessons, governance strategies, and real-world design challenges, this book provides a complete blueprint for building trustworthy conversational intelligence at enterprise scale.For AI Architects, ML Engineers, Conversational AI Engineers, Platform Leaders, CTOs, Chief AI Officers, Product Leaders, and Responsible AI teams.

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Conversational AI is no longer a chatbot problem. It's an enterprise systems problem.Conversational AI at Scale: Dialogue, Context & Safety is a practical guide for architects, engineers, technology leaders, and AI governance professionals building real-world conversational AI platforms.Move beyond prompts and prototypes to learn how modern conversational systems are designed, deployed, secured, governed, evaluated, and scaled across large organizations.Inside, you'll learn how to: - Design enterprise-grade dialogue architectures- Build context-aware and memory-enabled AI systems- Implement Retrieval-Augmented Generation (RAG)- Orchestrate LLMs, tools, workflows, and agents- Measure reliability, observability, and user experience- Defend against prompt injection and AI security threats- Create governance frameworks and responsible AI programs- Scale conversational platforms from thousands to millions of interactions- Operate AI safely in regulated and high-risk environments- Prepare for the future of multi-agent and autonomous enterprise systemsFilled with architectural patterns, operational lessons, governance strategies, and real-world design challenges, this book provides a complete blueprint for building trustworthy conversational intelligence at enterprise scale.For AI Architects, ML Engineers, Conversational AI Engineers, Platform Leaders, CTOs, Chief AI Officers, Product Leaders, and Responsible AI teams.

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Pagina's: 311, Paperback, Independently published


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  • 9798181862029
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