Kore.ai Conversational AI Development (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"Kore.ai Conversational AI Development" Unlock the full potential of modern conversational AI with "Kore.ai Conversational AI Development," a comprehensive guide for professionals seeking to design, build, and deploy intelligent virtual assistants using the Kore.ai platform. This book begins by firmly grounding readers in the principles of conversational AI, explaining natural language understanding, dialog modeling, multimodal interactions, and the core architectural components that drive the Kore.ai ecosystem. Covering everything from SDKs and APIs to robust security and compliance measures,...
"Kore.ai Conversational AI Development"
Unlock the full potential of modern conversational AI with "Kore.ai Conversational AI Development," a comprehensive guide for professionals seeking to design, build, and deploy intelligent virtual assistants using the Kore.ai platform. This book begins by firmly grounding readers in the principles of conversational AI, explaining natural language understanding, dialog modeling, multimodal interactions, and the core architectural components that drive the Kore.ai ecosystem. Covering everything from SDKs and APIs to robust security and compliance measures, it provides a foundational platform overview tailored for developers, architects, and enterprise IT leaders.
Delving deeper, the book presents advanced bot architecture strategies and practical design techniques, illustrating modular, hierarchical, and event-driven bot patterns. Through detailed discussion of dialog management, intent recognition, and iterative testing with simulation frameworks, readers learn how to engineer reliable and secure bots for complex enterprise environments. The text further explores deep integration with business systems-demonstrating strategies for secure data exchange, workflow automation, API orchestration, and real-time event-driven connections-enabling seamless and scalable enterprise deployments across multiple channels.
Rounding out its practical guidance, "Kore.ai Conversational AI Development" addresses deployment at scale, robust monitoring and analytics-driven optimization, and the rigorous requirements of security, compliance, and governance. The book looks ahead to emerging trends: generative AI, large language model integration, multimodal and voice-first experiences, ethics in AI, and self-learning bots. Drawing on industry best practices and real-world use cases spanning finance, healthcare, and beyond, this authoritative resource positions readers at the forefront of innovation in conversational AI and digital transformation.
Unlock the full potential of modern conversational AI with "Kore.ai Conversational AI Development," a comprehensive guide for professionals seeking to design, build, and deploy intelligent virtual assistants using the Kore.ai platform. This book begins by firmly grounding readers in the principles of conversational AI, explaining natural language understanding, dialog modeling, multimodal interactions, and the core architectural components that drive the Kore.ai ecosystem. Covering everything from SDKs and APIs to robust security and compliance measures, it provides a foundational platform overview tailored for developers, architects, and enterprise IT leaders.
Delving deeper, the book presents advanced bot architecture strategies and practical design techniques, illustrating modular, hierarchical, and event-driven bot patterns. Through detailed discussion of dialog management, intent recognition, and iterative testing with simulation frameworks, readers learn how to engineer reliable and secure bots for complex enterprise environments. The text further explores deep integration with business systems-demonstrating strategies for secure data exchange, workflow automation, API orchestration, and real-time event-driven connections-enabling seamless and scalable enterprise deployments across multiple channels.
Rounding out its practical guidance, "Kore.ai Conversational AI Development" addresses deployment at scale, robust monitoring and analytics-driven optimization, and the rigorous requirements of security, compliance, and governance. The book looks ahead to emerging trends: generative AI, large language model integration, multimodal and voice-first experiences, ethics in AI, and self-learning bots. Drawing on industry best practices and real-world use cases spanning finance, healthcare, and beyond, this authoritative resource positions readers at the forefront of innovation in conversational AI and digital transformation.
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