Remove AI Chatbots Remove Conversational AI Remove Explainability
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Conversational AI use cases for enterprises

IBM Journey to AI blog

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. billion by 2030.

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AI for Everyone: Conversational AI Explained

Towards AI

This type of back-and-forth exchange is what we call conversational AI (or Natural Language Interaction NLI), enabling natural communication between people and AI. Conversational AI in Action Armed with NLP, we can interact with AI in more natural ways. Modern conversational AI can do much more.

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Generative AI vs. predictive AI: What’s the difference?

IBM Journey to AI blog

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. But generative AI is not predictive AI. Conversely, predictive AI estimates are more explainable because they’re grounded on numbers and statistics.

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5 types of chatbot and how to choose the right one for your business

IBM Journey to AI blog

In this blog, we’ll touch on different types of chatbots with various degrees of technological sophistication and discuss which makes the most sense for your business. As you’ll discover below, some chatbots are rudimentary, presenting simple menu options for users to click on.

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LLMs for Chatbots and Conversational AI: Building Engaging User Experiences

Chatbots Life

Large Language Models have emerged as the central component of modern chatbots and conversational AI in the fast-paced world of technology. Just imagine conversing with a machine that is as intelligent as a human. Unlike traditional chatbots, LLMs can comprehend and preserve the nuances and flow of dialogue.

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Six ways AI can influence the future of customer service

IBM Journey to AI blog

AI-driven personalization Organizations looking to increase customer satisfaction should look to meet those customers’ needs before an issue occurs. For example, an organization can use AI to send personalized emails to new customers explaining the benefits and uses of their new products based on the customer profile.

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Application of Generative AI Chatbot in Customer Service

Chatbots Life

At Master of Code, we specialize in helping businesses leverage Generative AI chatbots to create impactful and engaging experiences for their customers. Reduced Dependency on Human Agents Simple chatbots are typically programmed with a limited set of responses and can only handle basic inquiries.