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5 Types of Conversational AI: From IVR to GenAI Chatbots
Table of Contents
Cem Dilmegani
Conversational AI is any software that a person can talk to, weather it is indeed a chatbot, social messaging app, interactive agent, smart device, or digital worker. These solutions allow people to ask questions, find support, or complete tasks remotely.
Conversational AI vs. Generative AI: Core Differences
Sprinklr
Sprinklr combines the power of conversational AI adn generative AI. The two technologies offer distinct benefits and power in varied use cases. While generative AI brings creativity and scale, conversational AI offers ecosystem familiarity to users. With their dual power, benefits and applications multiply exponentially for businesses, teams, and end users.
Building conversational AI experiences with gen AI
Google Cloud
First, go to the Vertex AI Conversation console to build your data store/knowledge base. Then, you can start to create a transactional agent with multi-turn conversation and call external APIs using Dialogflow. Before diving into the steps, let’s look at the use case that led to creating a conversational AI experience…
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Interview: Building Conversational AI Experiences with Gen AI
Welcome to world-Today-News. Today, we have a distinguished guest, [Guest Name], an expert on AI and conversational technology. Let’s explore the evolution and benefits of conversational AI and generative AI in today’s digital landscape.
Editor:Hi [Guest Name]. Can you start by giving us an overview of what conversational AI entails? What types exist today?
[Guest Name]:Sure! Conversational AI is any software that allows users to interact with machines in a natural, human-like manner, whether through text or voice. There are five main types of conversational AI: IVR (Interactive Voice Response) systems, chatbots, virtual assistants, voice bots, and hybrid models that combine elements of each.
Editor:Fascinating. How does conversational AI differ from generative AI, and what are the core differences between these two technologies?
[Guest Name]:Generative AI focuses on creating new content, such as text, images, or video, by learning patterns from existing data.It generates responses based on probabilities and can bring creativity and scale to various applications. On the other hand, conversational AI is designed to simulate natural conversations, providing ecosystem familiarity and support to users. The dual power of both technologies exponentially expands the benefits and applications for businesses, teams, and end users.
Editor:That makes perfect sense. Can you give us a practical example of generative AI in conversational AI experiences?
[Guest name]:certainly! One great example is using generative AI to enhance customer support by leveraging a conversational AI platform like Dialogflow. Brands can create transactional agents that engage in multi-turn conversations and retrieve relevant customer data from their data stores or knowledge bases. This not only improves the user experience but also ensures that the information provided is accurate and up-to-date.
Editor:How can businesses get started with building these conversational AI experiences using generative AI tools?
[Guest Name]:To begin with, businesses should first visit the Vertex AI Conversation console to build their data store or knowledge base. From there, they can proceed to create a transactional agent capable of engaging in multi-turn conversations and calling external APIs. Dialogflow is an excellent tool that allows for the integration of generative AI capabilities with conversational agents, making the process seamless and efficient.
Editor:the benefits are clearly apparent. What are some key takeaways for businesses looking to integrate these technologies into their operations?
[Guest Name]:Firstly,combining generative AI with conversational AI can significantly enhance customer support and user experience.Generative AI provides the creativity and scalability to handle a wide range of queries, while conversational AI ensures a familiar and intuitive interaction experience.Secondly, leveraging external APIs allows businesses to retrieve and share relevant data in real-time, ensuring that the AI agent is always up-to-date and reliable. Lastly, businesses must continuously innovate and adapt their AI solutions to stay ahead in the rapidly evolving tech landscape.
Editor:Thank you, [Guest Name], for sharing your insights on conversational AI and generational AI. This has been incredibly informative for our readers.
[Guest Name]:You’re welcome! It was a pleasure discussing these advancements with you.
