The Convergence of Conversational & Generative AI

The Convergence of Conversational & Generative AI

How Conversational & Generative AI Work Together, What Sets Them Apart, and How They Converge

AI is transforming the world around us, with conversational and generative AI emerging as two distinct and significant sub-fields. VOICE & AI is the leading conference at the intersection of conversational and generative AI.

What is Conversational AI?

Conversational AI is a branch of artificial intelligence that allows machines to communicate with humans in a natural and human-like manner. It is used in chatbots, virtual assistants, and messaging apps to interact with users and improve customer experiences. The goal of conversational AI is to create seamless interactions that feel like genuine human conversations. To achieve this, conversational AI models are trained using techniques such as natural language processing, understanding, and generation, analyzing large amounts of human dialogue data to learn and generate appropriate responses. Examples of conversational AI applications include Siri, Alexa, and Google Assistant.

What is Generative AI?

Generative AI is a recently developed branch of AI that aims to enable machines to create original content by combining training datasets with user prompts. It can generate a wide range of outputs, including essays, poems, music, images, 3D models, websites, and software. Generative AI relies on advanced machine learning techniques such as generative adversarial networks (GANs) and transformer models like GPT-4 (Generative Pre-trained Transformer). These models are trained on extensive datasets of text, images, and videos, allowing them to generate highly creative and human-like content. OpenAI's ChatGPT is an example of a generative AI model that produces text so realistic that it can be difficult to distinguish from human-generated content.

Two Shades of AI

From the above, it's clear that the main differences between the two AI models are their ostensible goals (producing natural language responses vs. original content), the way they're trained, and their training data.

We could break down what each AI model is concerned with as follows:

Conversational AI:

  • Understanding user context
  • Recognizing user intent
  • Processing language
  • Managing dialogue within interactions
  • Knowledge integration

Generative AI:

  • Generating original content
  • Providing natural interactions
  • Solving problems creatively
  • Personalizing the user experience

But even then, their overlap pops out. And while these two takes on AI are not interchangeable, it's nonetheless entirely natural for them to "borrow" from each other - adding generative AI capabilities to conversational AI models and conversational AI capabilities to generative AI models. If you think about it, ChatGPT has already done this. It was built with conversational AI abilities.

And there's a slew of applications that can benefit from their convergence including enhanced customer service that leads to positive customer outcomes and company growth.

Learn more about different applications that can benefit from conversatinal & generative AI. Meet these leaders in conversational and generative AI and join us for their sessions at VOICE & AI.


Pre-Conf Workshop: Data Training Deep Dive: Unleashing the Power of Language Models

Explore the essential aspects of training data for machine learning models. Gain insights into the crucial steps involved in preparing data for machine learning tasks, including best practices for achieving accurate and reliable results. 

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Erick Kombo

OpenAI


AI Agents and Voice: Advancing Customer Service to 5 Stars

Customer Service has entered the era of AI-based automation – and voice is at the core with the AI Agent. Learn how generative AI combined with conversational AI are enabling new solutions that will transform the customer experience.

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Hardy Myers

Cognigy


Panel: Using Large Language Models and Generative AI to Drive Business Outcomes

Wondering how to incorporate GPTs, Large Language Models (LLMs), and how artificial intelligence into your business? This session will examine meaningful ways to use generative AI in your business to transform your company.

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Chris Morgan Brown

Amazon Web Services (AWS)








Arpita Bhowmick

Moderna








John Kneafsey

ADP


Read more on our blog about the leaders who are shaping the conversational and generative AI landscape, and then get your ticket to VOICE & AI for the chance to gather knowledge and network with leading professionals and companies at the convergence of conversational and generative AI. Register today and get Early Bird ticket pricing - ends July 31. 

Get your ticket today to join industry experts, brand leaders, innovators, and thinkers September 5-7 in Washington, DC as we bring the conversational and generative communities together to explore custom assistants, digital humans, ChatGPT apps, open source platforms, and more.

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