Nov 20, 2024 | Read time 6 min

The ultimate AI cheat sheet: Demystifying Conversational AI, Voice AI, Generative AI, and more

Breaking down key AI terms to help you navigate the rapidly evolving world of speech technology.
What is conversational ai?
Mieke Smith
Mieke SmithSenior Writer

The pace of change within AI is astonishing – every week seems to bring a new breakthrough or announcement. It’s incredible to think that ChatGPT, which now dominates headlines, was only released widely in 2022.

Alongside these advancements, a growing list of terms is emerging, each aiming to define a specific part of the AI puzzle. 

At Speechmatics, we frequently encounter terms like Conversational AI, Speech AI, Voice AI, AI Agents, and Generative AI used interchangeably.

But what exactly sets these apart?  

Here, we’ll break down each concept, clarify their unique roles, and show how Flow is transforming the future of human-like interactions at the enterprise level. 

What Are AI Agents? 

An easy way to think about AI agents is like a computer programme that can be set a goal, and then go away and try and achieve that goal on its own, without you having to instruct it every step of the way.

It learns as it goes, and therefore in principle should be better and smarter over time. 

These are primarily used by businesses – an example might be a bot that routes customer emails to the best internal customer support agent based on the content of its email. If it doesn’t reach the right person and they forward it on to a different department, this feedback would be remembered by the bot for future emails. 

Though mostly used by businesses, they can also be used by individuals. 

Imagine a dinner party where you've tasked an assistant to handle RSVPs, book travel for your guests, and even arrange childcare for those with children that want to come along. All of this could potentially be handled automatically without your input, and you RSVP bot could learn information for future dinner parties to make this even smoother for your guests. 

What Is Conversational AI? 

Now, let’s delve into the heart of human-machine interaction – Conversational AI.

This technology enables machines to understand and respond to human language in a way that feels natural and intuitive.

Conversational AI powers chatbots and virtual assistants, allowing them to engage in text-based exchanges that feel natural, interpreting user input to generate relevant responses.     In our dinner party scenario, Conversational AI is like a helpful host who can keep track of requests through written notes. For example, if you type, “I’d like to have a vegan meal with a Korean twist” it could suggest recipes that work with your party’s theme and request, acting very much like a friend who understands exactly what you’re looking for based solely on your text cues.  

How does Generative AI work? 

Next, we have Generative AI – the creative force of artificial intelligence.

Generative AI isn’t just regurgitating existing information; it’s creating new content based on learned patterns.  

Most people will have now used this type of AI via ChatGPT, or to create new images and videos based on prompts. This technology is interesting because it doesn’t just optimise something existing, it creates new information and content. 

Say you wanted to serve a wow-factor cocktail at this dinner party you’re having. Generative AI could create a unique margarita based on the theme, rather than relying solely on existing, traditional recipes. It’s like having a mixologist who understands the assignment and vibe and comes up with something distinct for the moment. Generative AI could even come up with a new name for this cocktail.  

What is Voice AI and how does it fit in? 

On top of all this, you can add voice capabilities with Voice AI, which enables voice-based interactions, enhancing accessibility and user experience.

Voice AI can be combined with other AI technologies, allowing it to work seamlessly in everything from smart homes to Internet of Things (IoT) applications. 

Revisiting the dinner party setting, imagine preferring to speak commands rather than type them. With Voice AI, your digital assistant “hears” and processes your spoken commands, making it an intuitive, hands-free interaction. You might say, “Please preheat the oven to 180 degrees Celsius,” and your assistant responds without missing a beat, even asking clarifying questions if needed. This integration makes interactions with technology feel even more human. 

At Speechmatics, we believe combining voice interactions with other forms of AI will eventually lead to speech joining the mouse, keyboard and touchscreen as a primary way to use technology.

Not only literally ‘hands-free’, this makes technology more accessible and intuitive to use. 

A quick summary...

Term

Examples

Use Cases & Functionality

AI Agents

Autonomous customer service agents, task managers, smart scheduling assistants.

Often powered by a combination of NLP, machine learning, and sometimes robotics or software automation. 

Conversational AI

Chatbots, virtual assistants, customer service bots. 

Customer service, troubleshooting, personal assistants, and any scenario requiring meaningful conversation. 

Generative AI

ChatGPT, DALL-E, Midjourney, and other tools generating articles, images, videos, or code. 

Content creation, creative writing, coding, graphic design, marketing, and personalization. 

Voice & Speech AI

Voice-activated assistants (like Alexa, Siri), smart home controls (e.g., controlling devices with voice commands), and in-car voice systems. 

Hands-free commands, accessibility, voice search, and personal assistance.

How do these technologies work together? 

In many modern applications, these AI technologies intersect to create seamless user experiences. For example, a virtual assistant might use: 

  • AI Agents to perform tasks autonomously 

  • Generative AI to create new content based on prompts 

  • Conversational AI to interact it natural language and generate easy to understand responses 

  • Voice & Speech AI to allow you to use your voice in conjunction with all of the above 

It's like assembling a dream team where each player brings a unique skill to achieve a common goal - making technology interact with us in ways that feel genuinely human.

 

Your dinner party assistant, equipped with all these AI technologies, becomes a versatile helper. You can speak to it naturally, and it understands your requests, asks clarifying questions, performs tasks autonomously, and even adds creative touches to its work. It's like having a personal chef who not only follows recipes but also understands your preferences and adds artistic flair to your meals.

What is the difference between Conversational AI, Voice AI and Speech AI? 

When thinking about the many terms in the Voice AI world, it can helpful to keep their differences in mind. 

  • AI Agents: Autonomous entities that perform tasks and make decisions with little human input 

  • Generative AI: Creates new content based on learned data patterns, adding creativity to AI capabilities 

  • Conversational AI: Enables natural, human-like text interactions through understanding and generating language 

  • Voice & Speech AI: Allows for spoken interactions between machine and human, using a combination of speech-to-text and text-to-speech 

  How is Flow by Speechmatics shaping the future? 

At Speechmatics, we’ve spent over a decade advancing speech recognition technology.

With Flow, we’re taking a leap forward in Conversational AI, offering businesses the tools to build seamless, voice-enabled interactions.

Flow is designed not only for speed and accuracy but also for creating inclusive, responsive experiences. Whether you're in a buzzy café or a busy office, Flow can manage overlapping voices and background noise with ease, making interactions feel as smooth as chatting with a friend or colleague.

Ready to Experience Voice AI? 

If this is your first foray into Voice AI, there’s no better way to explore it than with Flow. You can experience Flow directly on our website – no sign-up required – and see how sentiment-aware AI can improve interactions, whether you’re using our iOS app on the go or building context-driven solutions with our API.

Build seamless speech interactions with AI Voice agents

Deploy AI voice agents at scale and deliver incredible voice-powered customer experiences, underpinned by the most powerful speech technology.

Latest Articles

Carousel slide image
Use Cases

What Word Error Rate Is Acceptable for Legal Transcription?

Word error rate for legal transcription has no single acceptable threshold. But knowing how accuracy, audio quality, and review obligations connect to real legal risk is what separates a reliable transcript from a costly one.

Mieke Smith
Mieke SmithSenior Writer
Carousel slide image
Use Cases

The court reporter shortage crisis: data, causes, and what legal teams are doing about it

The court reporter shortage is reshaping litigation. Explore data, causes, and how legal teams are using digital reporting and AI transcription to adapt.

Tom Young
Tom YoungDigital Specialist
[alt: Bilingual medical model featuring terms related to various health conditions and medications in Arabic and English. Key terms include "Chronic kidney disease," "Heart attack," "Diabetes," and "Insulin," among others, displayed in an organized layout.]
Product

Speechmatics achieves a world first in bilingual Voice AI with new Arabic–English model

Sets a new accuracy bar for real-world code-switching: 35% fewer errors than the closest competitor.

Speechmatics
SpeechmaticsEditorial Team
[alt: Illuminated ancient mud-brick structures stand against a dusk sky, showcasing architectural details and textures. Palm trees are in the foreground, adding to the setting's ambiance. Visually captures a historic site in twilight.]
Product

Your voice agent speaks perfect Arabic. That's the problem.

Most voice AI models are trained on formal Arabic, but real conversations across the Middle East mix dialects and English in ways those systems aren’t built to handle.

Yahia Abaza
Yahia AbazaSenior Product Manger
new blog image header
Technical

How Nvidia Dominates the HuggingFace Leaderboards in This Key Metric

A technical deep-dive into Token Duration Transducers (TDT) — the frame-skipping architecture behind Nvidia's Parakeet models. Covers inference mechanics, training with forward-backward algorithm, and how TDT achieves up to 2.82x faster decoding than standard RNN-T.

Oliver Parish
Oliver Parish Machine Learning Engineer
[alt: Healthcare professionals in scrubs and lab coats walk briskly down a hospital corridor. A nurse uses a tablet while others carry patient charts and attend to a gurney. The setting conveys a busy, clinical environment focused on patient care.]
Use Cases

Why AI-native EHR platforms will treat speech as core infrastructure in 2026

As clinical workflows become automated and AI-driven, real-time speech is shifting from a transcription feature to the foundational intelligence layer inside modern EHR systems.

Vamsi Edara
Vamsi EdaraFounder and CEO, Edvak EHR