Chatbots and conversational artificial intelligence: Is there any difference?

Author of this article：Miya, Search engine optimization expert

The dialogue interface can beImprove customer satisfaction, Enhance customer engagement. It can handle online customer service, real-time social sales, marketing automation-everything!

No wonder companies are so eager to adopt artificial intelligence chatbot solutions.

But——

There are too many buzzwords! Just takeChatbotandDialectical artificial intelligenceLet's talk about it. Is there any difference between them? Or are they the same thing?

Evaluating your choices is enough to make you dizzy, let alone really build something.

Don't worry. We will help you solve all problems.

1. Conversational artificial intelligence and chatbots

A chatbot is a kind of conversation with a customerSimulate similar human interactionThe software, andDialectical artificial intelligenceIt is a broader technology that enables computers to simulate conversations, including chatbots and virtual assistants. In essence, the key difference lies in the complexity of the operation.

• Chatbots run according to a pre-defined conversation flow, or use artificial intelligence to identify user intentions and provide appropriate answers.
• Conversational artificial intelligence uses machine learning, collects data for learning, and uses natural language processing (NLP) to recognize input and promote more personalized conversations.

A simple analogy

The difference between chatbots and conversational artificial intelligence is a bit like askingThe difference between pickup trucks and automotive engineering。 A pickup truck is a specific type of vehicle, while automotive engineering refers to the research and application of all types of vehicles.

Similarly, you can sayArtificial intelligence chatbotIs an example of the practical application of conversational artificial intelligence。

A table to help you figure it out quickly

category	Chatbot	Dialectical artificial intelligence
definition	A software that simulates human dialogue and interaction	Generally refers to a technology, solution, or specific engine that uses artificial intelligence to simulate dialogue
Do I have to use AI	Not necessarily	Yes
Functional complexity	Relatively simple, based on rules or basic identification	More advanced, with learning and contextual understanding skills
example	FAQ automatic reply robot	Mixdesk, Siri, voice assistant, etc.

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2. What is dialectical artificial intelligence?

Dialectical artificial intelligence is a wide-ranging term. As we mentioned earlier, the types of conversational artificial intelligence include：

• Chatbot
• Voice assistant
• The system used in the dialogue application

The core of these systems is composed ofNatural Language Processing (NLP) Driven by, NLP is the ability of computers to understand human language. NLP is a rapidly developing branch of artificial intelligence, and chatbots and voice assistants are its two most compelling applications.

3. Key advantages of Dialectical AI

Traditional chatbots just mechanically repeat pre-set replies, while artificial intelligence systems can actuallyUnderstand the context of the conversation, and respond in a more natural way.

The NLP capabilities of the AI engine enable them to：

• Better understand human emotions and intentions
• Have a more complex conversation
• Improve customer satisfaction

For example, conversational artificial intelligence technology can understand whether it is facing customers who are excited about the product or angry customers who are looking forward to an apology.

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A deeper understanding of customer needs

This solves the concern that robots cannot yet fully understand human input. In fact, about 47% of corporate executivesinImplement the robotHe expressed concern about this at the time.

AI can also passIntent analysisTo determine the purpose or goal of the message.

For example：

• “I am looking for a new laptop” →Potential purchase intention
• “I just bought a new laptop, but it can't be used" →After-sales support intent

4. The future potential of dialectical AI

These solutions are becoming more and more complex, which means that in the future artificial intelligence will be able toCompletely take over customer service conversations。

In the call center orCustomer Support DepartmentThe implementation of artificial intelligence technology will be of great benefit. This will allow business owners to free up time to deal with more complex issues, and let artificial intelligence handle customer and user interactions.

5. Examples of applications of dialectical AI

In order to better understand what dialectical artificial intelligence technology is, let's look at some examples.

There are hundreds of kinds on the marketApplication of dialectical artificial intelligence。 You may unknowingly use a lot in your daily life.

The following is an example of a dialogue-based artificial intelligence platform：Mixdesk

6. What is a chatbot?

A conversation chatbot is a computer program designed to simulate a conversation with a user. Robots are designed to interact with humans, answer their questions or perform certain tasks.

But are chatbots artificial intelligence?

Hmm-yes. But it also depends on which type you are referring to.

Chatbots are mainly divided into two categories：

1. Rules-based chatbots

• Also known asText-based or basic chatbot
• Follow a set of rules to respond to user input
• Use a simple decision tree to support customers
• Messages are usually fixed and circular

2. Chatbot based on artificial intelligence

• Use AI and NLU (Natural language understanding) Algorithm
• Can recognize the meaning of human discourse and natural language
• Can dynamically generate responses, more interactive

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Wide range of applications

From real estate chatbots to healthcare robots, these applications are being used in all walks of life.
The dialogue robot can provide product or service information, arrange appointments or make reservations.

Although virtual customer service cannot completely replace manual customer service, they can help enterprises in large-scale operations.keepGood overall customer experience。

In fact, to Year 2028, The global digital chatbot market size is expected to exceed 100 billion U.S. dollars。

7. How to create a conversation robot?

Some business owners and developers think，Conversational artificial intelligence chatbotDevelopment costs are high and difficult.

That's true-building a conversational artificial intelligence chatbot requires：

• An experienced team of developers
• Familiar with chatbot framework and machine learning
• Long development cycle

BUT——Don't be afraid, so can youNo coding experience required, throughOnline serviceEasily build a chatbot!

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8. Practical Guide: Use Mixdesk to build your AI agent

Step 1: Create your free account

Go to Mixdesk's registration page and create a free account.
We provide a variety of registration methods: email, Facebook, mobile phone number, etc.
Please follow the steps in the registration guide to set up yourWebsite chat widgetOr connect to social media accounts.

Step 2: Prepare the AI robot dialogue process

• Try to identify key areas where visitors need help
• No chat history or data? Use Mixdesk's ready-made chatbot template!

You can also use the Frequently Asked Questions crawler. It will collect question and answer pairs from your website, and thenAutomatically create chatbots。

Step 3: Train the AI robot

After you are ready for the dialogue process, you can train yourChatbotUnderstand human language.

• Add training data based on real customer queries
• Go to the ”Visitor Said" node
• Use preset intent or custom intent
• Copy and paste multiple expression variants requested by the customer

Step 4: Monitor and improve

After the AI virtual agent goes online, it needs to be regular：

• Check the robot to analyze the data
• View the types of issues that cannot be processed
• Adjust content, add new ideas to optimize

9. Chatbots and Conversational Artificial Intelligence: Key Points

Conversational artificial intelligence and chatbotsThe difference between them is sometimes very subtle.

Generally speaking：

• ChatbotFocus on automating specific tasks
• Dialectical artificial intelligenceIs a broader term that usually focuses on simulating human dialogue in a more advanced way

Both can use NLP and play a huge role in customer support, lead development, e-commerce and other fields.

You can use chatbot providers such as Mixdesk，Create robots driven by AI technology and NLP。
The platform can easily set up and train your chatbot, and even use itVisual process builderTo design complex dialogue scenes.

Are you ready to build your ownDialogue-based AI agentIs it?
May wish to try oursFree trial version！

(Want to know more? You can directly add the contact information of the business consultant to obtain an exclusive customer acquisition plan.)