What is Conversational AI? A guide for 2023

Simply put…

Imagine talking to an imaginary friend who can answer all your questions and requests in real time, no matter where you are and at any time of the day. This "friend" is actually a conversational artificial intelligence or chatbot. It uses natural language processing technology to understand your language and intentions, then responds with appropriate answers. It's like having a virtual assistant who is always available to help you with whatever you need, whenever you need!

What is conversational AI?

Conversational AI (acronym for artificial intelligence) is a technology designed to simulate a human conversation. It uses algorithms to understand and interpret natural language and to respond appropriately to a variety of requests and questions posed by users.

Conversational AI is used in many fields, including customer service, sales and marketing, customer relationship management, healthcare, banking and financial services, education and training, and many others.

Chatbots can be programmed to answer simple or complex questions, provide information about products and services, help users complete specific tasks, or offer real-time support and assistance.

In short, conversational AI enables machines to communicate with users in a more natural and human way, providing a more engaging and personalized user experience.

What are the key components of conversational AI?

Speech recognition or text recognition

This technology transcribes the user's speech into text or understands the written text.

Natural Language Processing (NLP)

This technology understands the natural language used by the user, identifies intentions and responds appropriately.

Dialogue models

These models are pre-built conversation patterns that allow the AI to respond consistently and accurately to the user's requests.

Text generation

This technology allows the AI to create natural language responses that are consistent and relevant to the user's request.

Machine learning

This technology allows AI to improve by learning from user interactions and adjusting dialogue patterns and responses accordingly.

API and data integration

To provide accurate and personalized responses, conversational AI may need access to third-party data such as product information, service schedules, location data, etc. APIs (application programming interfaces) allow AI to communicate with these data sources to provide accurate responses.

By combining these different components, conversational AI can provide natural and fluid interactions with users, which can improve the user experience and provide business benefits for companies.

Give it a try!

Challenges of conversational AI

Although we would love artificial intelligence to be perfect, nothing is, is it!?

There are several issues related to conversational AI, including:

Data privacy and security

With conversational AI, users often share personal and confidential information with the system, such as their name, email address, etc. Therefore, it is important to ensure that this data is secure and not used for malicious purposes.

Bias and discrimination

Conversational AI systems can replicate biases and prejudices that exist in society. It is therefore important to ensure that these systems are developed in a fair and inclusive manner to avoid discrimination and promote diversity.

Quality and reliability

Users expect accurate and relevant responses from conversational AI systems. It is therefore important to ensure that these systems are reliable and able to provide accurate information.

Interpretation of intent

Conversational AI systems must be able to interpret user intent accurately to provide useful and relevant responses. This can be difficult because users may express their intentions in different ways.

Ethics

It is important to ensure that conversational AI systems are developed and used ethically to avoid abuse and harmful behavior.

In sum, the challenges of conversational AI are numerous and require constant attention to ensure that these systems are developed and used responsibly and ethically.

The top 7 benefits of conversational AI

*What is the point of using conversational AI? How can it benefit your work positively? What are the main advantages of conversational AI? *

1. 24/7 availability

Chatbots can respond to user requests at any time of the day, even outside of business hours.

2. Reduce costs

By automating user interactions, companies can reduce staffing costs and improve process efficiency.

3. Improved user experience

Chatbots can provide quick and personalized responses to user requests, improving the overall user experience.

4. Increase sales

Chatbots can help automate the sales process, helping customers find relevant products, recommend similar products, process payments, and offer discounts and promotions.

5. Real-time query processing

Chatbots can respond to user requests in real time, improving user satisfaction and reducing wait times.

6. Data collection

Chatbots can collect data on user requests and interactions, enabling companies to better understand customer needs and optimize their strategy.

7. Personalization

Chatbots can use the data collected to personalize interactions with users, providing responses and offers that are specific to their needs and preferences. This can improve the user experience and lead to additional sales.

Examples of conversational AI

*What is the point of using conversational AI? How can it benefit your work positively? What are the main advantages of conversational AI? *

Here are some detailed examples of conversational AI in different industries:

Customer service

Companies can use chatbots to answer customer questions, solve problems and provide information about products and services. For example, a chatbot on a cell phone service provider's website can help customers find information about plan offerings, resolve billing issues, track phone orders, etc.

E-commerce

E-commerce companies can use chatbots to help customers find products, make purchases, track orders and process returns. For example, a chatbot on an online clothing retailer's website can help customers find clothing based on their size, make purchases, and track their orders.

Banking and finance

Financial institutions can use chatbots to answer customer queries about account balances, transactions, interest rates, loans, etc. For example, a chatbot on a bank's website can help customers check their account balance, transfer money, make bill payments, etc.

Human Resources

Companies can use chatbots to automate the recruitment process, answer employee questions and manage leave requests. For example, a chatbot on a recruiting company's website can help applicants apply for jobs, schedule interviews and track their applications.

Education

Educational institutions can use chatbots to answer students' questions about class schedules, exams, curriculum, etc. For example, a chatbot on a university's website can help students find information about academic programs, application deadlines, scholarships, etc.

In each example, conversational AI is used to help customers, students, or employees find information quickly and solve problems, which can improve the user experience and reduce personnel costs.

Take the next step…

Conversational AI is becoming more and more widespread, and so as previously mentioned, there are many softwares that exploit this artificial intelligence. Not all software is useful or well designed, but we will show you a software that uses conversational AI to improve the performance of their clients.

Leexi is a platform that uses conversational AI to help their customers in their everyday interactions. The software is a conversational intelligence platform that increases by 2 the conversion rate, decreases by 2 the onboarding time and saves a lot of time in the daily work of the sales representatives with an automated note taking and a summary for each call and video conference.

As an AI-based language learning platform, Leexi provides users with personalized and effective language learning experiences through the use of advanced technologies such as natural language processing (NLP), machine learning (ML) and speech recognition.

Leexi offers a wide range of features and tools designed to help users in their everyday life, such as transcripts and automatic summaries of your calls and score cards.

Request a demo

Analysis

Leexi uses speech recognition technology to automatically transcribe users' verbal responses, meaning that in the call library that the platform offers, you can analyze your calls. The platform also identifies what can make your salespeople the best and can empower them to evaluate their own progress!

Automatic summary

*Have you ever thought how easy your life would be made if all your calls were summarized? Yes? No? No matter what you answer is, once you have read about the benefits of the automatic summaries Leexi provides, you will see what you have missed out on! *

Automatic summaries use advanced artificial intelligence algorithms to analyze long and complex texts in just a few seconds. This means that you can save a lot of time by getting the most important information from a text without having to read it all.

Leexi's automatic summarizes are very accurate and reliable. They use natural language processing techniques to understand the context and intent of the text, allowing it to produce summaries that accurately reflect the original content.

Finally, Leexi's automatic summary is customizable. There are two lengths of summaries you can choose from, a short one, and a longer one! This means you can get summaries that are exactly what you're looking for, whether it's for study, research, or just for quick information.

All in all, Leexi's Automatic Summary is great because of its speed, accuracy, and customization, making it a very useful tool for anyone looking to save time and get accurate information in a snap.