Conversational AI

Conversational AI The Future of Automated Communication

Conversational AI aims to replicate human conversations using automated messaging and speech-enabled applications that are closer to real human interactions. The Conversational AI can easily be confused with chatbots due to the automation similarities. However, the former technology is multidimensional, as it deals with both text and voice modalities through varying channels.

The most optimized and fully versed Conversational AI systems are capable of making human-like interactions to a point where conversations between AI and actual human conversations become indistinguishable.

Involved Technologies

Automated Speech Recognition (ASR)

ASR plays a significant role in Conversational AI. ASR is the technology that enables voice commands to carry out certain tasks or initiate conversations. The ASR process often includes the recognition and interpretation of the user’s speech using ASR engine and converting it to text

Natural Language Generation (NLG)

Natural language generation or NLG is an area of artificial intelligence that focuses on the ability to generate well-formed text based on predetermined parameters. It is used primarily in designing conversational interfaces for chatbots and to power email responses

Natural Language Understanding (NLU)

Natural Language Understanding leverages artificial intelligence that is focused on analyzing the content of a text or speech input in order to extract its meaning. In simpler terms, Natural Language Understanding can be described as a machine’s understanding and interpretation of human languages.

Natural Language Processing (NLP)

Natural Language Processing (NLP) is a subset of artificial intelligence (AI) and it is fundamentally important in the field of conversational AI. It deals with understanding and parsing natural language, or human languages like English, French and Arabic.

Involved Technologies

Customer Service

Voice and chatbots answering customer queries and requests and assisting with purchases and more


Automatically generating personalized email based on user behavior, ability to engage consumers which improves conversion rates

Travel & Hospitality

Booking trips and calculating costs based on the passenger's selection

Personal Assistant

Programming a voice assistant or chatbot to take care of personal tasks such as scheduling appointments, purchasing things online, asking for directions.


Managing medical records, diagnosing patients

Why Telecoms are early adopters of Conversational AI?

Mobile Operators and specifically marketing and CVM teams within them were the early adopters to onboard conversational AI in their daily operations. The main drivers were high conversion rates and immediate uplift in revenue.