Conversational AI: What it is and how it works
What is Conversational AI?
Conversational AI is the set of technologies behind automated messaging and speech-enabled applications that offer human-like interactions between computers and humans.
Conversational AI can communicate like a human by recognizing speech and text, understanding intent, deciphering different languages, and responding in a way that mimics human conversation.
Applied Conversational AI requires both science and art to create successful applications that incorporate context, personalization and relevance within human to computer interaction. Conversational design, a discipline dedicated to designing flows that sound natural, is a key part of developing Conversational AI applications.
Though chatbots have gained popularity (and a fare share of bad name), conversational AI solutions can be offered over both text and voice modalities and hence various channels and devices that offer support these modalities – from SMS and web chat for text modality to phone call and smart speakers for voice modality.
The best Conversational AI offers an end result that is indistinguishable from could have been delivered by a human. Think about the last time that you communicated with a business and you could have completed the same tasks, with the same if not less effort, than you could have if it was with a human. That’s Conversational AI at its highest quality.
Conversational AI Systems
- Social Chat
- It can contains small talks, greetings etc.
- Open domain conversations
- Interactive QA
- it’s like FAQ page of an application
- System contains lots of answers and questions
- We can measure of model success ratio
- Task Oriented
- Solves specific problems, and assist users
- Clear Dialogue based flows
- Well defined task contexts
Conversational AI vs. chatbots: What’s the difference?
Traditional chatbots can only perform restricted activities, such as understanding and responding to user input, using pre-written replies and rules-based algorithms. Chatbots are widely utilized for customer service and assistance, answering basic questions, and completing transactions. Websites, social media, mobile apps, and messaging services can all incorporate chatbots.
AI-powered chatbots and more sophisticated systems are included in the larger category of conversational AI. Chatbots need conversational AI to enhance their capacity to comprehend human language, provide more individualized two-way user interactions, and fulfill the expectations of modern clients
# **Main challenges with traditional chatbots**
Although conversational AI has the potential to transform the way we interact with technology, there are still several limitations that must be addressed. Let’s look at some of the main challenges in conversational AI.
# **How does conversational AI work?**
Conversational AI combines a variety of technologies to understand, react and learn from every encounter, including automatic speech recognition (ASR), natural language processing (NLP), advanced dialogue management (ADM), and machine learning (ML).
Conversational AI Use cases ?
- ITSM Automation.
- Customer Support Automation
- Customer Engagement Automation
- Conversational ecommerce automation
- HR Automation