Explore the distinction between Conversational AI and chatbots their roles, capabilities, and how each enhances user engagement and efficiency.
Chatbots are computer programs made to engage in conversations with humans, aiming for natural interactions and automating simple tasks, such as responding to FAQs. Some operate on predefined scripts and rules, while others utilize artificial intelligence to comprehend human language and provide real-time responses.
Conversational AI, on the other hand, is a broader range of AI-powered technology, including AI chatbots and virtual assistants. By combining data, machine learning, and natural language processing, conversational AI gets into nuances and context, facilitating more human-like interactions.
Both chatbots and conversational AI are witnessing significant growth in today’s business landscape, serving as effective tools for enhancing customer experiences.
According to Grand View Research, the global chatbot market surpassed $5 billion in 2022, with a projected annual growth rate (CAGR) of 23.3% from 2023 to 2030.
As chatbots evolve rapidly, conversational AI continues to push the boundaries, enabling more intelligent, efficient, and personalized interactions between users and machines.
In this article:
- Conversational AI vs Chatbot
- Applications of AI chatbot
- How to create a conversational chatbot
Conversational AI vs Chatbot
Conversational AI is like a smart friend who learns from talking to people. It uses fancy tools like machine learning and natural language understanding to chat with you. It gets better over time by learning from lots of conversations. So, even if you ask something new or strange, it can still give you a good answer.
On the other hand, A chatbot is like a helpful assistant that uses pre-set rules or sometimes artificial intelligence to chat with people. It’s simpler than conversational AI, usually following a script or set of instructions to respond to questions or prompts from users. While it might not be as flexible as conversational AI, it’s still handy for handling common queries or tasks in a conversation.
| Aspect | Chatbot | Conversational AI |
| Technology | Primarily relies on predefined rules/scripts | Utilizes machine learning & NLP extensively |
| Flexibility | Limited flexibility, follows set instructions | Highly flexible, adapts to various contexts |
| Learning | Limited learning capabilities | Continuously learns from interactions |
| Response Generation | Response generation based on predefined data | Generates responses based on learned patterns |
| Complexity | Simple and straightforward | Sophisticated and dynamic |
| Personalization | Limited personalization capabilities | Offers personalized interactions |
Applications of Converational AI chatbot
There are so many potential applications of AI-based chatbots. Beyond customer service applications, these tools are so versatile that they can help teams perform tasks across multiple industries, such as:
- Helping patients get the first hand diagnostic suggestions
- Helping consumers buy a better product and build their trust
- Helping psycological patients with psycological advices
The chatbot is trained on the data on clients website so it answers queries and uses it’s intelligence for the data that is available.
Helping patients get the first hand diagnostic suggestions:
The biggest problem some patients face is they don’t have time to visit the clinic. To help them beyonchats has build fertibot. Fertibot helps IVF patients get the first hand suggestions for the problem they are facing. Fertibot is already integrated on drmalpani.com and has helped answer 40,000+ patients with their query resolution.
Helping consumers buy a better product and build their trust:
When customer want to buy any product the biggest problem is that they are not able to build trust for their consumers. Praho AI (Build by Beyondchats) has tried to bridge that gap between the consumer and the company. Praho AI understands the user sentiments and analyses when does a user wants to buy. Based on the sentiment it recommends the user the products.
Helping psycological patients with psycological advices:
A very big problem in India is people don’t open about mental illness. This problem was faced by mindworksbuddy and they decided to partner with Beyondchats to build Buddy AI. Buddy AI tries to talk to people with mental illness and acts like their friend. People get a comfort zone and this gives the doctor also the idea about what the patient is going through.
How to create a conversational AI chatbot for Free?
Some business owners and developers think that conversational AI chatbots are costly and hard to develop. And it’s true that building a conversational artificial intelligence chatbot requires a significant investment of time and resources. You need a team of experienced developers with knowledge of chatbot frameworks and machine learning to train the AI engine. The development process of AI applications is also much longer.
But the investment is worth it. Let’s help you with how easy it is to build a conversational AI:
Step 1: Book a demo call with Beyondchats. This will be a short 15-minutes call where the team will try to understand your business
Step 2: Beyondchats team will create a chatbot for you which will follow the website theme. The chatbot will be trained on the entire data on your website. You just need to add the code and Yippeeeee the chatbot is ready to use.
Step 3: You can train the chatbot from the admin dashboard section of your website.
Chatbots vs. conversational AI: key takeaway
Chatbots typically specialize in automating specific tasks, while conversational AI encompasses a broader scope, aiming to mimic human conversations in a more sophisticated manner. Despite their differences, both use natural language processing (NLP) and find utility across various domains like customer support, lead generation, and ecommerce.
Are you ready to take your customer relations to next level? Explore beyondchats now!
