Difference Between Chatbot & Virtual Assistant
You probably don't know the difference between chatbots and virtual assistants. However, understanding the difference can help your business.
In the rapidly changing world of the 21st century, AI is playing an increasingly important role in almost all sectors. As artificial intelligence grows exponentially, enterprises worldwide are trying hard to find prospective areas to get the most of AI.
Organizations are now using conversational interfaces, such as chatbots and virtual assistants, to help increase corporate efficiency and reinvent their operations by automating their business processes. This is all in a bid to make communication easier. Chatbots and virtual assistants that use AI to communicate with humans are becoming more common, and the terms are often used interchangeably.
According to Oren Etzioni, an American computer science researcher, "AI is a tool. The choice about how it gets deployed is ours."
Humans have utilized AI for more effortless and seamless communication. Thanks to this new user interface, the way people interact with the software are changing. Both Chatbots and Virtual Assistants are AI-powered computer programs that interact with humans. People now interact with one or both of these technologies daily, and most users believe they are the same.
Chatbots and virtual assistants are two different types of computer programs. Chatbots are often used as data collection interfaces, while virtual assistants can help with things like keeping track of to-do lists and taking notes.
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Chatbot Vs. Virtual Assistant
What is a Chatbot?
A chatbot is a computer software that imitates human conversation. Chatbots are a type of software that are commonly used as an information acquisition interface. Chatbots are artificial intelligence-powered conversational agents that use natural language processing to interact with users.
Chatbots are computer programs that act as a virtual assistant or agent, communicating with businesses and brands via messaging apps. They are commonly used for product marketing, brand engagement, product assistance, sales, and support discussions.
Users communicate with a chatbot in the same way they would with a human, through the chat interface or voice. Chatbots interpret and process the user's words or phrases and respond with a pre-programmed response. This product is beneficial to clients because it is an automated program that interacts with customers like humans and is low-cost or free to use.
Learn more: How to make a chatbot?
What is a Virtual Assistant?
Virtual assistants are software programs that carry out tasks that would typically be carried out by a personal assistant, such as organizing schedules, addressing travel needs, making appointments, sending event reminders, and so on. Virtual Assistants are designed with the end-user in mind and are built to accept input and carry out tasks using voice commands.
Virtual assistants interpret human speech with the help of artificial neural networks. This allows them to predict the user's intent, even if the user's query is random. Virtual assistants are powered by AI, which means they can learn the user's preferences and behaviors over time. As a result, virtual assistants become wiser over time.
They are intelligent devices or software that can communicate with other devices or software by understanding natural language, recognizing faces, and identifying things. They are commonly found in handheld devices, such as phones, and can be used to control the device and perform simple activities, such as sending emails and creating to-do lists. These activities can be completed simply by giving the Virtual Assistant the proper vocal order.
Below is a detailed explanation about chatbot vs. virtual assistant
Chatbots are usually text-based, but they can now include audio and visual elements for exchange. They are configured to respond to a limited set of questions or statements and will fail if the question asked is not one of the customer's taught responses. They provide a conversation that is more akin to an FAQ. Chatbots are unable to process languages in particular and are unable to maintain long-term human interaction.
The interactive platform used by virtual assistants is more advanced. They can decipher the user's language and the meaning of what they are saying. They can learn from their mistakes and maintain an element of surprise in their actions. They'll be able to have a longer human interaction this way. They can also be programmed to accomplish slightly more complex jobs.
2. Ability to keep the conversation flowing:
When talking with chatbots, the conversation usually ends as soon as the chatbot has resolved the user's queries. On the other hand, virtual assistants use more sophisticated conversation flow techniques to try and understand human intent, enhancing human-to-human communication. Chatbots also generally do not understand human emotions. They can usually respond to questions accurately, but they don't comprehend our moods and feelings and so cannot respond appropriately.
On the other hand, virtual assistants that use advanced natural language processing can evaluate natural language complexities. As a result, virtual assistants that can gauge human moods and communicate with users far more human-like are being built with the help of AI emotional intelligence. Even after disrupting the flow, virtual assistants can have a long chat. Virtual Assistants can help with strenuous activities such as locating directions and arranging meal reservations.
Customers can communicate with chatbots using a conversational user interface (CUI), a chat-like interface. Chatbots are created using models that give a framework for generating responses. Different models are chosen to develop chatbots depending on the purpose for which they are utilized.
The chatbots are then taught to respond consistently. Virtual assistants feature a chat-like interface, but they can also work without one activated with voice instructions. Artificial neural networks (ANNs) enable virtual assistants to learn from previous inputs continuously. ANNs are used to recognize, categorize, forecast, and analyze the user's information to obtain accurate results for the user's queries.
4. Natural Processing Language:
Chatbots aren't built to respond to linguistic changes. It doesn't have a lot of language processing capabilities. It picks out specific words from the user and responds with a pre-programmed response. On the other hand, Chatbots have a structured dialogue and are explicitly programmed to react to certain answers to specific queries. However, they cannot respond to complex questions that have not been put into them. It cannot understand the customer and fails to answer correctly.
Natural language processing (NLP) and Natural Language Understanding (NLU) is the critical area of focus for virtual assistants (NLU). Virtual assistants can now grasp slang used in everyday natural interactions and analyze moods using languages, enhancing an even greater set of communication skills. Virtual assistants are more conversational than chatbots, thanks to NLP. Hard-coding, wildcard word matching, and time-consuming keyword training allow virtual assistants to conduct conversations, have sophisticated NLP capabilities, and carry out a limited number of interactions.
Chatbots can be found on websites, customer service portals, and messaging apps like WhatsApp and Facebook Messenger. Chatbots can also resolve consumer complaints via mobile applications and in-app chat widgets. Virtual assistants are pre-installed on the devices they ship with.
Virtual assistants have been embedded into Google Home and Amazon's Echo devices. Voice commands are the primary mode of operation for these devices. On the other hand, mobile phones and laptops usually come with an application that allows users to engage with the virtual assistant (in addition to voice commands).
A chatbot is limited, and it is not ideal for complex procedures. It is an excellent tool for gathering information from clients. While most Chatbots cannot learn independently, advances in artificial intelligence allow Chatbots to learn from their interactions.
Virtual Assistants have a broad range of applications and can perform strenuous activities such as engaging with people independently. Unlike Chatbots, Virtual Assistants improve their accuracy with time.
Chatbots have restricted use, and lack advanced customer service and automated transactions algorithms. It follows simple rules and is incapable of doing complex tasks. The majority of customer support contacts or requests are now automated.
Virtual Assistants have a broader scope and may assist with various tasks, such as comparing products or determining the best outcome based on the characteristics provided. It's used for things like decision-making and e-commerce. It can do things like telling jokes, playing music, providing stock market information, and even operating the various devices in the room. Unlike chatbots, virtual assistants improve over time.
Features of Chatbot
1. Design your chatbot: Personalize your chat agent by customizing the design, style, colors, graphics, uploading photos, adding a logo, and more.
2. Convert visitors to leads: Your Virtual Agent can build interest in your products or services and collect the visitor's email or phone number so you can clinch the sale. This is referred to as a "lead." Because they were interested in what your website had to offer and submitted their phone number or email address to reach you, each new lead is a hot potential for a sale.
3. Answers, FAQs, Tips, and Advice: You may teach your agent various responses to a variety of queries. Your visitors expect answers to be available online, and they welcome your advice and recommendations when it is relevant to them. In most circumstances, you'll want to provide responses that help visitors convert into leads, purchases, or conversions, as well as answers to questions about pricing, shipping, company information, and deals.
4. Chat in real-time: When you're online, you can either monitor and intervene in Live Chat as needed or switch off the automated agent entirely and manage all visits through Live Chat.
Benefits of Chatbots and Virtual Assistants
Businesses use Chatbots extensively to optimize internal business processes, boost productivity, raise revenue, and improve customer experience. Website chatbots increase engagement by giving quick and personalized responses.
Customers who would otherwise have to wait longer to respond via traditional telephone channels benefit significantly from this. Because of their ease of use, chatbots have a very high adoption rate. Chatbot adoption opens up a floodgate of possibilities for businesses to better their client interaction process and operational efficiency, lowering customer service costs.
On the other hand, Virtual Assistants make organizing and carrying out our daily chores easier. Virtual Assistants come in helpful in supporting our tasks, whether it's setting reminders and alarms, adding commissions to the calendar, making calls, or retrieving information from the internet. Virtual assistants can now control home intelligent gadgets such as lighting, thermostats, and music devices. Although Individuals mostly use virtual Assistants for personal purposes, they are quickly gaining traction in the commercial world.
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Chatbots have had much success in the finance, banking, legal, and healthcare industries. They form bonds with their employees by supporting them with routine and monotonous activities. On the other hand, Chatbots lag behind virtual assistants in context, intellect, and intelligence. Depending on what they are needed for, chatbots and virtual assistants each serve their particular purposes.
Chatbots and Virtual Assistants are fundamentally different in design, and they cannot perform the same activities. So, knowing their differences can only be a good thing for users. Now that you know, it will become easier to decide what artificial intelligence route your business or website is willing to take. Both chatbots and virtual assistants have a wide range of features that can help enterprises to revolutionize. The most important thing is to figure out which parts of your organization might benefit from both of these AI applications.