What Is Conversational AI: Examples, Benefits, Use Cases

Many companies are also looking to chatbots as a way to offer more accessible online experiences to people, particularly those who use assistive technology. Commonly used features of conversational AI are text-to-speech dictation and language translation. Elsewhere, companies are using conversational AI to streamline their HR processes, automating everything from onboarding to employee training. The healthcare industry has also adopted the use of chatbots in order to handle administrative tasks, giving human employees more time to actually handle the care of patients. Normandin attributes conversational AI’s recent meteoric rise in the public conversation to a number of recent “technological breakthroughs” on various fronts, beginning with deep learning.

In the end, humans have a certain way of talking that is immensely hard to teach a non-sentient computer. Emotions, tone and sarcasm all make it difficult for conversational AI to interpret intended user meaning and respond appropriately and accurately. Plus, the conversational AI space has come a long way in making its bots and assistants sound more natural and human-like, which can greatly improve a person’s interaction with it. One of the original digital assistants, Siri is able to process voice commands and reply with the appropriate verbal response or action.

The HubSpot Customer Platform

Conversational AI is constantly progressing toward initiating and leading customer interactions, with humans only supporting the conversation flow as needed. Conversational AI is one of the important AI terms that has been explained above with a simple question “What is conversational AI? Some may reference the illustrious Turing Test as the pinnacle of human-machine interaction, a standard that AI may aspire to in future years, potentially even transcending human intellectual capacity. This will help you understand what’s interesting about each AI chatbot and use it to your advantage. One way to reduce uncertainty and boost trust is to ensure people are in on the decisions AI systems make.

If you want to offer a greater level of personalization, you must integrate your bot to different databases. A good VA bot drives the conversation by intelligently leveraging AI and automation to suggest the next best course of action for users. Usually, chatbots are these basic software programs that answer people’s questions through a chat-based interface. Websites install them with predesigned questions & answers flow to navigate visitors to the desired action.

Conversational AI: Examples and Use cases

But financial services is more than just banking—what if the caller has questions about specific investments, retirement planning, or insurance? The AI could understand their question, identify the agent with the best skills to help with that topic, and forward the call to that agent. That way every agent gets to provide financial advice for the topic they know the most about, and customers get the best help possible. They can carry out commands and reply to queries, making them helpful tools for looking up information or performing basic tasks. The first is Machine Learning (ML), which is a branch of AI that uses a range of complex algorithms and statistical models to identify patterns from massive data sets, and consequently, make predictions. ML is critical to the success of any conversation AI engine, as it enables the system to continuously learn from the data it gathers and enhance its comprehension of and responses to human language.

• AI platforms can be configured in a way that means personal data is not recorded or stored anywhere, de-scoping them from privacy regulations.
• Omnichannel communications bridge the gap between consumers and the sales team.
• Strong AI, which is still a theoretical concept, focuses on a human-like consciousness that can solve various tasks and solve a broad range of problems.
• Apple’s Siri and Samsung’s Bixby are common examples, along with a handful of others.
• They were able to set up, translate and put the volunteer vetting and signup service into production extremely quickly.

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