20/05/2024

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Conversational AI 101: What is it and how can you use it?

2 min read

6 Super Conversational AI Use Cases: Making Life Easier One Word at a Time

example of conversational ai

“A giant source of frustration for consumers is repeating information they’ve already shared, like re-confirming a phone number or having to re-explain a problem to multiple agents. According to Radanovic, conversational AI can be an effective way of eliminating pain points in the customer journey. Twenty-six percent of those polled said bots are better at providing unbiased information and 34% said they were better at maintaining work schedules. Not only that, but 65% of employees said they are optimistic, excited and grateful about having AI bot “co-workers” and nearly 25% indicated they have a gratifying relationship with AI at their workplace. Computer vision is the ability of a computer to interpret and understand digital images.

Several types of chatbots follow a rule-driven, or natural language processing system to help customers. A traditional chatbot is typically a rule-based software designed to automate recurring objections to answering frequently asked questions. Since they only serve a specific purpose, they are designed to follow a workflow designed by organisations and are relatively easy to build.

See Conversational AI in Action

By harnessing the power of conversational AI, businesses can streamline their lead-generation efforts and ensure a more efficient and effective sales process. Conversational AI refers to the cutting-edge field that involves creating computer systems with the ability to engage in human-like and interactive conversations. It harmoniously blends innovations in the field of natural language processing, machine learning, and dialogue management to achieve highly intelligent bots for text and voice channels. By doing so, conversational AI enables computers to understand and respond to user inputs in a way that feels like they are in a conversation with another human. Conversational AI models have upgraded the abilities of virtual assistants, enabling them to perform a wider range of tasks and offer more-personalized recommendations.

example of conversational ai

Additionally, conversational AI can capture and preserve institutional knowledge, ensuring that critical expertise is available even when experienced employees are not present, further mitigating skills shortages. Conversational AI platforms enable businesses to engage customers in interactive conversations, fostering a sense of personal connection. By delivering personalized recommendations, relevant content, and proactive assistance, businesses can enhance customer engagement and build stronger relationships. The OpenDialog platform is an example of an enterprise conversational AI, fit for use within regulated industries such as healthcare and insurance.

Natural language understanding

With each interaction, businesses get a treasure trove of data full of variations in intent and utterances which are used to train the AI further. Over time, the user gets quicker and more accurate responses, improving the experience while interacting with the machine. Now that the AI has understood the user’s question, it will match the query with a relevant answer. With the help of natural language generation (NLG), it will respond to the user. Every day, customers are giving businesses many opportunities to interact with them.

Read more about https://www.metadialog.com/ here.

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