Conversational AI is one of the latest developments of Artificial Intelligence (AI). It uses AI capabilities to produce solutions that will offer human-like interactions between humans and machines. Conversational AI can recognize human speech and text. It is knowledgeable in several languages and converses in any language it recognizes. It can understand the intent of human speech and respond accordingly by making appropriate additions to the conversation. Conversational AI can converse very effectively with humans. The conversational design keeps the conversation between the machine and the human flowing. The best conversational AI platforms make it extremely difficult to distinguish between human speech and AI speech.

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Best Examples of Conversational AI 

• Siri

Siri is a Conversational AI that was developed to be a virtual assistant for Apple Inc. Siri is a part of iOS, watchOS, tvOS, macOS and iPadOS operating systems. It is an excellent and intelligent example of Conversational AI.

• Cortana

Cortana is a Conversational AI of Microsoft. It is a cloud-based personal assistant. Cortana can be used in Windows 10 operating system and Microsoft’s 365 suite of products from version 2004 and later.

• Alexa

Alexa is a cloud-based voice service of Amazon. It can be accessed through Amazon Echo and all Amazon apps. Alexa is widely known to control home systems by using voice commands. It can do several tasks simultaneously.

• Google Assistant

Google Assistant, as the name suggests, is developed by Google. It is used on mobile devices and smart home devices. Google Assistant can engage in two-way conversations very smoothly, making it an excellent example of Conversational AI.

How does Conversational AI operate?

The operation of Conversational AI is dependent on several factors. It uses some of the world’s best technologies to develop smooth communication. Some of these technologies are Natural Language Processing (NLP), Machine Learning (ML), Advanced Dialog management and Automatic Speech Recognition (ASR). By using these and many such technologies, Conversational AI learns to understand and react to every form of interaction with humans. The Conversational AI listens to humans by using ASR. It then comprehends the captured data by using Natural Language Understanding (NLU). Next, it forms a response with the help of Dialog management and delivers the created response through Natural Language Generation (NLG). All this information is learned and analyzed by ML for further reference.

Trending platforms that Power Conversational AI 

• Kore.ai

Kore.ai is a platform that enables its users to design, build, create, test and deploy virtual assistants using Conversational AI. This platform was designed to meet the needs of enterprises. Kore.ai provides detailed analytics to all its users.

• SAP Conversational AI

SAP Conversational AI is used by businesses to integrate chatbots into their businesses. It is powered by Natural Language Processing (NLP) technology. The analytics dashboard of SAP Conversational AI is very powerful. It is capable of supporting multiple languages.

• KAI

KAI is developed by Kasisto, especially for the finance and banking sectors. KAI has three main solutions viz. KAI Consumer Banking, KAI Business Banking and KAI Investment Management. KAI is a self-learning platform. It learns and gets better with each interaction.

• MindMeld

MindMeld is widely used for deveo text-based chatbots and voice interfaces. It is an open-source platform and is free for everyone’s use. But you need to have the technical knowledge to build a chatbot with MindMeld. MindMeld has the capability of natural language processing.

• Mindsay

Mindsay is used worldwide by several sectors to improve their customer support and increase their sales revenue. Mindsay has two key products to offer its users – Sales Chatbot and Customer Support Chatbot. Mindsay can support 110 different languages. 

Benefits of Conversational AI to B2B Teams

• Customer Service

By making use of Conversational AI, businesses get to offer round the clock customer service. It can be used to provide solutions to customer problems, resolve any issues the customers are facing, and answer the commonly asked questions by the customers. 

• Lead Generation and Conversion

Conversational AI can be used in a chatbot that interacts with customers to help them find the products and services they need. It can be used to direct the customers to the sales funnel by giving them recommendations. 

• Customer Research and Feedback

Conversational AI is very much capable of collecting customer data. It can act as a problem solver to the customers. It can interact with the customers and record and understand their concerns. It can then provide appropriate solutions that will increase the customers’ trust in the brand.

With the rapid pace at which AI is evolving, there will be further improvements in conversational AI. This would eventually translate into a better experience for end users and help businesses enjoy the benefits of improved customer engagement.  

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