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Conversational AI challenges and opportunities

Srikanth by Srikanth
August 17, 2021
in Artificial Intelligence
Reading Time: 5 mins read
Conversational AI challenges and opportunities
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Our community is changing progressively digital with each day, and conversations are becoming more technological than ever. AI is one such digital element that is being utilized to help people and computers communicate more effectively. The power to converse with robots seems exciting, doesn’t it? The accomplished voice controls like Siri of the Apple or Google Assistant of Android are an instance of the same. When we communicate with machines, we want the experience to be as natural as communicating with a human. This is where the innovation established as “Conversational AI” comes into play. This allows chatbots to converse with us in the same way that humans do. 

Conversational AI

Conversational AI is a combination of technologies that allow computers and humans to communicate more easily. You’re probably wondering how conversational AI can converse with people. This can be accomplished via comprehending language and writing, defining many languages, and responding in a human-like manner. 

In the ideal position, this technology produces results that are indistinguishable from those delivered by a human. Imagine yourself completing a task, talking to a chatbot? It takes a minimal effort than taken in speaking with a human, and that is Conversational AI at its best. 

The characteristics that make the Conversational AI

This technology is based on a combination of controls, with artificial intelligence, computer science, and linguistics utilized to elevate machines’ natural language competencies. The approaches and algorithms employed in conversational AI are described in the fields below:

  • Machine Language – AI determines the response based on the understanding formed by the search intent of the user.
  • NLP – A contextual dialogue engagement happens with natural language processing.
  • NLU – This is employed to decipher the meaning of the context to understand the user’s intent despite grammatical errors and shortcut typing usage. 
  • Conversational AI generates NLG – An easy to comprehend response with the help of natural language generation.

Opportunities with conversational AI

Conversational AI has changed the way businesses engage with consumers, and we’ll go through some of the advantages in depth below.

Cost-effective

  • Hiring a customer support department can be costly, especially if you need to handle inquiries outside of normal business hours. 
  • As a result, assisting clients through conversational interfaces can help small and medium-sized businesses save money on remuneration and planning.
  • Chatbots and virtual assistants can respond rapidly, offering potential access to customers, 24 hours, seven days a week..

Scalability 

  • Adding structure to enable conversational AI is inexpensive and faster than employing and training additional staff, therefore a scalable option.
  • This is especially beneficial when things expand into new topographical business areas or when unexpected transient increases are expected, like during a festive season.

Timely 

One of the most significant advantages of conversational AI is that users receive immediate responses. How rapidly, Alexa replies? That’s the same with a virtual assistant is talking to a consumer, it can respond faster than humans.

Excellent customer service

Chatbots are constantly hailed as the “superstars” of AI. Especially with customer service. These chatbots assist clients to swiftly and effectively resolve their issues. In short, outstanding their agent’s performance.

Agent efficiency

  • Conversational AI can sometimes take complete management of customer service issues, nullifying the need for human intervention. 
  • This could be the case for basic chores such as verifying a balance sheet or looking up a business store’s location. 
  • When AI takes charge, agents will get more time to dedicate to challenging cases that require their attention.

Challenges in conversational AI

Conversational AI faces difficulties that more advancing technology should be able to overcome. We’ll get a peek into some of the limitations in conversational AI here:

Privacy & Security

  • When customers require a voice assistant, the content that is transmitted must be securely processed and stored. 
  • Businesses must pay attention to voice help and chatbots, and the greater principles that enterprises establish for these mediums.
  • Communicating the same to their consumers creates the crucial foundation of trust.

Native language use

  • It’s difficult for a voice assistant to interact in a distinct language. All the conversational AI majorly takes place in English.
  • But only a limited percentage of the world’s population speaks English. 
  • As a result, the ability to converse in a native language seems to be the need of the hour in winning more people while effectively fostering faith. 

Adoption and discovery

While conversational AI technologies are becoming increasingly simple to use and standardized for everyone, there are enough challenges that can be addressed to increase the numbers who will use this innovation for a wider range of applications.

There are few more challenges, like the language input and simultaneous conversations with surroundings and its impact on the responsiveness of the conversational AI. 

Conversational AI, is surely impacting our lives. The capabilities of this technology have made our lives easier with subtle intelligence. Just like how we all have incorporated Alexa, Siri, Google Assistant. It is 2021, and we’ve witnessed a tremendous increase in the usage of chatbots across various sectors. There’s a firm belief that in the future, we’ll see even more success with conversational AI.

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