Product details

By continuing to use our site you consent to the use of cookies as described in our privacy policy unless you have disabled them.
You can change your cookie settings at any time but parts of our site will not function correctly without them.

Abstract

The concept of chatbots had its origin in the 1960s and was aimed at emulating human interactions to enrich consumer experience. Chatbots had been categorised into utility chatbots and content-driven bots. The integration of technologies such as internet of things, natural language processing, machine learning and artificial intelligence added to the proficiency of chatbots. The conversation ability of chatbots utilised Natural Language Processing (NLP) and Artificial Intelligence (AI) for consumer communications. Chatbots became more efficient and capable with the utilisation of advanced AI technology and messaging apps. The 'unique voice and speech-pattern recognition' enabled people to request chatbots 'to run a report, provide a list of contacts, make a phone call, arrange services, schedule a meeting, or even call up an Uber'. This feature of speech recognition facilitated prompt use of multiple applications. Business organisations proactively saw immense opportunities in the rapid technological advancements of chatbots. Despite the rising popularity of chatbots, there were inherent risks involved in this new technology. There was a thin divide between technology supporting human life and overtaking it fully. Chatbots faced the challenge of correctly interpreting the human speech. In such a scenario, would chatbots be able to usher a revolution in the global businesses?
Location:
Industry:
Other setting(s):
2016

About

Abstract

The concept of chatbots had its origin in the 1960s and was aimed at emulating human interactions to enrich consumer experience. Chatbots had been categorised into utility chatbots and content-driven bots. The integration of technologies such as internet of things, natural language processing, machine learning and artificial intelligence added to the proficiency of chatbots. The conversation ability of chatbots utilised Natural Language Processing (NLP) and Artificial Intelligence (AI) for consumer communications. Chatbots became more efficient and capable with the utilisation of advanced AI technology and messaging apps. The 'unique voice and speech-pattern recognition' enabled people to request chatbots 'to run a report, provide a list of contacts, make a phone call, arrange services, schedule a meeting, or even call up an Uber'. This feature of speech recognition facilitated prompt use of multiple applications. Business organisations proactively saw immense opportunities in the rapid technological advancements of chatbots. Despite the rising popularity of chatbots, there were inherent risks involved in this new technology. There was a thin divide between technology supporting human life and overtaking it fully. Chatbots faced the challenge of correctly interpreting the human speech. In such a scenario, would chatbots be able to usher a revolution in the global businesses?

Settings

Location:
Industry:
Other setting(s):
2016

Related