Cyber sex online chatbots

Chatbots can be classified into usage categories such as conversational commerce (e-commerce via chat), analytics, communication, customer support, design, developer tools, education, entertainment, finance, food, games, health, HR, marketing, news, personal, productivity, shopping, social, sports, travel and utilities.

which proposed what is now called the Turing test as a criterion of intelligence.

Other large companies such as Lloyds Banking Group, Royal Bank of Scotland, Renault and Citroën are now using automated online assistants instead of call centres with humans to provide a first point of contact.

A Saa S chatbot business ecosystem has been steadily growing since the F8 Conference when Zuckerberg unveiled that Messenger would allow chatbots into the app.

The process of building a chatbot can be divided into two main tasks: understanding the user's intent and producing the correct answer.

The first task involves understanding the user input.

That is, IF your question is not disguised in an attempt to gain information that you should not have!

Overstock, for one, has reportedly launched a chatbot named Mila to automate certain simple yet time-consuming processes when requesting for a sick leave.

SAP partnered with Kore Inc, a US-based chatbot platform vendor, to build enterprise-oriented chatterbots for certain SAP products like SAP Hana Cloud Platform, SAP Cloud for Customer (C4C), SAP Success Factors and Concur.

reserved for curios" to that marked "genuinely useful computational methods". Many banks and insurers, media and e-commerce companies, airlines and hotel chains, retailers, health care providers, government entities and restaurant chains have used chatbots to answer simple questions, increase customer engagement, The newer generation of chatbots includes IBM Watson-powered "Rocky", introduced in February 2017 by the New York City-based e-commerce company Rare Carat to provide information to prospective diamond buyers.

The classic historic early chatbots are ELIZA (1966) and PARRY (1972). Other companies explore ways they can use chatbots internally, for example for Customer Support, Human Resources, or even in Internet-of-Things (Io T) projects.

This criterion depends on the ability of a computer program to impersonate a human in a real-time written conversation with a human judge, sufficiently well that the judge is unable to distinguish reliably—on the basis of the conversational content alone—between the program and a real human.

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