How can Artificial Intelligence chatbot change your Business?
Messengers become new browsers and bots become new web pages.
Indeed messengers already have billions of active users. Only WhatsApp has more than 1 billion active users, meanwhile Facebook Messenger — 800million users, WeChat — 650 million users, Skype — 400 million users, furthermore highly increased usage of Telegram and Slack over last few years.
Skype, Facebook, Slack, Telegram already have open API for chatbot developers, which can create, manage and make smart bot more effective in order to fit human needs. Microsoft just migrated to their new Azure Bot Framework where developers are able to have all tools in-house (from data storage to prebuild Machine Learning models).
Lets have a quick overview to chatbot history:
American scientist Joseph Weizenbaum created first bot ELIZA in 1966. Mimicked human conversation by matching user prompts to scripted responses — it was able at least for a time to pass the Turing artificial intelligence test.
1972 PARRY inexplicably simulated a person with paranoid schizophrenia. PARRY was more serious and advanced as “ELIZA with attitude.”
1988 JABBERWACKY is one of the earliest attempts at creating an AI through human interaction. Mainly a form of entertainment. It had the ultimate goal of moving from a text-based system to one wholly voice-operated.
1992 DR. SBAITSO an artificial intelligence synthesis program created for MS-DOS-based PCs. Designed to showcase a digitized voice, the Doc was far from lifelike — despite assuming the role of a psychologist when interacting with users.
1995 A.L.I.C.E. Artificial Internet Computer Entity, ALICE was a natural language processing chatbot. She could apply heuristic pattern matching rules to human input — in other words, have a conversation.
2001 SMARTERCHILD is an intelligent bot widely distributed across SMS networks. With features such as quick data access and fun personalized conversation. It was considered a precursor to Apple’s Siri and Samsung’s S Voice.
2010 SIRI is an intelligent (and cheeky) personal assistant, part of Apple’s iOS which features a natural language UI to answer questions and perform Web service requests. Siri would pave the way for all later artificial intelligence bots and PAs.
2012 Google Now was developed by Google for the Google Search mobile app. It employs a natural language user interface, that helps people to answer questions, make recommendations and perform actions by delegating requests to a set of Google services.
2015 ALEXA is open API voice service inhabiting the Amazon Echo device, Alexa’s capable of voice interaction — she uses natural language processing algorithms to receive, recognize and respond to voice commands.
2015 CORTANA is an intelligent personal assistant crafted by Microsoft and included into all Windows 10 platform by default. Cortana recognizes natural voice commands and answers questions using Bing search engine.
2016 April BOTS FOR MESSENGER, in April Facebook launched a Messenger platform, which allows developers to create chatbots that can interact with FB users. As of June already 11 000 bots where available.
2017 TAY is a bot designed to mimic the speech and habits of a teenage American girl. Microsoft’s chatbot Tay rapidly developed a vicious paranoia that made HAL 9000 look positively mellow. She was shut down after a mere 16 hours of existence, but hasn’t been heard from since…
2018 Jan NLSQL is artificial intelligence chatbot, which designed to convert human messages to database queries and get back with calculated results based on real data. So far, everyone can test how it works with census.gov open USA export-import statistic, for that you just need to add NLSQL chatbot in Skype, Slack, Telegram or FB. NLSQL invention opens new opportunities for human interaction with database using ust a natural language.
NLSQL can be integrated into existing Amazon Voice recognition services or Google voice recognition services, soon will be launched inside CORTANA skill.
Nowadays it is possible to build bot on MS Azure or with Amazon products using prebuild natural language processing models by the service provider. Requesting information or graphs for business decisions becomes as simple as possible by using Artificial Intelligence chatbot nowadays.
2018+ forecast, Artificial Intelligence chatbot technology is improving every year, and already chatbots are able to interact with the database, make payments, search products and making a forecast in a few seconds.
Technical progress evolution is far from human ability to use the newest technology, that’s why most of the people hated first ATMs on the early beginning, as everyone supposed that’s not possible to replace human interaction in banking.
Eventually, chatbots become effective tools to help in business and support in life.
