Check out our first in the series of Chatbots Tech Talk that was held on September 8th, hosted by Upakul Barkakaty, and Rajiv Verma from Infogain. Drop us a line at email@example.com to request the link to the recording.
When modern customers need information about a product, or if they need a problem solved, they want answers quickly so they can get on with their life. This attitude has driven the demand for self-service and 24/7 customer assistance.
From single-purpose programs that respond to common consumer queries to advanced digital assistants that evolve as they process information, chatbot technologies are making a positive impact on customer service, employee productivity, marketing, and more. According to a study by Gartner, Chatbots will power 85% of all customer service interactions by the year 2020. (That’s now!) In this article, we’ll answer the most frequently asked questions that our customers ask about Chatbots and their benefits.
A Chatbot is a computer program designed to simulate conversation with human users, especially over the Internet, conducts a conversation via textual or auditory methods.
Chatbots often have many of the same qualities as their human counterparts. They have profile photos, names, can post messages and upload files. Chatbots can even send and receive Direct Messages. Think of Chatbots as just another user, one that can assist you in a variety of ways. As mentioned earlier, the popularity of Chatbots is growing exponentially. According to industry statistics:
“Bots are the new apps,” said Satya Nadella at Microsoft’s BUILD Conference back in 2016 as he predicted the way humans would interact with machines. “People-to-people conversations, people-to-digital assistants, people-to-bots, and even digital assistants-to-bots. That’s the world you’re going to get to see in the years to come.” His prediction came true. In 2020, Chatbots are also conversation enablers that enterprise users can use to interact through text or voice.
Chatbots are created in different ways for different purposes.
Chatbots that are based on Functions and Demands are the most limited. These bots respond to specific commands and are only as smart as they are programmed to be.
Chatbots that are based on Machine Learning/ AI have NLP capabilities, can understand language and they keep getting smarter.
Chatbots that are based on Conversational flow:
Achieving a Conversational Flow Design
A well-designed bot will have a conversation flow that feels natural. The bot should be able to handle the core conversation seamlessly and be able to handle interruptions or switching topic of conversations gracefully with:
Bot Frameworks are where bots are built, and where their behavior is defined. Bot Platforms are online ecosystems where chatbots can be deployed and interact with users, perform actions on their behalf, including interacting with other platforms. There are a number of Bot frameworks and platforms to choose from:
The best interaction channel for bots are where the users are!
As bots “mature”, analyzing user data is the next important step. Infogain recommends the analytics tools in the diagram below:
There are many. Chatbots:
Yes! Meet Nysa, Infogain’s virtual employee. She has answers to all the questions related to the Infogain ecosystem and is available 24x7x365.
Want to learn tips for successful chatbot implementations?
Join us for our next meetup event in the Chatbot Talks series, The Art of Implementing a Conversational AI Project, on Wednesday, October 22nd from 10:00 AM – 11:00 AM EDT. Click HERE to register.