Top 10 Chatbot Development Platforms to Look Out for in 2021

I’m sure that since you are here, you must have interacted with several chatbots on social media, websites, and applications by now. With chatbots evolving each day, we often struggle in identifying what tools we need and how we should look to manage the same.

In the last few years, we have seen the growing confusion between chatbot development and publishing platforms. So, before we share the best platforms for chatbot development, let us first explain the basic difference between” Chatbot Development” and “Chatbot Publishing.” 

AI Chatbots – Challenges and Opportunities

Perhaps one of the most extensive and prominent use cases for the adoption of Artificial Intelligence in the industry is the increasing use of AI chatbots across service lines. Chatbots have become an integral part of both the internal and external communication strategies of all large organizations. Chatbots are being used as a human alternative for first-level query resolution for a host of industries. In all cases, end users have direct interaction with chatbots.

What Is a Chatbot?

A chatbot is a rules-based computer program, which simulates human interaction with end-users via a chat interface. In other words, a chatbot can have a conversation with you just like a real person, ask questions, and answer queries based on pre-defined rules and logic.

How Your Chatbot Can Learn to Understand Synonyms in Teneo

In language, there are many ways of saying the same thing. That creates a need to optimize the language conditions for your bot so that it can give the correct answer even when other words are used. Here is how you do it in Teneo Studio.

We have earlier seen examples of how to semi-automatically create language conditions based on positive example inputs. For example, we created a syntax trigger that can handle conversations like the following:

Four Ways Chatbots Make Your Office Life Easier

Routine tasks kill productivity and creativity. It’s an obvious fact, but if you need proof, there are stats showing that people spend up to 80 percent of their average workday on activities of little to zero value. How can organizations solve the problem? Incorporating chatbots is one of the most innovative and effective answers.

When Merge Queue, or MQ for short, joined one of our projects, we all felt relieved. This guy has taken on the arduous task of managing access to the GitHub repository. How does it work? Well, MQ lets only one developer at a time use the central file storage, preventing hang-ups. Others who want to push changes receive a notification: "Hold your horses, you are in the queue!" After the repository is free, MQ pings the next contributor in a waiting line.