Artificial Intelligence (AI) driven technology has quickly become a subculture of human communication. Computational intelligence and business communication have drawn more attention to the importance of better chatbot investment. The growing demand has been met with advanced and efficient chatbots that can replace a labor-intensive routine.
A multitude of these AI-based platforms exist, and as business owners are willing to pay for more advanced chatbots, finding the right platform will quickly become a daunting task.
What are Chatbots?
Chatbots have been designed and developed to assist with human interaction and queries. In a neutral sense, we understand that chatbots are programmed to digitally converse with a human, performing a range of appropriate activities.
The interactive software learns by itself, as it artificially reproduces and studies human interactions, storing the information for future use. The stimulation of human language draws a narrower view of human and machine communication and enables the programmed software to build a fort of human speech and language.
How Do Chatbots “Learn” Human Languages?
A complex layer of software coding and APIs are created as the chatbot foundation, giving developers a way to stimulate and train chatbots on past information that’s already available to them. Although many chatbots aren’t simply learning the needs of a customer or user, it’s creating a logbook of data, analyzing speech, and reacting upon the request.
As the processing or human engagements become repetitive, it gives chatbots more information on reaction and supply. Ecommerce, online businesses, and other business operations are now using chatbots to answer and aid a growing customer demand.
To What Capacity Can Chatbots Perform?
AI software has rapidly aided humans in their growing consumer and information-driven culture. Smartphone devices and websites have become more “humanized,” as clients can now communicate in real-time with chatbots, asking simple questions, statements, or queries. For example, asking Apple’s Siri or Microsoft’s Cortana what restaurants are nearby or ordering items on an online clothing store and inquiring about a specific size will enable chatbots to respond with the necessary information.
The possibilities are endless, and chatbots allow businesses to satisfy more customers and permit better customer service.
The 4 Biggest Chatbot Platforms
A detailed spreadsheet, composed of some of the best chatbot platforms that have become global leaders, is available for a more comparative view. Here are four worth considering:
IBM Watson Conversation Services
The IBM platform can use both English and Japanese, and it offers a three-tiered plan layout. Chatbots can be built to function on image, text, or speech channels built upon 1 billion Wikipedia words. It’s one of the biggest platforms and has become best practice in health care, finance, retail, and legal business.
Facebook Bot Engine
Used by over 65,000 developers to create chatbots that’ll be used in a variety of industries, it helps users to communicate with chatbots in either text or voice interaction. The cloud-based platform can function in several languages (Icelandic, Russian, Swedish, and Turkish, to name a few), using Natural Language Processing. It’s available for free and can be used on Windows, iOS, and Android devices.
More prevalent for conversational interfaces, Dialogflow is popular for its Intent and Contexts concepts, creating links in user needs, and differentiating between the contexts in which it’s being spoken. Dialogflow is already in your mobile phone or home, supporting Alexa, Skype, Telegram, and Facebook Messenger platforms. Users and developers can also use their “Training” features that allow for chatbots being “trained” in certain areas, which enable the creation of customer service based criteria.
This platform is mainly used by messaging app developers, offering mobile compatibility with open and flexible API platforms. Chatbots can be custom created, or with a third-party developer. The company uses a patented framework known as “Pypes” and “Streams” that’s only known to their software engineering plans.
Before paying for any chatbot building services from an established platform, you should consider the needs of your business and how these bots will become an integral part of the growing process.
Many chatbot programming platforms can offer you a diverse and unique set of formats. Although this might come at a different price, it’s considered to ensure your business goals will benefit from using any chatbot.
Establishing both pros and cons of each chatbot building platform can offer your business a modern touch, and will hopefully ensure a better customer service experience.
Avi Ben Ezra is the Chief Technology Officer (CTO) and Cofounder of SnatchBot and SnatchApp (Snatch Group Limited). He leads the Group’s long-term technology vision and is responsible for running all facets of the tech business which includes being the architect of the platforms and UI interfaces.