DB: The last app I looked at was Talkspace, which provides online therapy with a licensed health professional at a significantly reduced rate. Similar to Joyable, it uses a variety of activity-based tools to make improvements in a variety of areas such as happiness, compassion, balance, self-awareness, and productivity. Users can communicate with therapists by leaving text, audio, and video messages at any time.
This chatbot is one the best AI chatbots and it’s my favorite too. Evidently it is the current winner of Loebner Prize. The Loebner Prize is an annual competition in artificial intelligence that awards prizes to the chatterbot considered by the judges to be the most human-like. The format of the competition is that of a standard Turing test. You can talk with Mitsuku for hours without getting bored. It replies to your question in the most humane way and understands your mood with the language you’re using.
As for the app’s “friendliness,” this is an area where Joyable really shines. The program itself feels very easy to navigate, yet polished in a way that puts very little pressure on the person using it. The app isn’t needy, nor are the coaches you check in with. It’s straightforward in a soothing way, and, to me, that’s the ideal kind of friendliness.
Dr. Dillon Browne is a clinical psychologist and professor at the University of Waterloo. He completed his PhD in psychology at the University of Toronto and has written numerous articles in the domains of children’s mental health, human development, and family studies. Dillon enjoys playing the guitar and piano, cycling, and fitness. Connect with him on LinkedIn.
Non-technical tools: these are tools that anyone can use to quickly build a chatbot. These can be used to create simple chatbots or prototypes to quickly learn whether chatbots are a good fit for your application. You will likely not be able to handle complex integrations with your website, and your bot will not behave intelligently. Nevertheless, these tools are very useful even for those that are able to code. An example of a popular tool in this category is Chatfuel
IBM Watson™ Assistant is highly flexible, allowing you to deploy small, focused solutions or to scale to enterprise wide deployments. With simplified tooling, it allows collaboration between business SMEs and developers to build out conversational solutions and advanced dialog flows, without needing to be an expert in machine learning. The premium and dedicated plans provide enterprise grade security and support; such as data isolation, end to end encryption and support for non-regulated PII data.
Typically, customer service chatbots answer questions based on key words. The most basic systems are actually document retrieval systems. Sometimes this is frustrating. Think of the times you may have asked Siri or Alexa a question and received the wrong answer. The computer recognizes key words but may not recognize the context in which they are being used. In other words, the computer doesn’t recognize the way people naturally speak. This causes the customer great frustration. However, these systems (including Siri and Alexa) have come a long way and continue to improve.
When BotEngine was released, I was an instant customer. I built and deployed bots on at least four other platforms while waiting for BotEngine and every one of those platforms was problematic. Either they weren't reliable and would malfunction without warning, or they were free and then not free and then kind of free and then not, etc, so i would gladly recommend.
Pros: Having a woocommerce site than activechat is a must have bot for your facebook page. Not only for facebook they have bots for other platforms like telegram, and whatsapp bots are about to launch in a while. They have launched a website widget too. NLP is an addition to this bot its just more interactive than any other bot available. I am waiting for whatsapp integration
Rulai also integrates with most messaging channels, customer service software, enterprise business software, and cloud storage platforms. You can either build a Ruali chatbot from scratch with its drag-and-drop design console and let its AI adapt to your customers or you can implement a pre-trained chatbot that has been fed data from your specific industry.