Mar

How nmodes technology is unique



nmodes AI is based on semantic algorithms. They require significantly less computational capacity compared to standard machine learning algorithms used by a majority of conversational AI systems today.

As a result, the infrastructure requirements are drastically reduced. In simple terms, what Google Home or Amazon Alexa do with the help of supercomputers or advanced computer farms, nmodes AI can do on a basic server.

And it gives nmodes ability to delegate conversational capacity to the users.  With the help of nmodes AI every business (and individual) can create their own AI to handle the details of the business (products, customers, etc) not accessible from the outside.

 
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Building Facebook Messenger chatbot: what they forgot to tell you.

                                     

There are lots of written tutorials and online videos on this subject.

Yet many of them omit important details of the bot building process. These details may vary from one user to another and are difficult to describe in a unilateral fashion. Consequently it is easier for tutorial writers not to mention them at all. We try here to fill the gap and provide some additional clarity.

1. Creating Facebook app.

One of the first steps in building a Facebook Messenger bot is creating a Facebook App. It requires a business Facebook page. This might seem obvious to avid social users yet worth mentioning: a business Facebook page can only be created from a personal Facebook page. If you already have a business Facebook page move on to the next step. If you have a personal Facebook page go on and create a business page. If you are among the lucky ones that live without Facebook presence now is your chance to become like everybody else.

2. Getting SSL certificate.

Next you need to setup a webhook. Your web application is hosted on a web server and the webhook’s role is to establish connection between Facebook and your web application via your web server. In order for the webhook to work you need SSL certificate because Facebook supports only secure connections (HTTPS) to external web servers. So first, you need to purchase it. The costs change from one company to another but it is important to buy a reliable certificate otherwise Facebook might reject it. All major ISP companies offer SSL products. Second, you need to install it on your web server. The installation process can be tricky. Sometimes you can get technical help from the ISP company that sold you the certificate (as a rule of thumb, the bigger the brand the better their technical support is supposed to be. But the cost may be higher too). You can also rely on popular tools, such as keytool command utility, assuming you know how to use them. In any case, it might be a good idea to allocate several days, up to a week, for this step when planning your project.

3. Choosing the server environment.

Your options are (almost) unlimited. Many online tutorials use Heroku which is a cloud-based web application platform, but a simple Tomcat web server would suffice too. Your decisions should be based on your business requirements.  A lightweight server such as Tomcat is a good fit when it comes to web centric, user facing applications. If backend integration comes into play, a web application server should be considered.

Your choice of programming languages is also broad. PHP is one popular option, Java is another but the list by no means ends here. Your chatbot app communicates with Facebook using POST requests, so any language that supports web protocols will work. Again, make decisions having your business goals in mind.

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AI unmasked: How a chatbot is different from a voice bot




The main difference is in the linguistic complexity. 

People express themselves differently when they speak compared to when they type. When we speak we use more sentences and we make our sentences longer. 

As a result a voice bot needs to have better AI compared to a chatbot, in order to handle a conversation and deliver the same customer experience. 


If your business model allows it, is better to start with a chatbot and add a voice bot on top of it.

This way you can gradually increase the complexity of your AI without compromising on your customer experience. 

 
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