Sep

nmodes Introduces Arabic language support for Advanced AI Solutions

nmodes recently introduced new feature for our family of Advanced AI solutions – Arabic language support. 

nmodes provides conversational AI solutions to address the needs of customers around the world. We deliver chatbots, integrated AI solutions, omni-channel AI systems and more. Our solutions are professional, efficient, scalable. 

We believe this is the beginning in the marketplace for advanced conversational AI solutions that help improve and scale current sales and customer service business process. With Arabic support, we’re creating new opportunities for an important, fast-growing market segment.

Additional native language support is an integral part of our strategy of bringing a full spectrum solution to the AI market.  We continue to define new solutions, add new languages to enable businesses and organizations around the world more easily benefit from the advantages of  using solutions powered by advanced AI technology.

Interested in reading more? Check out our other blogs:

AI unmasked: How is nmodes different



nmodes is the only platform offering businesses their own AI that represents their brand. Other platforms are one-size-fit-all solutions that make it difficult for businesses to let AI know their sales process, customers, product details. nmodes gives every company an AI assistant that knows their business and grows together with it. 

In addition, nmodes AI is laughingly easy to use - there is no need to be technically savvy because all communication happens in natural language. 

Also, nmodes platform offers data privacy better than any other AI solution. nmodes unique architecture makes us the only conversational AI company that does not own customers' data.  

 
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WHAT IS AI TRAINING



AI training is a critical part of conversational AI solutions, a part that makes AI software different from any kind of software previously created.
AI training is not coding.
Unlike all other existing software which is fully coded.

Let us consider a simple example:
We create chatbots for two companies, one company is selling shoes, another is selling cars. From the software standpoint it is one chatbot solution running as an online service accessed remotely or a program available locally. In both cases they are two identical instances of the same software (one instance for the shoes company, another for the cars company).
Yet, for the first company the chatbot is supposed to talk about flip-flops, summer shoes, high heels and so on. For the second company, however, the chatbot is not expected to know any of that. Instead, the chatbot should be able to support conversations about car brands, car models, should know how to tell Toyota Camry from Toyota Corolla, etc. This shoes and cars knowledge is not programmable. It is trainable. It is not coded, instead it is a part of language processing capability that AI solutions like chatbots have. And herein lies the major differentiation and advantage of the AI solutions compared to traditional software.

How to train AI?
There are several ways to do it. Sometimes AI system can train itself, improve its linguistic ability over time. It also can be trained by professional linguists. And in some cases, by the users. The latter is the desirable scenario because businesses know better than anybody else what they want their chatbot to talk about.
It is not easy, given the existing state of AI technology, and usually requires a high level of technical knowledge. You may have heard mentions of intents and entities in chatbot discussions. These are examples of linguistic elements AI training is currently based on.
Without proper understanding of what these linguistic elements are and how language acquisition process works in existing AI systems it is better to leave AI training to professional linguists.

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