In a prior post, I commented on how personal digital assistants and virtual assistants in general work and how they become smart in answering questions. While virtual assistants for businesses work just the same, when choosing a platform, businesses have other aspects to consider.
Typically, a business will rely on a virtual assistant platform that allows them to run the same algorithms over a different set of knowledge. Think of a technology company with 100 products and wants to provide a virtual assistant service for each product. Building and coding virtual assistants 100 times is an expensive and time-consuming process. This is where companies such as NoHold come into play with their SaaS platform. Each virtual assistant uses precisely the same NLP, navigation and inference algorithms on every product’s knowledge base. The only difference is the separation of dialog trees, structured hierarchical trees, and meta-data, with the answers available across any virtual assistant or 3rd party app. The rule-based approach, and in particular the NoHold platform, is in my opinion simpler and less costly for creating virtual assistants for businesses. It provides these benefits:
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