By now, you must have heard the term “virtual assistants.” The natural evolution of virtual assistants is the virtual experts. Going from former to the latter is a substantial technical challenge not many companies are willing to meet yet, because the simpler “assistant” version has untapped commercial potential and a quick ROI. Nevertheless, virtual experts is the real game changer – a paradigm shift – that will have social and economic impact beyond our wildest imagination.
The rise of virtual experts is just hiding behind the puzzle of the most effective machine learning approach.
Investing in the most effective machine learning approach holds the key for commercial success. It has to be practical, transparent, agile, and quick to deploy. Our process is explained in simple terms in my previous articles: “Deep Cloning Versus Deep Learning” and “Can Machine Learning Use Knowledge …”
Some examples of virtual experts coming off our conveyor belt include DrCHAT which is a virtual doctor for women’s health (in Beta). DrCHAT encapsulates physicians’ expertise following the ACOG guidelines for evidence-based care, and is further described in the article “Artificial Intelligence (AI) in Medicine …”
Companies needing to interact with clients beyond Website presentations can launch a virtual company spokesperson. Vera is an example where she has absorbed several layers of company information via machine learning. Although her conversation skills do not match a real human, she is highly effective with genuine visitors who are looking for information by chatting instead of surfing Web pages.
As an example of converting documents into chatbots, the virtual expert Terry Kohen chats about IRS Small Business Tax guide (Publication 347). The conversation with Terry is somewhat limited to the scope of the IRS document, thus it does not replicate the expertise of a human tax expert.
Geographic expertise is always in demand for travellers. The two most prominent areas for virtual guides include smart city and travel safety applications. Before these specialties become virtual experts, we have been testing a destination finder, Davis Hunter, using a limited-scope wikivoyage data.
New Opportunity to Monetize Expertise
The commercial impact of virtual experts will be driven by the scalability offered by chatbots.
While human experts monetize only by face-to-face consultations, their virtual counterparts will be able to monetize by one-to-thousands consultations, simultaneously.
Eventhough such electronic consultations may require small payments, high volume will push the revenues to levels only determined by server capacity and market demand. That’s the critical value point.
This article is brought to you by exClone, a chatbot technology provider.
Chat with DrCHAT about Women’s Health
Chat with Vera about exClone