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Home / Blog / Future of Virtual Assistants: Is it the rise of machines already?
Future of Virtual Assistants: Is it the rise of machines already?
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3 min read
Digital Engineering

Future of Virtual Assistants: Is it the rise of machines already?

October 21, 2020·By Srini
3 min read
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The term Rise of Machines should bring you memories of the movie Terminator series and Skynet.

Virtual digital assistants (VDAs) are rapidly gaining traction in both consumer and enterprise markets. So, what are these VDAs? Virtual digital assistants are nothing but automated software programs or platforms that help the user through understanding natural language in written or spoken form. Going by the virtual assistant demand, the device is poised to digitally transform the user experience.

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Apart from smartphone-based virtual digital assistants, which are widely popular, VDAs are also beginning to enter the ecosystem of smart home assistants and other device types like fitness trackers, PCs, and automobiles. This rapid proliferation of virtual digital assistants is due to the accelerated innovation and scalability of associated technologies like AI and NLP (natural language processing).

In the future, you will be able to chat with your car about the best locations to visit. Your car will display the best possible route after analyzing driving time and getting your preferences conversationally. All these advancements will be due to the tremendous power and rise of digital assistants.

From the consumer-oriented virtual assistants like Siri, Amazon Echo, etc., to dedicated software for business use cases, future virtual personal assistants are going to digitally transform the customer experience. Thus, an enterprise must build a VDA to stand out from the crowd. Here are some of the steps to build an effective virtual assistant.

Step 1: Build a flawless speech-recognition system. This process requires acoustic modeling, voice modeling, and a speech recognition engine

Step 2: Enable Natural Language Processing (NLP) which is the basic intelligence required to process semantics of a user’s speech input.

Step 3: Integrate machine learning or AI to improve the intelligence of the virtual digital assistant. This allows VDAs to learn, understand, and adapt based on the information available.

Step 4: Since responses should be instantaneous, VDAs need large scale systems that provide the power required for processing large amounts of data.

Step 5: Finally, all these modules should be secured using an API gateway to interface with several other systems. It is worth mentioning that, VDAs should be designed for a mobile-first and cloud-based environment.

HOW WILL THE FUTURE OF VIRTUAL ASSISTANTS IMPACT CUSTOMERS AND BUSINESSES?

VDAs would soon lead to the era of high customer satisfaction. With VDAs, there is tremendous opportunity to better engage customers and employees alike.

The consumer side of virtual assistants will become more proactive. Virtual assistants will learn more about you from your texts, searches, emails and it will start suggesting or predicting what you need, even before you ask.

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