Virtual assistant

Five ways to make an AI virtual assistant work for you?

An AI virtual assistant can do more than process data. It can play a crucial role in revamping the business

Virtual assistants are increasingly popular for creating a smart and efficient work environment. Amazon’s Alexa, Apple’s Siri, and Microsoft’s Cortana are prime examples of how people are finding virtual assistants help streamline their daily activity. On the work side, Virtual Assistant Tools are in place to help with mundane tasks. As technologies advance, their sphere of influence also expands. According to a Gartner report, consumers and businesses will spend $3.5 billion by the end of 2021 on virtual personal assistants. Therefore, the user must be smart enough to have an optimized experience and get the maximum results from virtual assistants. Here are some tips to follow when using AI virtual assistants.

Choose the right fit

Different virtual assistants come with different features. Not all functions of your business would require their services, and not all of their features can meet your specific needs. It’s about choosing the right permutation and the right combination to exploit its full potential. In order to make the right decision, you need to educate yourself for the latest updates and features. Instead of thinking about conventional ways of using virtual assistant features, you can find ways to apply existing features to other business problem areas.

Look for business opportunities

AI assistants are simply not a technical substitute for human beings. They can significantly influence the ways of doing business. Virtual assistants are mostly seen as voice assistants or data processors, although they have immense potential to steer businesses in a new direction. For example, an AI-enabled VA can re-engage retired prospects, bringing more sales to the company. To have a bigger business impact, you should opt for customizable VAs.

VAs are more than just chatbots

Instead of just giving instructions to virtual assistants and then forgetting, adapt to voice assistants trained in NLP and ML. With their human-like intelligence, the AI chatbots can significantly increase the tasks of the company. These bots can combine big data, personalization, and machine learning to generate meaningful insights. For example, in banking, bots can be used to detect fraudulent transactions using inconsistencies in location data.

Meeting common challenges

One of the main disadvantages of VA is the lack of personalized engagement and precision when it comes to interacting with human beings. Conversational AI training can solve this problem to a large extent to make your virtual advisors more human. The next challenge is that AVs do not deal with behavioral targeting. Feed your virtual assistants with behavioral targeting rules like metrics that will help virtual assistants understand customer intent.

Create security features

Although virtual, these tools are your second self and will have access to all your accounts. Questions like whether your system has a foolproof mechanism for smart VAs to log into your accounts and how the VA provides your data to other players on the team need to be addressed.

Ultimately, in the end, what matters is keeping your customers engaged and not frustrating them with unnecessary intervention by a few random VA features. Overcoming these challenges implicit in the implementation of AV Technologies plays a crucial role in the success of a brand.

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Analytics Insight is an influential platform dedicated to ideas, trends and opinions from the world of data-driven technologies. It monitors the developments, recognition and achievements of artificial intelligence, big data and analytics companies across the world.

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