5 Approaches That Modern Virtual Assistants Follow for Back Office Support

Do you want the devices to obey your commands instinctively?

Underline the word “Instinctively”. Now answer- if there is any possibility that the machines will start responding desirably. Despite having a voice assistant device, such as Home or Siri, the corporate world is still waiting for the breakthroughs.

Upon seeing the big guns in the virtual assistance domain, some leading virtual assistants emerge outshining. On the global level, we have Amazon, Google, Apple and now, it’s Microsoft.

1. Connecting people remotely: What if you skip an important invitee from being invited in a conference?

Certainly, it’s a big blow to the prospective intelligence. The strategy, which could be more proximal to reality, will be misleading due to anomalies or discrepancies. Only half of the facts will be integrated to configure a business idea.

The modern virtual assistants, such as Amazon’s Alexa for Business and Microsoft’s Cortana, can connect with important corporates through a voice. Linking people has never been that much easy, as it is today.

1. Understanding Context is Easy: Human brain dominates in determining the context. To merge this idea into machines was not easy. A machine carries out many operations correspondingly and coherently. When it comes to finding a context, recalling all previous conversions is must.

How is it if a device stiches all conversations together, filtering the context?

It’s possible with Microsoft’s Cortana. It, for example, has a potential to churn the outlook inbox and determine the context. This is how it filters those who have given a nod to attend the conference. Its bots make a round to those email confirmations and brainstorm. Then, it automates follow up on your behalf.

1. Semantic System Engages Easily: The linguistic approach relates semantics to the study of meanings. Can you instantly come with an appropriate answer if being asked about the last the meeting minutes, which you attended two years ago?

This is where the semantic system integrated in electronic virtual assistants comes into play. It keeps a track of all previous communications. You do not need to press your mind. This is how the artificial intelligence wins through accessing the information that it has stitched together within the inbox.     

Satya Nadella said in a Seattle conference, “In spite of all the progress, you have to remember that most of the conversations we have today are still very brittle. They are not multi-turn. The context from turn to turn gets lost.” This is how people do not engage with one another.  

But, the virtual support through algorithms can insert an ease in getting engaged. 

1. Speedy Results in Natural Language Make a Day: Virtual assistants are gaining the momentum in the scope of back office services. The modern virtual support devices run on machine learning models locally. Google’s Pixel smartphones, let’s say, will have the refined version of Google assistant. For quickening results to up to 10 times faster, it has merged with its cloud servers. It determines that processing the speech with approximately zero latency will transcribe result in the real time.

The advanced machine learning patterns have a potential to shrink language comprehensibility and recognise speech from 100 GB to less than half a GB.

“It makes the assistant so fast that tapping to use your phone would seem slow. I think this is going to transform the future of the Assistant,” Google’s CEO Sundar Pichai said.

1. Controlling Smart Devices is Seamless: However, the users typically hire the virtual support devices to check the weather, play music, booking orders, setting calendar, opening, navigating and sharing data among apps in a wink. In the nutshell, the data processing support on devices is the most sought for quick response time, robust security and privacy. It is so because the sensitive data are shed under the stringent data directives or norms. Thereby, that data are hard to be accessible remotely.

The workplace certainly has a strong security support that tends to keep sensitive data in the silos of password, encryption and biometrics. The upcoming Google Assistant, for example, can be able to stretch its penetration to a broader range. It will cover a wide range of smart devices in the office, such as lights, conference room projector, heating, and smart screens/board.