Voice-based digital assistants in the workplace are the “hot topic” of many tech enterprises, as they serve to speed-up functionalities and streamline business processes.

Smart Ways to Fast-track AI Implementation

Voice-based AI assistants emerged almost a decade ago, but with the increasing speed of mobile communication and the impending benefit of 5G, millennials spend a lot of time on their smart devices.  Today, nearly 20% of all search queries take place via voice search- Google has revealed. The increased use of voice-activated devices has resulted in voice search as a top priority.

Lately, the voice-based digital assistants are being used in various workplaces, to simplify workflows and speed-up business processes. According to a survey by 451 Research in 2019, 4 out of 10 people were willing to take on voice technology by 2021. Enterprises are planning to implement voice-based UIs and AI assistants, along with IoT and AI. A senior analyst at 451 Research, Raul Castanon, is reported to have said, “I expect 2020 will be the year when voice user interfaces will become prevalent in the workplace…They will initially address simple tasks, but this will lay the groundwork for increasingly complex workflows.”

Amazon’s AWS expands Alexa Voice Service to IoT devices

Recently, Microsoft revealed that Cortana is now positioned as a workplace digital assistant, rather than consumer-centric. It will integrate with the Outlook mobile app, allowing users to read out messages and request e-mails. Similarly, Google is also integrating its Assistant with the G-Suite calendars. It enables users to track and do things with the help of voice commands. Raul Castanon also quoted, “This will reinforce the familiarity of voice user interfaces in the workplace, similarly as consumers have become familiar with Alexa and Siri, and with smart speakers like Amazon Echo and Google Home/Nest.”

The advances in NLP have always been introduced by tech giants like Microsoft, Google, and Amazon. Different voice APIs provide companies with access to such technology so that they can design AI assistants to perform specific workplace functionalities. As per a senior research analyst at IDC, Hayley Sutherland, “If I’m working with a voice assistant and it works 80% of the time, that remaining 20% is a lot in my day-to-day job; that can add up to a lot…”

Are We Ready for Facial Recognition Technology?

Today, digital assistants like ChatBots are quite common and widely used. The advancement in natural language processing (NLP) technology has turned AI assistants capable enough to detect regular interactions. It is expected that with time, the voice-based AI assistants will jump in to automate and streamline the work processes even more.