These are interesting times for the chatbot maker and enterprise users. Every global tech major - Google, Amazon, and Apple - are all out with their own versions of the digital assistant, ready to help the consumer's daily needs and regular requirements. Small wonder then, that the underlying natural language technology is also making an impression on the workplace.
For now, the primary area of focus for virtual assistants at the workplace, is centered around employee productivity and workflow automation. What's more, advances in AI techniques, have improved speech recognition accuracies, with companies like Google moving beyond the 95% mark.
For companies looking to invest in digital assistants, there are four primary ways of leveraging speech-tech:
- Speech-to-text can be actioned for uses such as email dictation, gradually growing in accuracy and speed;
- Text-to-speech can be implemented across mobile settings, like the ability to envision personalized podcasts, work document reviews, and quick notes during a commute;
- Conversational interactions through digital assistants, with commands that prompt document location or calendar entry creation;
- And finally, speech analytics for 'sentiment analysis', helping interviews or training sessions.
Before embarking onto the selection of a virtual assistant, businesses must first ask themselves a number of questions. This begins with, understanding who's the best fit - which is the service provider, one should consider partnering with. Conventionally, most firms go with any of the larger cloud providers (Amazon, Google, IBM, and Microsoft), all of whom offer speech technologies.
Needless to say, each has its own USP.
Next up, is a critical pivot for a company; asking oneself, what is the balance that must found between tech and human intervention? Who will finally arrive at this decision? And, what are the business issues, one is trying to solve?
Remember, it's important to distinguish between a tech refresh and an eye on the bigger picture, the long and short of digitization, and the role of AI in an enterprise.
Let's now move towards assessing possible roadblocks to the introduction of virtual assistants, and the situation, on-ground.
Virtual Assistant Vendors & Products
Whatever you choose to call them, here's a list of digital assistants and conversational interface reviews on UC Today.
- Avaya Ava
- Amazon Lex
- Chorus.ai
- Cisco Webex Assistant
- Clara - Claralabs
- Evie.ai
- Genesys - Kate
- Google Duplex
- IBM Watson
- Joan
- Kono
- Microsoft Cortana
- Nice – Neva
- Voicera Assistant - Eva
- Vonage Vee
- Zoom.ai
- x.ai
Right here, right now
While voice-activated digital assistants are making a genuine impact in the consumer landscape, they are yet to find an equally effective footprint at the workplace. However, they are finding a space and are often used to accomplish daily business tasks, such as scheduling appointments, responding to messages, and getting directions. But then, this has been the case so far, since 2011, when Apple launched Siri.
Voice, is yet to really yet to come into its own at the workplace, and if it has to find deeper penetration, it must forget obvious shortcuts.
Firstly, voice isn't for every situation. It's vital to be realistic, and appreciate the limits of what voice can do. Remove the usual assumptions; voice isn't going to take over everything, spreading rapidly across the entire building. The image conjured by the words 'smart office' or 'voice-enabled' is of an environment that's completely powered by voice, only - almost akin to a scene from a sci-fi experience. Acoustic challenges, financial difficulties, and complexity of carrying on conversations with the digital assistant and a co-worker, at the same time, makes this rather unrealistic.




