Blog Article

Voice Recognition Is The Next Phase Of UC

Posted by Casey O'Loughlin on May 9, 2018 9:06 am

Unified Communications can broadly be defined as the ability to communicate using any medium of choice at any time and switching seamlessly among them. The idea started with Microsoft’s initial attempt to deliver UC with the Office Communications Server (OCS), but voice quickly took a back seat to videomessagingcollaboration, and even social media, as those were integrated into all-encompassing communications environments. There were several factors, including a desire to bring new technologies into internal and customer interactions, as well as a driving desire from younger generations to use new mediums, including video and messaging. The other, of course, was that voice tools, like voice recognition software, weren’t nearly as exciting and often not accurate enough for most use cases.

Related: 3 Key Ways Artificial Intelligence Impacts Unified Communications

Since then, voice technology has come a long way with improvements to voice recognition including the integration of natural language processing and even artificial intelligence engines, such as Siri, Cortana, and Alexa. This new innovation around voice-enablement is giving way to a whole new world of voice-based applications that allow you to do more with your UC solution.  

New Heights Of Messaging

The smartphone explosion and emergence of cloud computing have driven messaging to new heights – At the end of last year, more than 60 billion messages were sent each day globally (including carrier SMS and OTT apps like WhatsApp and Facebook Messenger). That’s translated into increased use of messaging in business applications as well. From internal collaboration tools to customer service through live chat, messaging has quickly become a dominant business communications channel. Even many IP phones have become messaging-enabled in response to its preferential status.  

Related: The Digital Workplace & Industry 4.0

Here’s the downside with messaging, however: Typing is much less efficient than speech. In fact, researchers from Stanford, the University of Washington, and tech firm Baidu concluded two years ago that for English, speech recognition is three times faster than typing, with a 20 percent lower error rate.  Considering the advances in AI and machine learning since then, it’s easy to think those figures are even more biased towards speech today.

Related: Virtual Communications & The New Visual Enterprise

The Future With Voice Recognition

While there’s a generational gap when it comes to communications preferences, with younger generations opting for messaging over voice 3:1, they are prone to using voice-enabled apps. The technology is ready, so the key is making it easy to use. Voice is clearly making a comeback, even if it’s not for two-way calls. 

Related: Creating The Meeting Room Of The Future

Whether you leverage a chat app for your customer service team or use messaging as part of your internal collaboration strategy, the bottom line is that you allow customers, partners, and colleagues communicate the way they want to, which circles back to the fundamentals of UC. But why not take it to the next level and speech-enable it all. You will keep your users happy and see increased adoption of your UC investment, creating more efficient communications in the long run.

  • Keywords:
  • uc
  • Ucaas
  • unified communications
  • Voice Recognition
  • Industries:
  • Telecommunications