Gigaom | WebRTC is a Natural Fit for the Enterprise - 0 views
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Up until today, communications took place in a separate logical and often times even physical network. Be it cellular, wireline or VoIP service, these get built in its own private network or virtual LAN within the enterprise. And the interfaces built into these products in one of two ways: communication-based, which is hard to handle (think SIP or Megaco as an API layer for IT developers); or on some proprietary API that is hard to interface and integrate with. Advertisement WebRTC changes all that. It not only makes VoIP more accessible as a technology, but it almost forces developers to think with standard web protocols on how to use and deploy it. As an example, it gets your CRM vendor build his own contact center, many times with players such as Twilio who offer their own WebRTC SDK. Advertisement
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"Here's something funny. While most complain that WebRTC isn't suitable for the enterprise, it is probably the next best thing happening to enterprises. And it is all because we're in the midst of a digital transformation. WebRTC is a five-year-old technology, so it is rather new to the scene. At its core, WebRTC enables adding real-time voice and video communications to any website without the need to download a thing. Need to get a customer on a quick support call? Just send him a URL. The naysayers dismiss WebRTC because it still isn't available on Safari or Internet Explorer. While that is true, it is changing. Support already exist in the new Microsoft Edge browser with reassuring rumors about Apple and Safari's plans towards WebRTC. Ubiquitous WebRTC support everywhere is on the horizon. Which brings me to enterprises. Enterprises today are going through a digital transformation. In each and every vertical, businesses are being redefined by having the information that runs through the enterprise turned into digital assets that are then used to drive business processes and analytics. This takes shape in many different ways: enabling customers to use self-service channels instead of using human operated contact centers, using big data and data lake projects to deduce insights and personalize services, streamlining sales processes through marketing automation, etc."