I am sure many of you have been or are currently involved in a project with one or more partners or vendors that demand frequent update calls. Typically, you would set up a conference bridge, exchange files via emails and, if required, send an instant message (IM) via SMS or some other OTT application. Does this scenario sound familiar? As time goes by,

“Effectively, change is almost impossible without industry-wide collaboration, cooperation, and consensus." – Simon Mainwaring

There is currently a lot of momentum behind IoT (Internet of Things) and IIoT (Industrial Internet of Things).  We’ve looked at the consumer IoT situation in a previous installment of this blog series, now let’s have a peak at the non-consumer side of the fence – the IIoT acronym adopted by the industry.

One of the latest technologies we’ve seen making its way to the market is the connected car. This technology provides consumers with increased comfort, vehicle analytics, and most importantly, enhanced safety features. While these features in and of themselves are impressive, the potential to do more is huge. By connecting solutions like the connected car with consumers’ smart phones and smart homes, for example, we can add tremendous value and improve overall user experience. This is where DialogicONE steps in.

The challenge from our communication service provider customers is very clear – we need new applications and services to protect and grow ARPU.  We need differentiated new offerings that go beyond connectivity and security of our networks.  We need to launch new solutions much faster than before.  We need to compete on more than just price.  And my favorite ask – we need access to the latest digital technologies, so that our solutions include an exceptional user experience.

To close out 2017, I want to recap and share with you the top 10 blogs published this last year in case you missed them. It's no suprise that WebRTC, AI and IoT dominate the headlines. Enjoy!

Machine learning (ML) is a type of Artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. In other words, machine learning receives input data and uses statistical analysis to predict an output value.

The future contact center is an exciting place.  Artificial Intelligence will be front and center.  The elements of some of this exist today.

Confession - last week while entering my dark hotel room, I found myself uttering ‘Alexa, lights on’ – to my disappointment the room remained dark....

As I have written about many times before, contact centers have always been at the forefront of technological innovation.  That is because they are driven to both reduce costs while increasing customer service. That is why IVRs, speech recognition, remote agents, and VoIP, to name a few, have become entrenched in the contact center.