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How Interactive Voice Advertising Will Enable Marketers to Move Beyond Click-Based Metrics

Throughout its rise to prominence over the past two decades, digital advertising has achieved wild success and is—perhaps unsurprisingly now to most of us —poised to surpass traditional advertising in dollars spent.

Award-Winning Tech Enables Emotionally Intelligent Conversations with AI


Emotion underpins most human interaction. Even for the briefest conversation, you instinctively analyze their facial expression, body language, tone of voice, and what kind of mood they're in so you can adjust your approach. When someone is sad, you react sympathetically, when your friend is angry, you speak to them calmly, when your mother-in-law is angry, you leave the house immediately. (You get our point.)

What Does Conversational AI Even Mean?

People often ask me to give them a brief, non-technical definition of "Conversational AI". And indeed, because I am passionate about this topic, I give it a try.

Conversational AI is about reducing the gulf between humans and machines. The most innate way to achieve this is through language, either in written or spoken form. The most common examples of this are Chatbots or Voice Assistants. Once our communication with machines is done in a cooperative manner beyond simple commands, we call this “Conversational AI,” where “AI” means both “Artificial” and “Augmented” intelligence. This describes the overall idea: We want to augment human capabilities in a smart way.

To picture this, think of a worker in the hospitality industry who has practiced the profession for years and ends up giving out key cards and recommending restaurants nearby. Thanks to Conversational AI, thanks to a Bot taking over these routine tasks, the receptionist can now do more sophisticated things which might need human empathy like taking care of individual guest’s needs and up-selling better rooms. The bot does what computers can do better and faster—like looking up restaurants and timetables.

In short: We want to have a world where Conversational AI works alongside humans.

Conversations can be achieved through various channels—whatever you want to name it: Cross-Channel, Multi-Channel, or Omnichannel. Indeed, there are differences, but all in all this simply describes the need to have a strategy for bi-directional communication in and across your customers’ channels of choice. And that’s for a simple reason: Users are not willing to find you anymore, to search for websites, to install apps.

This means that you need to be where your target audience is.

That’s one of the many reasons I like working with a Conversational AI Platform which is channel-agnostic. Literally, you build a conversation once and use it throughout all relevant channels. Yes, some channels support different media while others don’t and, in some aspects, even the conversation design differs.

Dashbot: Improve Your Chatbot or Voice Skill with Actionable Insights

Source: Dashbot.io

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AI Chatbot Upgrades Fan Experience at Sports Venues

Where's my seat? What is the best hot dog vendor? Which beer tastes less like water? 

Alan: The AI Companion For First Responders

Here's the problem: there are 2.25 million public safety officers in the U.S. and only 100.000 dispatchers. This means police, firefighters, and medical service providers—all of whom are usually in time-sensitive situations—have to wait for a dispatcher to become available so they can get the 101 on the situation ahead. 

How Voice Tech Will Make You Rethink Your Brand Voice

Voice Tech Helps Physicians Focus on Patients Instead of Paperwork

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