Conversational AI Platforms
What You Should Expect From the Next Generation of Conversational AI?
The next generation of conversational AI platform promises to be nothing short of phenomenal. In this article, I'm going to briefly describe what we can expect from our future artificially intelligent software systems.
First, it's important to understand the distinction between general-purpose and conversational AI platforms. General-purpose AI uses algorithms that can work with any language, while conversational AI has to specifically target a specific language for the purposes of delivering a conversational experience. For example, if a person wants to learn Spanish, a general-purpose AI platform would not be sufficient, they'd have to use a particular algorithm tailored to Spanish to make the most out of their conversational experience.
Second, it's important to look at what we do know about conversational AI platforms. For example, IBM has an upcoming project called Watson that will be able to deliver medical advice in Spanish. Google's DeepMind recently beat humans at the game of Go after having spent a considerable amount of time and money training their neural networks to learn this particular strategy. Apple's AIKit will also be able to deliver medical advice in Spanish, as will a forthcoming project by IBM called Cepheus.
Finally, we need to look at what we can expect in the years ahead from the different categories of artificial intelligence platform. We'll likely see many general-purpose platforms that will target a large number of languages, and we'll also likely see more conversational AI platforms that can be tailored to a single language. These platforms will typically use deep neural networks to detect relevant words and to predict how these words will be used by users. Ultimately, we'll want to make sure that our conversational AI platforms have the ability to deliver informative content to users based on their past language usage.
As you can imagine, the overall conversational AI platform will need to be as flexible and adaptable as possible. And as the first generation of artificially intelligent systems get increasingly advanced, the barriers between general-purpose and conversational AI platforms will narrow. However, if you're interested in getting an edge over the competition and making an impact in today's ever-changing business world, you'll need to do a deep dive into the various applications of AI, and how they can affect your own business and the industry in general.
In the meantime, you should familiarize yourself with today's trends in the field of conversational AI and other applications of AI. For example, Google Deepmind's victory in the recent Go World Championship is one of the most fascinating stories in AI news to come along in a long time. For further details, discover more here.