Three enterprise learning use cases for augmented reality
Emerging technologies such as AI, robotics, and intelligent automation are reshaping the labor force.
By 2022, global average skills stability—the proportion of core skills required to perform a job that will remain the same—is expected to be ~58%*. This sea-change means that many traditional jobs are already morphing into something different, or disappearing altogether. No less than 54% of all employees worldwide will require significant re- and upskilling within the next three years.
In the time since massive open online courses (MOOCs) debuted nearly a decade ago, the objectives and means of employee training and knowledge have evolved. The most recent innovation to enter the enterprise learning space is Augmented Reality (AR). For companies seeking to minimize how the skills gap impacts their business, AR promises a collaborative, interactive, and highly effective method to advance employees’ skills for unmet needs.
Here are three examples of how an enterprise can …
How to use conversational design principles to build a better bot and improve customer engagement
For businesses, the fundamental value of a chatbot is that it scales customer engagement.
For customers, though, a chatbot is only as valuable as the speed and ease with which it can answer a question or complete a task. For that reason, AI-based chatbots, which have natural language understanding (NLU) capabilities, are vastly preferred by users.
Human-like conversations don’t happen by accident, though. AI-based chatbots that engage customers and lead to better conversations are a result of smart decision-making based on communication design principles and thoughtful conversational design.
Today, companies have a number of platforms to choose from, to provide the APIs, infrastructure, and tools needed to build intelligent bots. These platforms are commonly referred to as conversational AI platforms, and let you focus on building a bot experience that works for your users without worrying about the underlying capabilities or infrastructure.
Some of the better known of conversational AI …