Year: 2020

Over the last several years, the topic of automation has gotten a great deal of attention. It’s fairly widely accepted that we are in the beginning stages of what has been called the Fourth Industrial Revolution. AI’s ability to automate many routine tasks is at the heart of the notion of the Fourth Industrial Revolution.

In parallel, I’ve been having some interesting conversations with clients and contacts about the use of predictive analytics, in the form of sentiment analysis, in chat channels. One way to think about this is trying to tap into the power of prediction by using AI to pick up on weak signals of sentiment or preferences that customers might indicate within a conversation (in this case via chat or messenger services).

As most educators, trainers and facilitators are now having to move their classes online, they are also looking for better ways to engage their virtual learners. eLearning, live Zoom classes, educational videos are digital tools that might already be used. While live online classes will provide the teacher-student interaction that is very much needed, time limitations exist, just as in physical classrooms. eLearning and videos provide learners with the ability to learn anytime, anywhere, on any device, but these tend to be very much one-sided, with the learner passively watching and navigating through the online content.