Artificial intelligence (AI) leads the charge in the current wave of digital transformation underway at many global companies.
Organizations large and small are actively expanding their AI footprints as executives try to comprehend more fully what AI is and how they can use it to capitalize on business opportunities. Gaining insight into the data they collect helps them engage with customers and hone their competitive edge.
But, while AI may indeed be the frontier of enterprise technology, there remain many misconceptions about it. In this whitepaper, we take a closer look at some of these.
Separating Science from Fiction
Part of the confusion stems from the fact that AI is an umbrella term that covers a range of technologies — including machine learning, computer vision, natural language processing, deep learning, and more — that are in various stages of development and deployment.
The use of AI for dynamic pricing and targeted marketing has been in use for a while, but actual AI computing where machines think like humans is still many years from becoming mainstream.
The various possibilities between these poles prompt a range of reactions from people who understand different aspects of AI’s disruptive potential.
