Article | September 20, 2018

Three Enterprise Areas Where AI Can Turn Buzz Into Biz Today

Source: IFS North America

By Bas de Vos, Director of IFS Labs

Bas de Vos

Are you an AI optimist, or pessimist? Bas de Vos, Director of global enterprise software provider IFS’s creative think tank IFS Labs, argues for a more pragmatic view of AI. Polarized perceptions, he says, stop us from seeing how much is already possible. Three areas where AI can make a real difference today are within human augmentation and decision automation, AI-enhanced predictive maintenance and service, and AI-supported system interaction. The key to success lies in using the strengths of the AI and the human brain together where they support each other, says de Vos.

Are you an AI evangelist or fatalist? Today AI is often profiled as either the end of the world as we know it, where robots will take all of our jobs, or the answer to all our problems, where AI is the ultimate solution to save the planet. It’s ironic that such a complex technology often provokes such a simple, binary response. And it’s a problem. Because as anyone who actually works with AI will tell you, the truth is less dramatic, at least in the short term, but far more relevant here and now. So in which enterprise areas will we see AI first and which use cases will be pioneering the development? These are the ones I predict will gain traction rapidly:

1) AI augmentation and decision automation

One reason to why some people believe that AI will deprive people of their jobs, is that they confuse AI with automation. According to Gartner, “2020 will be a pivotal year in AI-related employment dynamics, as artificial intelligence (AI) will become a positive job motivator... AI Will Create 2.3 Million Jobs in 2020, While Eliminating 1.8 Million.” According to Gartner analyst Svetlana Sicular, “’Unfortunately, most calamitous warnings of job losses confuse AI with automation — that overshadows the greatest AI benefit — AI augmentation — a combination of human and artificial intelligence, where both complement each other."