Top 5 Edge AI Trends to Watch in 2022

In a study published by IBM in May, for example, 94 percent of surveyed executives said their organizations will implement edge computing in the next five years. From smart hospitals and cities to cashierless shops to self-driving cars, edge AI -- the combination of edge computing and AI -- is needed more than ever. Businesses have been slammed by logistical problems, worker shortages, inflation and uncertainty caused by the ongoing pandemic. Edge AI solutions can be used as a bridge between humans and machines, enabling improved forecasting, worker allocation, product design and logistics. While edge computing is rapidly becoming a must-have for many businesses, deployments remain in the early stages.