Guide to Implementing Edge AI

Download the report now to learn about implementing edge AI solutions today.

Guide to Implementing Edge AI

Edge computing is one of the hottest trends in IT today. By the end of 2023, there will be 43B connected devices in market, and IDC research predicts more than half of new enterprise IT infrastructure will be at the edge. Additionally, Gartner research predicts that by2025, more than 75% of enterprise data will be created and processed at the edge. It should come as no surprise, then, that this hot topic coincides with another trend – the explosion of artificial intelligence (AI) and machine learning (ML.) To take advantage of these trends and the actionable insights hidden within the troves of data collected, teams need a way to centrally train and manage locally run AI and ML models at the edge to accelerate results and outcomes.

In this white paper, we’ll explore edge AI concepts, trends, and use cases, as well as provide practical guidance for organizations looking to take advantage of the data and opportunities that exist at the edge. Download the report now.