2024 State of Edge AI Report

We are pleased to share Chapter 1 of the 2024 State of Edge AI Report with you.This report represents months of hard work, research, and dedication to exploring the dynamic world of Edge AI applications across industries.Report Highlights:#1:Industry-specific insights–Each industry is covered by a dedicated chapter that provides industry-specific insights, descriptions, and examples. ,#2: Real-life case studies – Get comprehensive insights from featured sections of real-world case studies.#3: A look into the future - The report also provides a peek into the exciting generative AI technology and its convergence with edge computing before delving into the challenges still hindering Edge AI today.Download the full report below.The Evolution of AI: From Research to Edge TechnologyEdge AI’s growing momentum over recent years has not been a stroke of luck or an unexpected turn of events. It’s been brewing in the research spheres for quite a while now. In fact, the way AI influences technology has been a discussion since the mid-1900s, ever since Alan Turing set the standards for the “thinking machine,” and Christopher Strachey wrote the first successful AI computer program, followed by Arthur Samuel of IBM pioneering machine learning. From then on, AI went on a long rollercoaster ride of rises and dips, going through hype cycles and significant interest and funding all the way down to not one but two “AI winters” before the turn of the millennium. Nonetheless, in recent years, especially going into the 2020s, AI has taken yet another leap, but this time, it has taken off.With major developments in machine learning and the advent of technologies like cloud computing, edge computing, and fog computing, AI has significantly benefited from the data processing capabilities brought about by these technologies. Cloud computing’s ability to process massive amounts of data simultaneously and edge computing’s ability to process data locally and in real time are both crucial for AI’