Edge AI is the intersection of edge computing and artificial intelligence: an AI paradigm that performs as much computation as possible on “edge” devices that are physically located close to the source of the data. This is in contrast to traditional approaches that first upload the data to remote servers running in the cloud, where the computation is then performed.
What are the benefits of edge AI over “traditional” Internet of Things (IoT) and cloud computing methods? The advantages of edge AI include:
5G and edge computing are inextricably intertwined technologies: each one enables the other. Edge computing depends on fast speeds and low latency in order to transfer large quantities of data in near real time—exactly what 5G is good at providing. For its part, 5G needs applications such as edge computing in order to justify its rollout to wider coverage areas. 5G allows for more and more computing to be done at the edge where the users and devices are physically located, offering unprecedented connectivity and power. The rollout of new technology developments such as edge computing and the 5G wireless network standard has created waves of excitement and speculation across the entire industry.
Chooch AI, a leading computer vision AI platform, is named as an Edge AI Tech Innovator for 2020. The report is titled “Emerging Technologies: Tech Innovators in Edge AI” (October 2020) and is available directly from Gartner. The report identifies twelve emerging Edge AI providers.
In this recorded webinar with VANTIQ and Chooch AI, you will learn about how computer vision, a subset of artificial intelligence, will impact digital business transformation and smart applications that can be deployed on the edge. From fall detection to advanced fire alerts, computer vision is revolutionizing our ability to digitize camera streams and use that data to create “smart environments” in the physical world. Presented by Emrah Gultekin, Co-Founder and CEO of Chooch AI, Brett Rudenstein, Vice President Sales Engineering and Services at VANTIQ, Patrick Burma, Senior Solutions Engineer at VANTIQ and Tifani Templin, Partner Manager at Chooch AI.
The massive growth of IoT devices and its new applications is driving edge ai with an explosive increase in revenues expected to go from 2.8 billion U.S. dollars in 2019 to 9 billion by 2024. The rise of edge computing has been significantly transforming how organizations are collecting their data, processing it, and gaining insights for more data-driven business decisions. But, what is an edge device?
This technology briefing covers the full lifecycle of dataset generation, AI model creation and deployment and inferencing on the edge. Emrah Gultekin, CEO of Chooch AI, presents case studies and a walkthrough of the AI platform.
In this 15 minute presentation, Emrah Gultekin, CEO of Chooch AI, presents how the Chooch AI platform ingests visual data, trains the AI, and exports AI models to the edge. This allows scalable inferencing on the edge on any number of devices from any number of cameras. A transcript of the presentation is provided below the video.
Retail shrinkage is a multi-billion-dollar sore fundamental problem in the retail industry. According to the National Retail Federation, in 2019, the inventory loss due to shoplifting, employee theft, or other errors and fraud reached $61.7 billion in the United States alone. To overcome the issue, retailers have implemented various loss prevention strategies and techniques, from electronic article surveillance, reporting systems, surveillance cameras, and plenty of policies to control the shrink.
Researching AI solutions? Recent technology breakthroughs have made edge AI a go-to method fro implementing computer vision. Need evidence? Market intelligence firm IDC has predicted that the number of edge AI processor shipments will soar to 1.5 billion in 2023, with a five-year annual growth rate of 65 percent. But what is edge AI exactly, and how do edge AI platforms work? Keep reading for all the answers.
This 30 minute panel from NVIDIA, Convergint Technologies & Chooch AI discusses advances in edge AI performance and deployment and is followed by Q&A. The implications for costs savings and quality improvements from edge AI are massive for every industry. Chooch AI performs rapid AI training in the cloud, then exports AI models to industry leading NVIDIA Jetson devices. The edge AI deployments achieve extreme response-time performance of 0.02 seconds on multiple video feeds with extremely high accuracy for a wide variety of use cases. As a systems integrator, Convergint is able to help clients design, deploy, and manage advanced AI Video solutions using Chooch and NVIDIA technology on a global scale.