An AI platform has many advantages, the most powerful being the ability to create many possible solutions, providing greater flexibility and agility over single-purpose systems. That’s why Chooch has built an AI platform that makes it easy for organizations of all sizes and industries to bring computer vision into their workflows – from data collection, to training, to inferencing on the edge and in the cloud.
The reasons for AI project failure are numerous, diverse, and complex. One of the biggest causes, however, is lacking the necessary technical skills—whether from in-house data scientists and machine learning engineers, or from a strong third-party computer vision consulting partner.
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?
From the ROI of AI to using AI for industrial safety, this wide ranging 9-minute Digital Executive podcast sheds light on why every organization must invest in AI. Brian Thomas CTO of Coruzant Technologies interviews Chooch AI’s Vice President of Strategy and Growth. Michael shares with Brian how he started his career as a technologist, moved into Wall Street as an investor, and is now back in technology working with AI technologies.
SAN FRANCISCO, Nov. 16, 2020 — chooch.ai, a computer vision AI platform, today announced their Series A round
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.
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.
As artificial intelligence technologies continue to develop and advance with the advances in deep learning and more powerful GPUs, businesses are taking notice. But deciding to use enterprise AI solutions is just the tip of the iceberg—in particular, you need to decide between a single-purpose AI system vs. an AI platform. In this article, we’ll discuss why AI platforms are generally more flexible, expandable, and agile than alternatives such as a single-purpose AI system.
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.
Chooch AI offers live ai demos to enterprises that understand the value of computer vision and are seeking to replicate human visual tasks. If your organization is seeking a demo of the Chooch ai platform, please request a demo and we will provide you with a calendar link to schedule a time.
Chooch AI is a visual AI platform that can process real-time images and extract relevant metadata. Emrah Gultekin CEO and founder of Chooch AI explains how their solution solves a fundamental problem in Visual AI, the ability to acquire visual expertise in a structured way similar to human knowledge. Originally published by IT Chronicles.