Introducing Cognizant Neuro® Edge: Revolutionizing AI Deployment at the Edge

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[{"type":"text","content":"Platform enables real-time AI-enabled data processing across industries, enhancing data privacy and operational efficiency.\nTEANECK, N.J., July 1, 2024 /PRNewswire/ -- Cognizant (NASDAQ: CTSH) announced the launch of Cognizant Neuro®️ Edge, a new platform in the Cognizant Neuro®️ suite, designed to empower businesses across industries to leverage artificial intelligence and generative AI at the edge.\n\n \n \n \n \n \n \n\n \nEdge computing enables enterprises to access computing power via sensors and devices on their networks, reducing dependency on centralized servers and the cloud. Neuro®️ Edge is designed to power the entire value chain of edge AI, from chips and devices to applications and business solution deployments, shortening the path to business value.\nThe new platform expands Cognizant's Neuro®️ AI capabilities, offering a hybrid Cloud + Edge AI solution that supports instant decision-making and complements Cloud AI with deeper insights from longitudinal data. The industry agnostic platform offers advantages for industries where data privacy, security, and real-time decision-making are critical.\n\"Enterprises are increasingly embracing edge computing to enhance the responsiveness of their distributed devices and extract meaningful insights from the data they generate,\" said Vibha Rustagi, Global Head of IoT and Engineering, Cognizant. \"Cognizant Neuro Edge is a powerful example of Cognizant's leadership in developing a new approach to layering of on-board computing and processing with cloud services, paving the way for businesses to unlock a range of generative AI-driven benefits around operational efficiency, cost and risk reduction.\"\nNeuro®️ Edge facilitates real-time interactions with devices, helping businesses to accelerate decision-making, reduce data costs and privacy risks and maintain operational stability even in low bandwidth scenarios. The platform is cloud agnostic, making it ideal for hybrid-and-multi-cloud environments, with computing power placed directly at the device. Some potential key applications across industries include:\nHealthcare: Assisting doctors in their real-time decision-making by drawing on diagnostic sensors;MedTech: Enabling real-time, on device adjustment options and recommendations based on patient data;Energy: Optimizing operations in power generation plants; optimizing res...

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