Cognizant Launches Platform For Enterprises To Leverage AI At The Edge

Cognizant Technology Solutions Corp. has launched Neuro Edge, a new platform in its Neuro suite, to enable businesses across industries to leverage artificial intelligence and generative AI at the edge.

Edge computing enables enterprises to access computing power via sensors and devices on their networks, reducing dependency on centralised servers and the cloud. According to Cognizant, Neuro Edge is designed to support the entire value chain of edge AI, from chips and devices to applications and business solution deployments.

The new platform expands the company’s Neuro AI capabilities, offering a hybrid cloud plus edge AI solution that supports decision-making and complements Cloud AI with insights from longitudinal data. The industry-agnostic platform offers advantages for industries where data privacy, security and real-time decision-making are critical, Cognizant said.

"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. Neuro Edge is an example of “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," Rustagi added.

According to Cognizant, the platform facilitates real-time interactions with devices, helping businesses 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 compatible with hybrid and multi-cloud environments, with computing power placed directly at the device.

Some potential applications of the platform across industries include:

• Healthcare: Assisting doctors in real-time decision-making by drawing on diagnostic sensors.

• MedTech: Enabling real-time, on-device adjustment options and recommendations based on patient data.

• Energy: Optimising operations in power generation plants and response to weather events.

• Logistics: Streamlining fleet performance and reducing downtime through in-vehicle data processing.

• Telecommunications: Enhancing network security, resiliency and automation.

• Manufacturing: Predicting equipment failures to help optimise uptime and operating costs.

• Retail: Enabling intelligent video analysis for real-time theft prevention and in-store traffic pattern monitoring to enhance customer service.

• Automotive: Improving driver and passenger experience by enabling real-time, context-aware and private recommendations via cloud connection. 

Neuro Edge integrates APIs with the edge ecosystem, including sensors, silicon vendors, edge devices and enterprise applications. It offers a foundational architecture and illustrative applications tailored for diverse industrial scenarios. Additionally, it is equipped with monitoring agents that track performance and facilitate ongoing enhancements through feedback loops, Cognizant said.