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NTT DATA, a global IT infrastructure and services company, has unveiled its new Edge AI platform to accelerate IT/OT collaboration by bringing AI workload processing to the edge of industrial networks. By processing data closer to its source and unifying diverse IoT devices, systems, and data, the fully managed solution enhances operational efficiency and secure AI application deployment across diverse industries.
While GenAI and Large Language Models have captured the largest amount of attention, these technologies are impractical for industrial environments requiring real-time decision-making at the edge. NTT DATA’s new Edge AI solution addresses this challenge by processing OT data sets on compact computing platforms, using streamlined machine learning models to deliver AI insights.
NTT DATA’s Edge AI is a managed service platform that includes all the systems, tools and capabilities required for managing AI applications at the edge, including data discovery, collection, integration, computation, connectivity, and model management.
Designed to support industry-specific requirements, the Edge AI platform leverages lighter, cost-effective AI models, enabling it to run within a small compute box. Edge AI will perform specific tasks, such as supporting safety or operational efficiency, by collecting data from disparate devices across a network environment, enabling instantaneous and secure data processing and analytics.
As a fully managed IT/OT convergence platform, NTT DATA’s Edge AI seeks to transform physical assets into software assets for data-driven insights, regardless of the manufacturer. Operating at the edge, managed services integrate OT assets with IT applications, boosting operational efficiency.
ARC Advisory is currently updating our market research on Industrial Edge Software Platforms. For updates on this research effort as well as further coverage of Edge AI, please visit our website.