NTT DATA unveiled its new Edge AI platform to accelerate IT/OT convergence by bringing AI processing to the edge.
NTT DATA’s Edge AI is an all-inclusive managed service platform that includes all the systems, tools and capabilities required for AI at the edge. It addresses data discovery, collection, integration, computation power, seamless connectivity and AI model management. It 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.
The company says that while the spotlight has been on GenAI and Large Language Models (LLMs), these technologies are impractical for industries requiring real-time and local decision-making. NTT DATA’s Edge AI solution addresses this challenge by processing massive data sets on compact computing platforms, using smaller, more efficient machine learning models to deliver real-time AI insights.
The Edge AI platform, supported by NTT DATA’s consulting data scientists, managed services and global technical resources, addresses the shadow IoT challenge and AI infrastructure requirements. It does this by auto-discovering, unifying and processing data from IoT devices and IT assets across the organization, simplifying AI deployment and management.
“Our Edge AI platform represents a significant leap forward in driving AI at the edge securely and cost-effectively,” said Shahid Ahmed, Group Executive Vice President of Edge Services at NTT DATA. “By harmonizing data from disparate sensors and devices with lightweight AI models, powering all kinds of automation use-cases, NTT DATA’s Edge AI is pioneering industrial AI adoption as the first fully managed offering, helping organizations modernize with tailored, industry-specific solutions.”
Edge AI rounds out NTT DATA’s Edge portfolio, which includes Enterprise IoT, Edge Compute, Private 5G and Device as a Service.
