NTT Data introduces new AI solution

NTT DATA has launched its Edge AI platform, designed to enhance IT/OT convergence by processing AI at the edge of networks. This platform addresses the need for real-time, localized decision-making, which traditional AI models and cloud-based solutions may struggle to provide.

The Edge AI platform brings together a range of functions needed for effective AI deployment, including data discovery, collection, integration, and AI model management. Unlike large-scale AI models that are not well-suited for immediate, localized applications, NTT DATA's Edge AI uses smaller, more efficient machine learning models optimized for compact computing environments. This approach allows for real-time data processing and decision-making directly where data is generated.

The platform is fully managed, encompassing all necessary systems and tools for edge AI, and is supported by NTT DATA’s global resources, including consulting data scientists and managed services. It aims to address the challenges of integrating diverse IoT devices and IT assets, simplifying AI deployment and management while securing data from various sources.

The Edge AI platform is tailored for industry-specific needs. For example, in manufacturing, it can enhance predictive maintenance by analyzing data from sensors, machinery, and cameras to prevent failures. It also helps optimize energy consumption by predicting spikes and managing machine usage, which can lead to cost reductions and lower CO2 emissions.

NTT DATA's Edge AI is positioned as a pioneer in industrial AI adoption, with its platform being the first fully managed service of its kind. This solution is designed to harmonize data from various sensors and devices, making it accessible and actionable through lightweight AI models. The platform is part of a broader trend in edge computing, with IDC projecting global spending on edge computing to reach $232 billion in 2024, driven by the proliferation of connected IoT devices.

To attract clients, NTT DATA offers a free 30-day discovery and diagnostic service, which assesses IT and OT environments and generates detailed reports on asset inventories and data streams, including security vulnerabilities. This approach aims to simplify the deployment of AI and improve the overall cost-effectiveness and value of enterprise strategies.

In summary, NTT DATA’s Edge AI platform represents a significant advancement in how industries can harness artificial intelligence to optimize their operations. By processing data at the edge of networks—where data is generated rather than relying on centralized data centers—the platform enables real-time decision-making and enhances operational efficiencies. This approach allows for immediate and secure AI-driven insights across various sectors, from manufacturing to energy management.

The Edge AI platform integrates diverse IoT devices and systems, simplifying the complexities of data management and AI deployment. It addresses critical industry needs by using lightweight, efficient AI models that operate within compact computing environments, making it possible to execute specific tasks such as predictive maintenance or energy optimization effectively. This integration also helps organizations manage and secure their IT and OT environments more effectively, ensuring that data processing and AI applications are both streamlined and secure.

NTT DATA’s platform also supports broader AI adoption in industrial settings by providing a fully managed service that includes all necessary systems, tools, and capabilities for edge AI. This comprehensive approach not only improves operational efficiency but also facilitates a more seamless transition to AI-driven processes. The ability to auto-discover and unify data from various sources further enhances the platform’s value, making it easier for enterprises to implement AI solutions without extensive infrastructure overhauls.

Overall, NTT DATA’s Edge AI platform is poised to drive digital transformation by delivering tailored, industry-specific AI solutions that meet the unique demands of modern enterprises. Its focus on edge computing and real-time data processing represents a crucial step towards advancing Industry 4.0 technologies and achieving more intelligent, data-driven operations.