NTT DATA Unveils Ultralight Edge AI Platform

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NTT DATA recently unveiled its new Edge AI platform to accelerate IT/OT convergence by bringing AI processing to the edge.

By processing data when and where it is generated and unifying diverse IoT devices, systems and data, this unique, fully managed solution enables real-time decisions, enhanced operational efficiencies and secure AI application deployment across industries to drive advanced Industry 4.0 technologies.

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.

NTT DATA Unveils Ultralight Edge AI Platform

(NTT DATA Edge AI Device)

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.

It 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. 

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 organisation, simplifying AI deployment and management.

Manufacturing operations could benefit from improved predictive maintenance by accessing IT/OT data from sensors, machinery, cameras and applications to plan and address failures.

In addition, NTT DATA’s Edge AI can monitor and optimise energy consumption in real-time, predicting energy spikes and optimising machine usage, reducing costs and CO2 emissions with renewable energy.



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NTT DATA Unveils Ultralight Edge AI Platform


NTT DATA recently unveiled its new Edge AI platform to accelerate IT/OT convergence by bringing AI processing to the edge.

By processing data when and where it is generated and unifying diverse IoT devices, systems and data, this unique, fully managed solution enables real-time decisions, enhanced operational efficiencies and secure AI application deployment across industries to drive advanced Industry 4.0 technologies.

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.

NTT DATA Unveils Ultralight Edge AI Platform

(NTT DATA Edge AI Device)

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.

It 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. 

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 organisation, simplifying AI deployment and management.

Manufacturing operations could benefit from improved predictive maintenance by accessing IT/OT data from sensors, machinery, cameras and applications to plan and address failures.

In addition, NTT DATA’s Edge AI can monitor and optimise energy consumption in real-time, predicting energy spikes and optimising machine usage, reducing costs and CO2 emissions with renewable energy.



Source link

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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