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On Thu, 18 Jul, 4:04 PM UTC
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[1]
NTT DATA Unveils Ultralight Edge AI Platform
Breaks down IT/OT silos with industry's first fully managed Edge AI solution, enabling advanced AI use cases for industrial and manufacturingIntegrates and synthesizes data from sensors, devices and systems into a single data plane, facilitating seamless on-premises processing and real-time decisionsSmaller, task-specific AI models make advanced AI capabilities more accessible, reducing the costs and complexity of AI NTT DATA, a leading IT infrastructure and services company, 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. 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. 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. 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. Solving industry-specific challenges with AI-driven insights 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. 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 optimize energy consumption in real time, predicting energy spikes and optimizing machine usage, reducing costs and CO2 emissions with renewable energy. "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." Seizing the US$200 billion market opportunity According to IDC, worldwide spending on edge computing is expected to reach US$232 billion in 2024, an increase of 15% over 2023. This growth is perpetuated by the growing number of connected IoT devices worldwide, expected to exceed 41 billion by 2025. NTT DATA is poised to capture significant market share through its dedicated IoT consulting and services business, which brings together 1,000 industry experts, hundreds of use cases from predictive maintenance, fleet management, connected factories, energy consumption monitoring and sustainability, and has already trained over 500 sales experts globally to accelerate its Edge AI go-to-market efforts. NTT DATA's Edge AI deployment approach allows clients to take advantage of a free 30-day discovery and diagnostic of their IT and OT environment. The software auto-discovers assets with its vast library of pre-built OT interfaces. After this initial stage, Edge AI software generates a comprehensive diagnostic report inventorying assets and data streams, including identifying security risks and vulnerabilities. "A key challenge for enterprises is reliably capturing and aggregating operational data securely across a fragmented landscape of devices, platforms and data sources and turning it into actionable insights," said Alejandro Cadenas, Associate Vice President, Telco Mobility & IoT Research, IDC Europe. "NTT DATA's ultralight Edge AI addresses these issues and simplifies the deployment and adoption of a data-driven enterprise strategy, reducing risks and timelines and optimizing total cost of ownership and value for the enterprise." Driving secure AI adoption at the edge with the first fully managed service NTT DATA's managed services for Edge AI offer a unified view and management of devices, sensors and assets. With expert support and advanced technologies, NTT DATA helps businesses simplify complex processes, drive cost savings, enhance performance and accelerate digital transformation. As the industry's first fully managed IT/OT convergence platform, Edge AI transforms 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. Edge AI also provides a view of the firmware version of all connected devices to promote vulnerability patching and overall device security. "Computing and AI must happen where they create the most value for the enterprise; for many industrial enterprises this is where the data is generated. By ingesting IT and OT data and leveraging AI models to drive use-case specific results, the NTT DATA solution takes another step towards realizing the industry 4.0 vision," said Pablo Tomasi, Principal Analyst, Private Network, Omdia. "Additionally, using task-specific small AI models will help drive AI democratization by making it is easier for the enterprise to introduce AI where and when is needed, without the need for an extensive overhaul of their whole infrastructure." Edge AI rounds out NTT DATA's comprehensive Edge portfolio, which includes Enterprise IoT, Edge Compute, Private 5G and Device as a Service. About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Visit us at nttdata.com
[2]
NTT Data unveils Ultralight Edge AI platform for internet of things and manufacturing
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More NTT Data, the IT infrastructure and services company owned by Japan's NTT, unveiled its new Edge AI platform to accelerate AI processing to the edge. By processing data when and where it is generated and unifying diverse Internet of Things 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. The tech is aimed at IoT devices, manufacturing and industrial applications. While the spotlight has been on GenAI and Large Language Models (LLMs), NTT Data said 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. Such platforms were a big topic at our recent Transform 2024 event. 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. 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. Solving industry-specific challenges with AI-driven insights 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. 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 optimize energy consumption in real time, predicting energy spikes and optimizing machine usage, reducing costs and CO 2 emissions with renewable energy. "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, in a statement. "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." Seizing the $232 billion market opportunity According to IDC, worldwide spending on edge computing is expected to reach $232 billion in 2024, an increase of 15% over 2023. This growth is perpetuated by the growing number of connected IoT devices worldwide, expected to exceed 41 billion by 2025. NTT Data said it is poised to capture significant market share through its dedicated IoT consulting and services business, which brings together 1,000 industry experts, hundreds of use cases from predictive maintenance, fleet management, connected factories, energy consumption monitoring and sustainability, and has already trained over 500 sales experts globally to accelerate its Edge AI go-to-market efforts. NTT Data's Edge AI deployment approach allows clients to take advantage of a free 30-day discovery and diagnostic of their IT and OT environment. The software auto-discovers assets with its vast library of pre-built OT interfaces. After this initial stage, Edge AI software generates a comprehensive diagnostic report inventorying assets and data streams, including identifying security risks and vulnerabilities. "A key challenge for enterprises is reliably capturing and aggregating operational data securely across a fragmented landscape of devices, platforms and data sources and turning it into actionable insights," said Alejandro Cadenas, associate vice president for telco mobility & IoT research at IDC Europe, in a staetment. "NTT Data's ultralight Edge AI addresses these issues and simplifies the deployment and adoption of a data-driven enterprise strategy, reducing risks and timelines and optimizing total cost of ownership and value for the enterprise." Driving secure AI adoption at the edge with a fully managed service NTT Data's managed services for Edge AI offer a unified view and management of devices, sensors and assets. With expert support and advanced technologies, NTT DATA helps businesses simplify complex processes, drive cost savings, enhance performance and accelerate digital transformation. As the industry's first fully managed IT/OT convergence platform, Edge AI transforms 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. Edge AI also provides a view of the firmware version of all connected devices to promote vulnerability patching and overall device security. "Computing and AI must happen where they create the most value for the enterprise; for many industrial enterprises this is where the data is generated. By ingesting IT and OT data and leveraging AI models to drive use-case specific results, the NTT DATA solution takes another step towards realizing the industry 4.0 vision," said Pablo Tomasi, principal analyst for private networks at Omdia, in a statement. "Additionally, using task-specific small AI models will help drive AI democratization by making it is easier for the enterprise to introduce AI where and when is needed, without the need for an extensive overhaul of their whole infrastructure." Edge AI rounds out NTT Data's comprehensive Edge as a Service portfolio, which includes Enterprise IoT, Edge Compute, Private 5G and Device as a Service. Tokyo-based NTT has more than $30 billion in revenues related to telecommunications and tech.
[3]
NTT DATA Unveils Ultralight Edge AI Platform
Illustration by Two Industry engineers discussion work in the factory workshop 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 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 CO emissions with renewable energy.
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NTT DATA has launched an innovative Ultralight Edge AI Platform, designed to revolutionize Internet of Things (IoT) and manufacturing sectors. This platform aims to enhance edge computing capabilities and enable real-time AI processing in resource-constrained environments.
NTT DATA, a global leader in IT services, has unveiled its groundbreaking Ultralight Edge AI Platform, set to transform the landscape of Internet of Things (IoT) and manufacturing industries. This innovative platform addresses the growing need for efficient edge computing solutions in resource-constrained environments 1.
The Ultralight Edge AI Platform boasts several cutting-edge features that set it apart in the market:
Lightweight Design: The platform is optimized to run on devices with limited computational resources, making it ideal for edge deployment 2.
Real-time Processing: It enables real-time AI inference at the edge, crucial for applications requiring immediate decision-making 1.
Flexibility: The platform supports various AI models and can be customized for specific use cases across different industries 3.
The Ultralight Edge AI Platform is poised to revolutionize several sectors:
Internet of Things: By enabling AI processing at the edge, the platform enhances the capabilities of IoT devices, allowing for smarter and more responsive systems 2.
Manufacturing: In industrial settings, the platform can facilitate real-time quality control, predictive maintenance, and process optimization 1.
Smart Cities: The technology has potential applications in traffic management, public safety, and environmental monitoring 3.
NTT DATA's platform stands out for its technical prowess:
Compact Size: The entire platform, including pre-trained AI models, occupies less than 1MB of storage 1.
Low Power Consumption: It can operate on devices with as little as 6KB of RAM, making it suitable for battery-powered IoT devices 2.
Versatility: The platform supports various AI tasks, including image recognition, anomaly detection, and predictive analytics 3.
The introduction of NTT DATA's Ultralight Edge AI Platform is expected to have far-reaching implications:
Accelerated IoT Adoption: By addressing key challenges in edge computing, the platform could drive wider adoption of IoT technologies across industries 2.
Enhanced Manufacturing Efficiency: The real-time processing capabilities promise to boost productivity and reduce downtime in manufacturing settings 1.
Innovation Catalyst: This breakthrough could inspire further advancements in edge AI technologies, potentially leading to new applications and use cases 3.
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