NTT DATA is making waves in the industrial sector with the introduction of its revolutionary Edge AI platform. This innovative solution aims to bridge the gap between Information Technology (IT) and Operational Technology (OT) by embedding artificial intelligence capabilities directly at the network’s edge. By offering unparalleled real-time insights and decision-making capabilities for industrial operations, NTT DATA is setting a new benchmark in the digital transformation of industries. The integration of AI at the edge eliminates the latency and inefficiencies associated with traditional AI models, resulting in optimized, streamlined operations that can significantly improve both economic and operational outcomes for businesses.
The substantial delays and inefficiencies caused by central processing of data from numerous IoT devices often hinder industrial operations. NTT DATA’s Edge AI platform addresses these challenges by enabling real-time data processing and analytics directly at the network’s edge, allowing organizations to manage, synthesize, and act on data from various IoT devices and IT assets almost instantaneously. This capability not only simplifies operations but also ensures seamless functionality in diverse, fast-paced industrial environments. Shahid Ahmed, Group Executive Vice President of Edge Services at NTT DATA, underscores the importance of security and cost-efficiency that the platform offers by embedding AI at the edge. Harmonizing data from disparate sensors and devices into lightweight AI models powers extensive automation, thereby enhancing operational efficiency and effectiveness.
Revolutionizing Data Processing at the Edge
NTT DATA’s Edge AI platform effectively mitigates the challenges and inefficiencies that are often associated with traditional AI models in industrial settings. By eliminating latency issues inherent in centralized data processing, the platform allows for real-time data analysis directly at the edge of the network. This capability is a game-changer for industrial operations, where split-second decisions and immediate insights are crucial. Consequently, organizations can synthesize and act upon data from a myriad of IoT devices and IT assets almost instantaneously. This immediate processing leads to streamlined operations and heightened efficiency.
Shahid Ahmed, Group Executive Vice President of Edge Services at NTT DATA, highlights the dual benefits of security and cost-efficiency that come with driving AI at the edge. Furthermore, the platform’s ability to harmonize data from various sensors and devices into lightweight AI models helps facilitate numerous automation use cases. This not only simplifies operations but also enhances their effectiveness. By addressing latency and processing issues head-on, NTT DATA’s Edge AI platform enables industries to modernize with industry-specific solutions that are both secure and cost-effective.
Market Prospects and Trends
The Edge computing market is rapidly expanding, with projections estimating a value of USD $232 billion by 2024. This significant growth is fueled by the explosion of IoT devices, which are expected to surpass 41 billion by 2025. As industries continue to embrace digital transformation and the number of connected devices skyrockets, the demand for real-time, edge-based data processing solutions will inevitably rise. NTT DATA aims to seize this burgeoning market opportunity through its comprehensive suite of IoT consulting and services. These services cover a wide range of applications, from predictive maintenance and fleet management to energy consumption monitoring and sustainability initiatives.
By integrating its Edge AI platform into industrial environments, NTT DATA positions itself to capitalize on the accelerating demand for edge computing solutions. The platform’s ability to process data in real-time paves the way for industries to achieve unparalleled efficiency. As businesses embrace digital transformation, the role of real-time data processing at the edge becomes increasingly critical. NTT DATA’s robust suite of IoT consulting and services ensures that the company remains at the forefront of this industry evolution, driving operational excellence across a multitude of sectors.
Features and Benefits of Edge AI
The Edge AI platform, supported by a network of industry experts, data scientists, and global technical resources, brings a variety of features tailored to address industry-specific challenges. Utilizing smaller, task-specific AI models designed for compact computing platforms, the Edge AI ensures efficient real-time data processing. This capability not only enhances predictive maintenance but also optimizes energy consumption and boosts overall operational efficiency. In the manufacturing sector, for instance, the platform provides significant benefits by aggregating data from sensors, machinery, cameras, and applications. By continuously monitoring these diverse data streams, it proactively addresses potential issues, thereby reducing downtime and maintenance costs.
Additionally, the platform’s ability to optimize energy usage in real-time contributes to significant cost savings and reductions in CO2 emissions, aligning with broader sustainability goals. The benefits extend beyond just operational efficiencies; the platform also facilitates a more sustainable approach to industrial operations by managing energy consumption intelligently. This means lower energy costs and a smaller carbon footprint, which are crucial for industries aiming to meet sustainability targets. The real-time processing capabilities coupled with intelligent energy management make NTT DATA’s Edge AI an indispensable tool for modern industrial operations.
Overcoming Challenges with Secure Data Capture
One of the significant challenges enterprises face is the secure and reliable capture of operational data across a fragmented landscape of devices, platforms, and data sources. NTT DATA’s Edge AI platform tackles these complexities by simplifying the data aggregation process, making it easier for enterprises to collect and analyze data securely. Alejandro Cadenas, Associate Vice-President of Telco Mobility and IoT Research at IDC Europe, points out that this approach helps minimize deployment risks and timelines. The platform optimizes the total cost of ownership and enhances the overall value by turning data into actionable insights. By addressing these challenges head-on, the platform ensures that enterprises can securely and reliably capture and leverage their operational data, paving the way for more informed decision-making and efficient operations.
By simplifying the complex process of data aggregation, the platform minimizes the risks and time associated with deployment, thereby providing a smoother transition and faster implementation for enterprises. It also optimizes the total cost of ownership and enhances overall operational value by turning raw data into actionable insights. This ensures that all data, regardless of its source, can be securely captured and effectively used, which is crucial for enterprises aiming to make more informed decisions and run more efficient operations. The secure and efficient data capture capabilities of the Edge AI platform are key to its ability to transform industrial operations and drive innovation.
Alignment with Industry 4.0
The move towards Industry 4.0 necessitates computing and AI integration where data is generated to maximize value. The NTT DATA Edge AI platform aligns perfectly with this vision by facilitating the ingestion of both IT and OT data and applying AI models to drive specific, use-case-driven outcomes. Pablo Tomasi, Principal Analyst of Private Network at Omdia, emphasizes that the platform’s capability to ingest and leverage both IT and OT data ensures that AI models can produce specific, valuable outcomes. Small, task-specific AI models developed for this platform enable enterprises to adopt AI without requiring an overhaul of their entire infrastructure, promoting a broader adoption of AI technologies across various industries.
The platform’s approach democratizes AI, making it accessible and beneficial even to organizations that may not have extensive technical resources. By providing small, task-specific AI models, NTT DATA enables industries to integrate AI into their operations seamlessly. This aligns with the broader Industry 4.0 vision of intelligent manufacturing and automation, where data-driven decisions enhance productivity and efficiency. Companies can thus adopt cutting-edge AI technologies without the need for massive infrastructure changes, making the transition to more advanced, data-driven operations smoother and more cost-effective.
Streamlining Deployment and Diagnostics
NTT DATA is making significant strides in the industrial sector with its groundbreaking Edge AI platform. This cutting-edge solution is designed to bridge the gap between Information Technology (IT) and Operational Technology (OT) by integrating artificial intelligence capabilities right at the network’s edge. Offering unmatched real-time insights and decision-making power for industrial operations, NTT DATA is setting a new standard in digital transformation. By embedding AI at the edge, the platform eliminates the latency and inefficiencies of traditional AI models, resulting in streamlined operations that can substantially improve economic and operational outcomes for businesses.
Traditionally, the central processing of data from numerous IoT devices leads to significant delays and inefficiencies, hampering industrial operations. NTT DATA’s Edge AI platform tackles these issues by enabling real-time data processing directly at the network’s edge. This allows organizations to manage, synthesize, and act on data from various IoT devices and IT assets almost instantly. Shahid Ahmed, Group Executive Vice President of Edge Services at NTT DATA, emphasizes the platform’s security and cost-efficiency. By harmonizing data from different sensors and devices into lightweight AI models, the platform facilitates extensive automation, thereby enhancing operational efficiency and effectiveness in diverse, fast-paced industrial settings.
