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The article discusses the transformative trends expected in edge AI as 2025 approaches, highlighting the shift towards agentic AI, which enables autonomous decision-making without human intervention. This evolution is set to enhance efficiencies in various sectors, including manufacturing, retail, and smart cities, by allowing edge devices to operate independently. The focus on data gravity emphasizes the need for localized processing of data generated by IoT devices to improve real-time analytics and operational efficiency.
Security concerns are addressed through the implementation of zero trust architecture, which is crucial for protecting distributed edge environments from cyber threats. The article also emphasizes the growing symbiosis between edge, core, and cloud computing, advocating for a hybrid approach to optimize data processing. Finally, the transition from monolithic workloads to edge orchestration platforms, such as Dell NativeEdge, is highlighted as a means to streamline operations and enhance resource utilization.
• Agentic AI will enable autonomous decision-making across various sectors.
• Data gravity will shift 75% of enterprise-managed data to edge locations by 2025.
• Zero trust architecture is essential for securing distributed edge environments.
Agentic AI refers to autonomous systems that make decisions without human input, enhancing operational efficiency.
Data gravity describes how large data volumes attract applications and services, necessitating localized processing.
Zero trust architecture ensures data security by requiring strict verification for access to resources.
Dell Technologies provides edge orchestration platforms like Dell NativeEdge to streamline edge operations.
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