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The New Intelligent Edge

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2 An AI-Infused, Always-Secure World Is Ours to Make The volume of data and the urgency of its application for digital success mean that the way we modernize embedded devices, from development through deployment and management, is changing right in front of us. Technology such as AI and machine learning will need to work transpar- ently and easily with these devices. And, because needs evolve, devices must be adaptable over their lifecycle. Obviously, there are development challenges. One third of all developers are currently building cloud-native architectures, and another 30% plan to do so within the next year. But the edge can be a hostile region for these cloud-native developers. Physical access and security are chal- lenging, and edge devices are not standardized or interchangeable like servers in a data center. Among these IoT developers, two of the top three concerns, after security (38%), are connectivity (21%) and data collection and analytics (19%). 5 Concerns linger throughout the line of use, given that 93% of automation technologists surveyed feel unpre- pared or only partially prepared to tackle the challenges associated with smart machine technologies. 5   Eclipse Foundation, 2019: drive.google.com/file/d/17WEobD5Etfw5JnoKC1g4IME_XCtPNGGc/view "Whereas we formerly lived in a world of design once, deploy once, and manage through life, going forward we will live in a world of constant digital adaptability." — Paul Miller, Chief Technology Officer, Wind River IoT developers named connectivity and data collection and analytics as two of their top three concerns, after security. 38% 21% 19 %

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